Source Register — AI Ethics in Education 600 words

Source Register — AI Ethics in Education

Distilled from course pack Appendix B. Restricted set: nothing outside this register is cited anywhere in the course. Per-session mapping matches syllabus §4.

Primary — Stanford HAI

MIT — AI & Education Report

Source Used in
MIT Ad Hoc Committee on AI in Education, Final Report (Aug 2026) — aiandeducation.mit.edu/report/ — 8 principles, 30 sub-recommendations. Full report PDF in reports/MIT-AI-Committee-Final-Report.pdf S1 (recommended reading), S2 (apprenticeship-displacement Card 9), S5 (grading-system provocation), S6 (guideline component 6, instructor disclosure, mirror-test; evidence base for components 4b and 8)

Primary — Stanford HAI

Source Used in
2026 AI Index Report, esp. Education chapter — hai.stanford.edu/ai-index/2026-ai-index-report S1 (data walk), S3 (adoption), S6 (policy-clarity stat)
HAI Education programs & mission — hai.stanford.edu/education S1, S2 (human-centered framing)
"AI-Detectors Biased Against Non-Native English Writers" (HAI News) S3
"AI's 'Delusional Spirals'…" (HAI News, Apr 2026) S2 (wellbeing risk)

Stanford research

Source Used in
Liang, Yuksekgonul, Mao, Wu & Zou (2023), Patterns 4(7), DOI 10.1016/j.patter.2023.100779 — detector bias vs non-native writers S3 evidentiary core; cited inside Guideline v0.1 (S7)
Wang, Demszky et al. (2024), Tutor CoPilot (arXiv/working paper) S1 (opportunity ledger)

Ivy League / top-tier

Source Used in
Bastani et al. (2025), PNAS 122(26), DOI 10.1073/pnas.2422633122 — crutch-effect RCT S5 core; previewed S2
Mollick & Mollick (2023), "Assigning AI" (SSRN) — seven roles S5
Kosmyna et al. (MIT Media Lab, 2025), "Your Brain on ChatGPT" (arXiv preprint, N=54 — always cite with limitations) S2 (cognitive risk), S5 (discernment contrast vs RCT)
Floridi et al. (2018), "AI4People," Minds and Machines — five principles S2
Wan et al. (2023), reference-letter gender bias, EMNLP Findings S2 (P03 demo grounding)
Harvard CS50 AI tutor (Malan et al., SIGCSE) S1, S3
Stanford / Harvard / MIT generative-AI teaching guidance pages — devolved-but-scaffolded shape S6

Frontier lab — Anthropic

Source Used in
AI Fluency Framework (Dakan, Feller & Anthropic, CC BY-NC-SA 4.0) — aifluencyframework.org S4 spine; optional pre-work (S1)
Anthropic Education Report: How University Students Use Claude (Apr 2025) S1, S2, S3 (usage + misuse patterns)
Anthropic faculty-usage education report (Aug 2025, ~74k conversations) S4

Local statutory / regulatory (structural, not "cited")

Source Used in
Personal Data Protection Act 2010 (Malaysia) S2 (privacy risk), S4 (lab rule), S6–S7 (guideline component 6)
NAIO AI Governance Bill consultation fact sheets (AI_Governance_Bill_Fact_Sheet.md, this folder; distilled in malaysia-ai-governance-note.md) S6–S7 (five principles crosswalk, three-tier risk framework, Central Authority pattern)
[LOCAL] slots: MQA programme standards, MOHE guidance, institutional senate S6–S7, filled by guideline owner

Case dossiers to compile (sources/cases/)

Case Opens Status
UK Ofqual 2020 grading algorithm (39% downgraded; U-turn) S2 (case-first opening) ☑ cases/ofqual-2020.md
St George's Hospital Medical School admissions screening (1980s) S2 (historical anchor) ☑ cases/st-georges-1980s.md
Texas A&M–Commerce ChatGPT false-accusation (May 2023) S3 (case-first opening) ☑ cases/texas-am-commerce-2023.md

Framework lineage (disclosed, not cited)