Existing Policy Proposals Targeting Present and Future Harms
Frames AI safety and AI ethics regulation as complementary rather than competing - a framing APS governance teams may find useful when building cross-stakeholder consensus.
Key points
- Centre for AI Safety outlines three existing policy proposals it believes advance AI safety: legal liability, regulatory scrutiny, and human oversight.
- The piece argues overlap exists between AI safety researchers and fairness/accountability/transparency advocates - useful framing for APS consensus-building.
- This is an undated, short position piece from a US think tank; it predates recent major regulatory developments including the EU AI Act's passage.
Implications for Australian agencies
- Consider APS policy teams developing AI governance frameworks could consider the consensus-framing argument when engaging stakeholders from both safety and fairness/ethics communities.
- Monitor Agencies may want to monitor whether the Centre for AI Safety's forthcoming fuller policy recommendations expand on these themes with more operational detail.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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Weekly digest, 4 May 2026
"Existing Policy Proposals Targeting Present and Future Harms"
Source: Centre for AI Safety – Blog
Published: (undated)
URL: https://safe.ai/blog/three-policy-proposals-for-ai-safety
The Centre for AI Safety argues that three existing policy proposals - improved legal liability for AI harms, increased regulatory scrutiny of AI development including training data, and mandatory human oversight for high-risk systems - serve both present fairness and accountability objectives and longer-term AI safety goals. The piece draws on the AI Now Institute's general-purpose AI policy brief and the EU AI Act's human oversight provisions. It positions the overlap between safety and ethics regulatory communities as an opportunity for coalition-building. The document is undated and brief, functioning as a high-level signpost rather than a substantive policy analysis.
Implications for Australian agencies:
- [Consider] APS policy teams developing AI governance frameworks could consider the consensus-framing argument when engaging stakeholders from both safety and fairness/ethics communities.
- [Monitor] Agencies may want to monitor whether the Centre for AI Safety's forthcoming fuller policy recommendations expand on these themes with more operational detail.
Retrieved from SIMS, 18 July 2026.