Week of 3 March 2025
NIST has finalised SP 800-226, guidelines for evaluating differential privacy guarantees in data analytics.
Key points
- Differential privacy is a privacy-enhancing technology relevant to data sharing and de-identification, including in government contexts.
- This is a US standards publication; no direct Australian regulatory parallel exists yet, limiting immediate APS applicability.
Alan Turing Institute's AI UK 2025 conference will feature prominent women AI and tech experts.
Key points
- Published ahead of International Women's Day; promotional blog with no substantive AI governance content.
- Low signal for APS readers - an event promotion piece with no policy or technical substance.
Week of 24 February 2025
MIT AI Risk Repository spotlights a 2023 framework for evaluating generative AI social impacts across eleven categories.
Key points
- Framework covers both technical system-level evaluation and broader societal impacts, with modality-specific mitigation guidance.
- Useful reference material for agencies developing AI risk or impact assessment frameworks, though not APS-specific.
Week of 17 February 2025
AI Now Institute co-published a report on how algorithmic surveillance of prices and wages harms the public.
Key points
- The report covers AI-enabled price and wage surveillance - a consumer and labour-market governance concern relevant to Australian regulators.
- Extracted text is minimal; full substance requires reading the underlying report directly.
Attorney-General's Department has published its Data Strategy 2025–2027, covering four focus areas.
Key points
- AI and machine learning are named as analytical tools to support evidence-based policy - but remain secondary to the data governance framing.
- Limited direct AI governance content; this is primarily a data maturity and literacy strategy with AI as one thread.
Alan Turing Institute's Chief Scientist highlights seven sessions at the AI UK 2025 conference.
Key points
- Content is promotional event guidance from a UK think tank - no substantive policy or research findings included.
- Low signal for APS readers; limited extracted content makes substantive analysis impossible.
Week of 3 February 2025
The Alan Turing Institute examines 'Humanity's Last Exam', a new benchmark designed to test frontier LLMs at expert level.
Key points
- Benchmark saturation is an emerging governance concern - when AI passes the hardest tests, evaluation frameworks need rethinking.
- Limited direct APS applicability from this blog post alone; useful background for capability-tracking teams.
Week of 27 January 2025
NIST's MEP blog series offers a beginner's guide to Industrial AI, with part two focusing on data quality considerations.
Key points
- Covers data pitfalls such as incomplete data, inadequate variation, and gaps - relevant to any agency deploying AI in operational contexts.
- Introductory-level content aimed at manufacturing; limited direct applicability to Australian federal governance contexts.
Week of 13 January 2025
Sherman and Eisenberg propose a nine-category AI risk taxonomy as a pre-deployment disclosure standard.
Key points
- The framework is applied to Claude, GPT APIs, Microsoft Copilot, GitHub Copilot, and Midjourney as worked examples.
- The taxonomy aims to bridge technical and non-technical stakeholders - useful for procurement and regulatory contexts.
A 2023 peer-reviewed taxonomy classifies algorithmic harms into five categories and 20 subcategories across micro, meso, and macro levels.
Key points
- MIT AI Risk Repository spotlights this as one of its indexed risk frameworks, making it more accessible to practitioners.
- Published in 2023 and now featured in a repository blog - substantive but not a new or urgent development for APS readers.
MIT AI Risk Repository was selected among 50 projects from 770 applications to present at the 2025 Paris AI Action Summit.
Key points
- The repository compiles over 1,000 AI risks from 56 frameworks into two structured taxonomies - causal and domain-based.
- The resource is publicly accessible and already adopted by governments and researchers globally, making it potentially useful for APS risk work.
Week of 30 December 2024
MIT AI Risk Repository adds 13 new frameworks in its December 2024 update, now covering over 1,000 AI risks from 56 sources.
Key points
- Newly added frameworks include NIST AI 600-1, China's AI Safety Governance Framework, and the UK Government Office for Science frontier AI report.
- Australian contributors are among the authoring jurisdictions; the repository commits to quarterly updates through 2025.
MIT AI Risk Repository has reached 90,000+ users since August 2024, used by governments and companies globally.
Key points
- A new AI Risk Index project launching Q1 2025 will evaluate how key actors respond to high-priority AI risks.
- Planned crosswalking of the repository's taxonomies against NIST AI RMF and EU AI Act is directly useful for APS risk practitioners.
A 2023 systematic review of 175 articles identifies nine categories of AI social impact, led by bias and discrimination.
Key points
- MIT AI Risk Repository spotlights this as one of ten risk frameworks informing its broader AI risk taxonomy.
- The paper is a 2021 conference proceedings item; MIT's blog summary adds limited new content beyond the original framework.
MIT AI Risk Repository spotlights a 2016 literature review categorising AI ethical risks along three axes.
Key points
- The framework uses PEST analysis to propose management strategies including ethics committees and AI security measures.
- The source paper is nearly a decade old; field has advanced significantly since its publication.
NIST and NHTSA researchers met to share approaches to automated vehicle testing and assessment methodologies.
Key points
- Focus was on virtual and physical AV testing, sensor robustness, and scenario simulation - not AI governance directly.
- Limited direct relevance to Australian federal agencies; included as background on US AV standards development.
NIST held its second stakeholder workshop on Digital Twins standards and infrastructure in January 2025.
Key points
- Workshop focused on interoperability barriers and sustainability across the Digital Twin lifecycle.
- Digital twins are adjacent to AI but this item is primarily a standards-process update with no direct APS angle.
Week of 23 December 2024
Annual AI year-in-review podcast covers model capabilities, economics, regulation, and geopolitics across 2024.
Key points
- Topics span frontier model economics, AGI timelines, DeepSeek, robotics, compute infrastructure, and industry consolidation.
- Audio-format roundup with no written analysis; low immediate actionability for APS readers despite broad coverage.
Week of 16 December 2024
A 2023 systematic review identifies six AGI risk categories, from unsafe goals to existential risks.
Key points
- The review finds AGI risk literature is dominated by philosophical discussion, with limited peer-reviewed or modelled analysis.
- Spotlighted by MIT AI Risk Repository as one of eight foundational frameworks - useful provenance context for APS risk work.
Week of 9 December 2024
Good Ancestors' December 2024 newsletter covers three distinct AI policy developments across Australia, Singapore, and Canada.
Key points
- Australia's Senate AI inquiry final report recommends dedicated whole-of-economy AI legislation with a risk-based approach.
- Singapore has enacted deepfake election content bans; Canada has announced a national AI Safety Institute with research partners.
Week of 25 November 2024
MIT AI Risk Repository summarises a four-class framework covering misuse, accident, structural, and agential AI risks.
Key points
- Expert survey data identifies monopolistic race dynamics, alignment failures, and power-seeking as highest-impact risks.
- A useful taxonomy for APS risk registers, though the framework targets advanced/AGI-level AI rather than current deployments.
Week of 18 November 2024
AI Now Institute report examines how OpenAI built its business model around AGI hype rather than revenue fundamentals.
Key points
- The analysis surfaces how AGI framing functions as a marketing and investor-pacification tool, not a technical milestone.
- Limited direct relevance to APS operational work; primarily useful as critical background on generative AI industry dynamics.
Week of 11 November 2024
A mathematician-AI researcher argues pure mathematics—topology, algebra, geometry—offers tools to deepen ML theory.
Key points
- The piece challenges the assumption that scaling alone is sufficient for AI progress, advocating theoretical grounding.
- Academic and technical in focus; limited direct relevance to APS governance or policy practitioners.
Week of 28 October 2024
Attorney-General's Department 2023–24 Annual Report covers performance and audited financials to 30 June 2024.
Key points
- No AI-specific content is indicated in the extracted text or publication metadata.
- Limited direct relevance to APS AI governance work - included for completeness only.
Week of 21 October 2024
AI Now paper argues commercial foundation models integrated into military targeting systems pose underappreciated national security risks.
Key points
- Systems like Gospel and Lavender, deployed in Gaza, illustrate risks of personal data exfiltration and adversarial exploitation in military AI.
- Recommendations focus on insulating military AI from commercial foundation models - not a direct APS procurement or governance mandate.