Item Catalogue

Week of 29 June 2026

Centre for AI Safety – Blog(Global) 2 Jul 2026 52

A Significant Increase in Digital Labor Automation

The Remote Labor Index shows AI automation of freelance professional work rose from 2.5% to 16.1% in under eight months.

Key points

Benchmark covers economically valuable tasks - 3D design, video, architecture, data analysis - relevant to APS workforce planning.
Automated LLM judges overstate frontier model capability by 2-3x, reinforcing the need for human evaluation in AI assurance.

Week of 4 May 2026

Centre for AI Safety – Blog(Global) 9 May 2026 58

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

CAIS releases WMDP, a 4,157-question benchmark measuring hazardous AI knowledge in biosecurity, cybersecurity, and chemical security.

Key points

Accompanying 'CUT' unlearning method removes hazardous knowledge from LLMs while preserving general capabilities, resisting jailbreaking.
Benchmark and method are research outputs; no direct Australian regulatory mandate is attached to their adoption.

Centre for AI Safety – Blog(Global) 9 May 2026 52

AI Safety, Ethics, and Society

Centre for AI Safety has published a free interdisciplinary textbook covering AI safety, ethics, and governance.

Key points

The course targets non-technical audiences including policy professionals - accessible to APS practitioners without ML background.
The 2024 course application deadline has passed; the textbook remains freely available online as a reference resource.

Centre for AI Safety – Blog(Global) 9 May 2026 52

Biosecurity and AI: Risks and Opportunities

AI capabilities in protein design, DNA synthesis guidance, and multimodal coaching substantially lower bioterrorism barriers.

Key points

Proposed mitigations include sequence screening, access controls on biotech AI tools, and chatbot knowledge exclusions.
Undated think-tank piece; no Australian-specific content, but biosecurity-AI overlap is increasingly active in international policy forums.

Centre for AI Safety – Blog(Global) 9 May 2026 52

Cybersecurity and AI: The Evolving Security Landscape

AI is accelerating both cyberattack sophistication and scale, with non-state actors increasingly empowered to target critical infrastructure.

Key points

Structural deficiencies in patch management, legacy systems, and security culture mean defensive AI benefits may not be realised in practice.
Primarily a US-focused think-tank explainer; useful framing but limited direct APS policy or operational specificity.

Centre for AI Safety – Blog(Global) 9 May 2026 48

Existing Policy Proposals Targeting Present and Future Harms

Centre for AI Safety outlines three existing policy proposals it believes advance AI safety: legal liability, regulatory scrutiny, and human oversight.

Key points

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.

Centre for AI Safety – Blog(Global) 9 May 2026 48

Representation Engineering: a New Way of Understanding Models

CAIS research introduces 'representation engineering' to identify and control honesty, power-seeking, and morality in LLMs.

Key points

The technique manipulates internal model activations to make models more or less honest - a transparency and control advance.
This is foundational AI safety research; no immediate APS operational application, but relevant to longer-term AI assurance thinking.

Centre for AI Safety – Blog(Global) 9 May 2026 42

Superhuman Automated Forecasting

Centre for AI Safety's FiveThirtyNine bot matches crowd-level forecasting accuracy on 177 Metaculus questions using GPT-4o.

Key points

The post argues AI forecasting bots could help policymakers reduce bias and improve decision-making on complex topics.
Automation bias, tail-risk neglect, and lack of fine-tuning are flagged limitations relevant to any government deployment context.

Centre for AI Safety – Blog(Global) 9 May 2026 38

Devising ML Metrics

CAIS blog post by Dan Hendrycks outlines principles for designing effective ML evaluation benchmarks.

Key points

Benchmark design shapes which AI capabilities get measured and improved - relevant to AI assurance and evaluation work.
Practical guidance targets ML researchers; limited direct applicability to APS governance or policy practitioners.

Centre for AI Safety – Blog(Global) 9 May 2026 38

Submit Your Toughest Questions for Humanity's Last Exam

CAIS and Scale AI are crowdsourcing expert-level questions to build a frontier AI capability benchmark called Humanity's Last Exam.

Key points

The project addresses benchmark saturation - top AI models now near-ceiling existing tests like MMLU.
This item is a call for submissions with a November 2024 deadline - likely already closed, limiting immediate relevance.

Centre for AI Safety – Blog(US) 9 May 2026 35

Leading AI Companies Join White House's Voluntary Commitment to Enhance AI Safety

Seven leading AI companies made voluntary White House commitments on safety, including red-teaming and information sharing.

Key points

CAIS frames these commitments as a stepping stone toward binding regulatory obligations - not an endpoint.
This item appears undated and likely reflects the July 2023 White House voluntary commitments - now superseded by subsequent US developments.

Centre for AI Safety – Blog(Global) 9 May 2026 32

A Bird's Eye View of the ML Field

CAIS blog post explains structural dynamics of ML research: metrics, creative destruction, and conference incentives.

Key points

Argues that safety-relevant research ecosystems, datasets, and culture survive paradigm shifts better than specific methods.
Foundational orientation piece for AI safety researchers; limited direct operational relevance for APS practitioners.