References
References and evidence notes
Every factual claim on this site resolves to an entry here. Where a source link is still being retrieved, the entry says so.
Reference list
Why now
- 1
Stanford Institute for Human-Centered AI. (2026). Artificial intelligence index report 2026: Responsible AI. Stanford University. https://hai.stanford.edu/ai-index/2026-ai-index-report/responsible-ai
Supports: Reported incident counts, 2024 and 2025 (AI Incident Database).
https://hai.stanford.edu/ai-index/2026-ai-index-report/responsible-aiTier T2
- 2
Reddy, S., & Gujral, A. (2025). EchoLeak: Zero-click prompt injection in an enterprise copilot (CVE-2025-32711). Proceedings of the AAAI Symposium Series, 7(1), 303–311. https://doi.org/10.1609/aaaiss.v7i1.36899
Supports: The 2025 zero-click prompt-injection chain (EchoLeak / Microsoft 365 Copilot).
- 3
Anthropic Alignment Team. (2025, November 21). From shortcuts to sabotage: Natural emergent misalignment from reward hacking. Anthropic. https://www.anthropic.com/research/emergent-misalignment-reward-hacking
Supports: The 2025 reward-hacking findings.
https://www.anthropic.com/research/emergent-misalignment-reward-hackingTier T1
- 4
Hugging Face. (2026, July 16). Security incident disclosure — July 2026. https://huggingface.co/blog/security-incident-july-2026 ; OpenAI. (2026, August 26). The Hugging Face incident and the road ahead. https://openai.com/index/hugging-face-incident-and-the-road-ahead/
Supports: The July 2026 incident, as disclosed by both companies.
https://huggingface.co/blog/security-incident-july-2026Tier T1
- 5
Method note: publication-velocity proxy for control-failure and oversight research in arXiv (2024–2026 compared with 2020–2023).
Supports: The roughly seven-fold directional figure.
Tier T2
- 6
Amazon Web Services. (2025, July 23). AWS Security Bulletin AWS-2025-015: Amazon Q Developer for VS Code extension compromise (CVE-2025-8217). https://aws.amazon.com/security/security-bulletins/AWS-2025-015/ ; GitHub Advisory GHSA-7g7f-ff96-5gcw. https://github.com/aws/aws-toolkit-vscode/security/advisories/GHSA-7g7f-ff96-5gcw
Supports: The 2025 AI coding-assistant supply-chain near-miss.
https://aws.amazon.com/security/security-bulletins/AWS-2025-015/Tier T1
- 7
Pen Test Partners. (2025, December 22). Eurostar AI vulnerability: When a chatbot goes off the rails. https://www.pentestpartners.com/security-blog/eurostar-ai-vulnerability-when-a-chatbot-goes-off-the-rails/ ; eMarketer. (2025, December 5). Gap’s AI chatbot slip-up spotlights rising brand safety concerns. https://www.emarketer.com/content/gap-chatbot-jailbreak-brand-safety-risk
Supports: The December 2025 interface and guardrail failures.
- 8
OpenAI. (2025, April 16). OpenAI o3 and o4-mini system card. https://openai.com/index/o3-o4-mini-system-card/
Supports: The frontier-lab evaluation signal on reward hacking.
Reference list
The gap
- 9
Cox, J. G. (2026). From control to relationship: A peace studies approach to AI alignment, with evidence from multi-model dialogue. AI Magazine, 47(3), e70090. https://doi.org/10.1002/aaai.70090
Supports: The shift from directed to reasoned-with; alignment as negotiating relationships.
- 10
Hadfield-Menell, D., Dragan, A., Abbeel, P., & Russell, S. (2017). The off-switch game. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 220–227). https://www.ijcai.org/proceedings/2017/0032.pdf
Supports: The counterparty with its own interests; the off-switch incentive.
- 11
Wang, S., Lobanova, S., Arbel, Y., Goldstein, S., & Salib, P. (2026). AI revealed preferences. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES), 9(4), 2688–2698. https://doi.org/10.1609/aies.v9i4.43341
Supports: Language models have stable, measurable preferences that scale with capability.
- 12
Hardin, R. (2002). Trust and trustworthiness. Russell Sage Foundation.
Supports: Trust as encapsulated interest; structuring incentives to secure commitment.
Tier T1
- 13
Dafoe, A., Hughes, E., Bachrach, Y., Collins, T., McKee, K. R., Leibo, J. Z., Larson, K., & Graepel, T. (2020). Open problems in cooperative AI (arXiv:2012.08630). arXiv. https://arxiv.org/abs/2012.08630
Supports: Commitment capabilities; the under-prioritised problems of trust and commitment.
- 14
Keohane, R. O. (1984). After hegemony: Cooperation and discord in the world political economy. Princeton University Press.
Supports: Nonhegemonic cooperation; international regimes as self-interested arrangements.
Tier T1
- 15
Nagar, S., & Eaves, D. (2026, May 11). Will AI produce the next great divergence? Lawfare. https://www.lawfaremedia.org/article/will-ai-produce-the-next-great-divergence
Supports: AI as a critical juncture; adaptation requires a whole-of-society ecosystem.
https://www.lawfaremedia.org/article/will-ai-produce-the-next-great-divergenceTier T2
Reference list
The field
- 16
Long, R., Sebo, J., & Butlin, P. (2024). Taking AI welfare seriously. https://arxiv.org/abs/2411.00986
Supports: The foundational statement of the AI-welfare question.
- 17
Keeling, G., & Street, W. (2026). Emerging questions in AI welfare (Elements in Philosophy and AI). Cambridge University Press. https://doi.org/10.1017/9781009732000
Supports: The open questions at the AI-welfare research frontier.
- 18
Earp, B. D., et al. (2025). Relational norms for human-AI cooperation (arXiv:2502.12102). arXiv. https://arxiv.org/abs/2502.12102
Supports: The norms of engagement between humans and AI.
- 19
Bullock, J. B., Hammond, S., & Krier, S. (2025). AGI, governments, and free societies (arXiv:2503.05710). arXiv. https://arxiv.org/abs/2503.05710
Supports: What institutions must become under AGI.
- 20
Maas, M. M., & Olasunkanmi, T. (2025). Treaty-following AI (LawAI Working Paper Series No. 1-2025). https://law-ai.org/treaty-following-ai/
Supports: Credible commitment without enforcement; treaties as coordination infrastructure.
Legend
Evidence tiers
- Tier 1
- A primary source: a peer-reviewed paper or a disclosure by the organisations involved.
- Tier 2
- An aggregate or secondary compilation. Used directionally, with its limits stated beside the claim.