GP Vocabulary: Science & Technology

GP science technology vocabulary is useful when students can describe how knowledge is produced, how technology is deployed, who benefits, what risks are created and what institutions govern uncertain outcomes. A strong General Paper essay does not need to sound like a laboratory report. It needs language for evidence, innovation, regulation, risk, access, ethics, expertise, uncertainty and social change.

Students searching for GP science technology vocabulary, science and technology essay words, AI vocabulary, biotechnology vocabulary or GP technology phrases often collect topic nouns but miss the verbs and evaluative terms that make an argument work. “AI is advancing rapidly” is descriptive. A GP paragraph asks what capability is improving, what evidence exists, which tasks are affected, how risks are distributed, what regulation can realistically do and whether the benefits justify the costs.

The current H1 General Paper syllabus 8881 identifies science and technology as one of the broad issue areas candidates may draw on, while requiring analysis, evaluation, synthesis and clear communication. This page builds a cross-topic vocabulary system for AI, digital platforms, scientific research, medicine, biotechnology, data, automation and emerging technologies. Use it with the General Paper Vocabulary List and the SEAB A-Level syllabus listings.

Quick Read

160 words across evidence, innovation, AI, data, medicine, biotechnology, risk, regulation and access.
Separate scientific uncertainty from ignorance.
Distinguish capability, adoption, impact and governance.
Use evaluative vocabulary to discuss trade-offs and affected groups.
Move vocabulary across topics instead of memorising one technology essay.

160 GP science and technology words

Scientific knowledge and evidence

1. hypothesis

Learn hypothesis as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

2. experiment

Learn experiment as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

3. observation

Learn observation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

4. empirical

Learn empirical as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

5. replicate

Learn replicate as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

6. peer review

Learn peer review as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

7. evidence

Learn evidence as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

8. data

Learn data as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

9. methodology

Learn methodology as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

10. variable

Learn variable as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

11. control

Learn control as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

12. correlation

Learn correlation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

13. causation

Learn causation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

14. uncertainty

Learn uncertainty as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

15. confidence

Learn confidence as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

16. reliability

Learn reliability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

17. validity

Learn validity as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

18. consensus

Learn consensus as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

19. expertise

Learn expertise as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

20. inference

Learn inference as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to scientific knowledge and evidence. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

Innovation and change

21. innovation

Learn innovation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

22. invention

Learn invention as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

23. diffusion

Learn diffusion as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

24. adoption

Learn adoption as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

25. scalable

Learn scalable as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

26. disruption

Learn disruption as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

27. incremental

Learn incremental as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

28. breakthrough

Learn breakthrough as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

29. prototype

Learn prototype as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

30. commercialisation

Learn commercialisation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

31. research

Learn research as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

32. development

Learn development as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

33. productivity

Learn productivity as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

34. efficiency

Learn efficiency as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

35. capability

Learn capability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

36. application

Learn application as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

37. infrastructure

Learn infrastructure as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

38. transition

Learn transition as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

39. adaptation

Learn adaptation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

40. obsolescence

Learn obsolescence as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to innovation and change. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

AI and automation

41. algorithm

Learn algorithm as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

42. automation

Learn automation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

43. artificial intelligence

Learn artificial intelligence as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

44. machine learning

Learn machine learning as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

45. model

Learn model as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

46. training data

Learn training data as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

47. prediction

Learn prediction as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

48. classification

Learn classification as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

49. generation

Learn generation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

50. autonomy

Learn autonomy as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

51. human oversight

Learn human oversight as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

52. bias

Learn bias as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

53. hallucination

Learn hallucination as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

54. benchmark

Learn benchmark as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

55. compute

Learn compute as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

56. deployment

Learn deployment as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

57. alignment

Learn alignment as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

58. decision support

Learn decision support as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

59. workflow

Learn workflow as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

60. augmentation

Learn augmentation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to ai and automation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

Data and digital systems

61. data

Learn data as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

62. database

Learn database as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

63. privacy

Learn privacy as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

64. encryption

Learn encryption as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

65. cybersecurity

Learn cybersecurity as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

66. surveillance

Learn surveillance as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

67. platform

Learn platform as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

68. network

Learn network as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

69. interoperability

Learn interoperability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

70. digital identity

Learn digital identity as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

71. consent

Learn consent as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

72. personalisation

Learn personalisation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

73. recommendation

Learn recommendation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

74. metadata

Learn metadata as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

75. traceability

Learn traceability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

76. security

Learn security as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

77. access

Learn access as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

78. data governance

Learn data governance as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

79. digital divide

Learn digital divide as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

80. infrastructure

Learn infrastructure as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to data and digital systems. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

Medicine and health technology

81. diagnosis

Learn diagnosis as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

82. screening

Learn screening as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

83. treatment

Learn treatment as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

84. therapy

Learn therapy as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

85. clinical

Learn clinical as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

86. trial

Learn trial as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

87. efficacy

Learn efficacy as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

88. safety

Learn safety as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

89. risk-benefit

Learn risk-benefit as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

90. public health

Learn public health as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

91. preventive

Learn preventive as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

92. precision medicine

Learn precision medicine as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

93. medical device

Learn medical device as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

94. telemedicine

Learn telemedicine as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

95. genomics

Learn genomics as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

96. vaccine

Learn vaccine as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

97. accessibility

Learn accessibility as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

98. affordability

Learn affordability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

99. healthcare system

Learn healthcare system as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

100. evidence-based

Learn evidence-based as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to medicine and health technology. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

Biotechnology and ethics

101. gene editing

Learn gene editing as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

102. genetic

Learn genetic as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

103. genome

Learn genome as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

104. biotechnology

Learn biotechnology as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

105. synthetic biology

Learn synthetic biology as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

106. bioethics

Learn bioethics as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

107. consent

Learn consent as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

108. heritable

Learn heritable as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

109. therapy

Learn therapy as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

110. enhancement

Learn enhancement as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

111. risk

Learn risk as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

112. precaution

Learn precaution as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

113. dual use

Learn dual use as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

114. biosafety

Learn biosafety as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

115. ownership

Learn ownership as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

116. patent

Learn patent as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

117. equity

Learn equity as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

118. research ethics

Learn research ethics as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

119. human subject

Learn human subject as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

120. regulation

Learn regulation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to biotechnology and ethics. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

Risk, uncertainty and precaution

121. risk

Learn risk as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

122. hazard

Learn hazard as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

123. uncertainty

Learn uncertainty as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

124. probability

Learn probability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

125. severity

Learn severity as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

126. irreversible

Learn irreversible as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

127. precaution

Learn precaution as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

128. mitigation

Learn mitigation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

129. resilience

Learn resilience as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

130. robust

Learn robust as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

131. failure mode

Learn failure mode as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

132. externality

Learn externality as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

133. unintended consequence

Learn unintended consequence as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

134. trade-off

Learn trade-off as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

135. tolerance

Learn tolerance as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

136. threshold

Learn threshold as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

137. exposure

Learn exposure as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

138. vulnerability

Learn vulnerability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

139. monitoring

Learn monitoring as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

140. contingency

Learn contingency as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to risk, uncertainty and precaution. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

Governance and regulation

141. regulation

Learn regulation as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

142. standard

Learn standard as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

143. compliance

Learn compliance as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

144. oversight

Learn oversight as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

145. accountability

Learn accountability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

146. transparency

Learn transparency as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

147. audit

Learn audit as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

148. licensing

Learn licensing as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

149. liability

Learn liability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

150. governance

Learn governance as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

151. institution

Learn institution as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

152. enforcement

Learn enforcement as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

153. sandbox

Learn sandbox as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

154. framework

Learn framework as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

155. public interest

Learn public interest as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

156. competition

Learn competition as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

157. monopoly

Learn monopoly as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

158. interoperability

Learn interoperability as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

159. disclosure

Learn disclosure as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

160. safeguard

Learn safeguard as part of a causal or evaluative relationship. Explain it in plain English, add one natural collocation and use it in a GP sentence connected to governance and regulation. Then move it into a second technology or science topic. Cross-topic transfer is what prevents vocabulary from becoming a memorised AI essay.

The four layers of a science-and-technology argument

1. Capability

What can the technology or method actually do? Avoid discussing social impact before identifying the capability precisely.

2. Adoption

Who can access it, at what cost, through which institutions and with what infrastructure? A laboratory capability may have limited real-world adoption.

3. Impact

What outcomes follow for productivity, safety, inequality, privacy, employment, health, environment or culture? Distinguish measured effects from predictions.

4. Governance

What rules, standards, accountability mechanisms or professional norms are needed? Regulation should respond to a defined risk rather than fear of novelty alone.

The Fencing Method: science-and-technology distinctions

evidence / proof

Evidence can support a conclusion without establishing it with absolute certainty; proof is a stronger claim. Build a GP example in which confusing the two changes the evaluation.

uncertainty / ignorance

Uncertainty can be quantified or bounded even when knowledge is substantial; ignorance means relevant knowledge is absent. Build a GP example in which confusing the two changes the evaluation.

invention / innovation

Invention creates something new; innovation includes developing, applying or diffusing ideas in useful new ways. Build a GP example in which confusing the two changes the evaluation.

automation / AI

Automation performs processes with reduced human intervention; AI is a broader family of computational capabilities and may or may not automate the entire task. Build a GP example in which confusing the two changes the evaluation.

accuracy / reliability

Accuracy concerns correctness; reliability concerns consistent dependable performance. Build a GP example in which confusing the two changes the evaluation.

efficacy / effectiveness

Efficacy often concerns performance under controlled conditions; effectiveness concerns real-world performance. Build a GP example in which confusing the two changes the evaluation.

risk / hazard

A hazard is a potential source of harm; risk includes likelihood and consequence in context. Build a GP example in which confusing the two changes the evaluation.

privacy / security

Privacy concerns appropriate control over personal information; security concerns protection against unauthorised access or damage. Build a GP example in which confusing the two changes the evaluation.

regulation / governance

Regulation is one formal tool; governance includes wider rules, institutions, norms, oversight and accountability. Build a GP example in which confusing the two changes the evaluation.

augmentation / replacement

Augmentation supports human capability; replacement substitutes for a human role or task. Build a GP example in which confusing the two changes the evaluation.

High-value collocations

1. scientific evidence

Use scientific evidence in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

2. peer-reviewed research

Use peer-reviewed research in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

3. empirical finding

Use empirical finding in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

4. causal relationship

Use causal relationship in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

5. technological innovation

Use technological innovation in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

6. rapid adoption

Use rapid adoption in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

7. digital infrastructure

Use digital infrastructure in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

8. algorithmic bias

Use algorithmic bias in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

9. training data

Use training data in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

10. human oversight

Use human oversight in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

11. privacy protection

Use privacy protection in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

12. security vulnerability

Use security vulnerability in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

13. medical diagnosis

Use medical diagnosis in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

14. clinical trial

Use clinical trial in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

15. public health system

Use public health system in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

16. genetic modification

Use genetic modification in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

17. ethical concern

Use ethical concern in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

18. dual-use risk

Use dual-use risk in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

19. precautionary approach

Use precautionary approach in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

20. risk mitigation

Use risk mitigation in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

21. regulatory framework

Use regulatory framework in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

22. institutional oversight

Use institutional oversight in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

23. commercial incentive

Use commercial incentive in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

24. market concentration

Use market concentration in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

25. digital divide

Use digital divide in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

26. equitable access

Use equitable access in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

27. unintended consequence

Use unintended consequence in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

28. long-term uncertainty

Use long-term uncertainty in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

29. evidence-based policy

Use evidence-based policy in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

30. public trust

Use public trust in two different technology contexts. Then add one sentence stating a limitation or condition. The collocation should anchor analysis, not serve as decoration.

How to write about AI without writing the same essay

AI is not one single capability. A useful paragraph specifies the task: generate text, classify images, predict demand, support diagnosis, automate scheduling or recommend content. The social consequences differ because the workflow, error cost, human oversight and affected groups differ.

Avoid claims such as “AI will replace humans”. Stronger language asks which tasks can be automated, which occupations contain those tasks, what complementary skills become more valuable and how quickly organisations can adopt the technology. This turns a slogan into analysis.

How to discuss scientific uncertainty

Scientific knowledge often includes uncertainty, confidence intervals, model limitations or incomplete evidence. This is not a weakness that automatically makes all conclusions equally uncertain. GP students should distinguish “the evidence is uncertain” from “nothing is known”.

Useful evaluation asks whether uncertainty is material to the decision. If a possible harm is severe and irreversible, policymakers may reasonably act before every uncertainty disappears. In other cases, premature regulation may impose costs without sufficient evidence. The decision depends on stakes, reversibility, evidence strength and available alternatives.

How to discuss regulation

Regulation should be tied to a defined failure: safety risk, privacy harm, monopoly power, misleading claims, lack of accountability or external costs. Saying “technology needs regulation” is incomplete until the student identifies what rule, who enforces it and what trade-off follows.

A useful regulatory paragraph can compare prescriptive rules, performance standards, licensing, audits, transparency requirements, liability, competition policy or controlled testing environments. Not every problem requires the same tool.

How to discuss access and inequality

Technology can lower costs at scale while still excluding users who lack devices, connectivity, skills, language support or institutional access. This is why “available online” does not automatically mean “accessible”.

Strong GP vocabulary names the barrier: affordability, infrastructure, digital literacy, accessibility, trust, interoperability or distribution. Once the barrier is named, the essay can evaluate whether the technology narrows or widens inequality.

A 12-week GP science-and-technology plan

Week 1: scientific method and evidence

Learn 12–15 terms, but master only 6–8 through writing. Read one credible explainer or report, extract two examples and write one evaluative paragraph. Reuse older terms so the vocabulary remains interconnected.

Week 2: innovation and diffusion

Week 3: AI capabilities

Week 4: data and privacy

Week 5: cybersecurity and platforms

Week 6: medicine and health technology

Week 7: biotechnology and bioethics

Week 8: risk and precaution

Week 9: regulation and governance

Week 10: access and inequality

Week 11: employment and automation

Week 12: mixed evaluation across unfamiliar technologies

30 GP science-and-technology drills

Drill 1

Write 150 words about AI tutoring. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 2

Write 150 words about autonomous vehicles. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 3

Write 150 words about facial recognition. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 4

Write 150 words about gene editing. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 5

Write 150 words about telemedicine. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 6

Write 150 words about renewable energy technology. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 7

Write 150 words about social media algorithms. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 8

Write 150 words about medical screening. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 9

Write 150 words about cybersecurity. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 10

Write 150 words about automation at work. Use one evidence term, one risk term, one governance term and one access term. Then mark every claim about the future and qualify any prediction that exceeds the evidence you have stated.

Drill 11

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Frequently asked questions

Do GP students need technical expertise?

No. They need enough conceptual understanding to make accurate arguments and examples.

Can I memorise one AI essay?

It is risky. Questions change, and AI itself covers many different applications and trade-offs.

How should students use scientific studies?

Accurately and cautiously. Avoid inventing numbers or presenting one study as universal proof.

Is uncertainty a reason to avoid conclusions?

No. Students can make qualified judgements that reflect the strength and limits of evidence.

Should technology essays always include regulation?

Only when governance is relevant to the specific risk or market failure being discussed.

How do I avoid vague words such as ‘advanced’?

Name the capability, performance dimension or institutional change that actually improved.

What is the best revision method?

Theme reading plus vocabulary retrieval and paragraph writing across different technologies.

What shows mastery?

The student can analyse an unfamiliar technology using evidence, adoption, impact and governance language.

Final principle

Science and technology vocabulary should help a GP student move from excitement or fear to analysis. Ask what the system can do, how widely it can be adopted, what evidence exists, who bears the risk, who gains access and what governance is proportionate. Those questions remain useful even when the technology changes.

Continue with the General Paper Vocabulary List and the Singapore Vocabulary Guide.

eduKate SG

GP Vocabulary by Theme: Science and Technology