Week of 30 December 2024
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.
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 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.
Week of 14 October 2024
AI Now Institute publishes a multi-author critique of Europe's AI industrial policy, challenging competitiveness and sovereignty framings.
Key points
- Essays cover public procurement, cloud infrastructure, trade policy, and open AI as levers for public-interest outcomes.
- Limited direct APS operational relevance; useful as a critical-lens counterpoint to mainstream AI industrial policy thinking.
Week of 7 October 2024
Good Ancestors' October 2024 newsletter covers three distinct AI governance developments across Australia, the US, and the UN.
Key points
- Australia's voluntary AI safety standards and mandatory guardrails consultation paper are the primary Australian thread.
- California's SB 1047 veto and UN Advisory Board recommendations round out the international coverage.
Week of 30 September 2024
MIT AI Risk Repository summarises a UN-focused ethical AI framework identifying 13 AI risk categories.
Key points
- The framework covers risks relevant to APS governance work: bias, transparency, manipulation, and exclusion.
- The underlying paper is from 2021; this is a secondary summary with limited new analytical value for APS readers.
AI Now Institute testified against NYC's MyCity portal, citing corporate capture and citizen surveillance risks.
Key points
- The case illustrates risks when public AI infrastructure embeds vendor data advantages and opaque governance.
- Limited direct APS applicability, but the digital wallet and behavioural tracking scenario is a useful cautionary case study.
Week of 23 September 2024
A scoping review identifies 378 normative issues across 19 topic areas in generative AI ethics literature.
Key points
- The taxonomy covers areas directly relevant to APS AI governance: fairness, hallucinations, transparency, evaluation, and alignment.
- The MIT AI Risk Repository context makes this a useful reference for agencies building AI risk registers or ethics frameworks.
Week of 16 September 2024
MIT AI Risk Repository summarises a survey identifying seven core safety risks in generative language models.
Key points
- Risk categories include toxic content, hallucination, privacy leakage, and malicious use - directly relevant to APS AI governance frameworks.
- Survey is from 2023 (arXiv:2302.09270); useful as a taxonomy reference but not cutting-edge given rapid field evolution.
Week of 9 September 2024
A 2023 academic framework clusters AI ethics and responsibility issues into six groups via systematic literature review.
Key points
- The six clusters map closely to risk categories already recognised in Australian AI governance frameworks and agency guidance.
- This is a summary of an existing academic paper - useful context but not new primary guidance for APS practitioners.
Google DeepMind's Head of Human-AI Interaction Research discusses HCI, accessibility, and generative AI in depth.
Key points
- Topics include AGI definitions, anthropomorphisation, consent for generative clones, and bidirectional human-AI alignment.
- Academic podcast interview - thought-provoking but limited direct applicability to APS governance or policy work.
The Gradient's issue 83 covers AI music streaming fraud, a new LLM search algorithm, and several AI news briefs.
Key points
- A legally binding Council of Europe AI treaty signed by the US, EU, UK, and others is briefly noted — Australia is not mentioned.
- Mixed-topic tech newsletter; no single item is developed in depth — low priority for focused APS reading.
Week of 2 September 2024
A module-oriented LLM risk taxonomy covering 12 risks and 44 sub-categories across input, model, toolchain, and output layers.
Key points
- Included in the MIT AI Risk Repository, making it a reference point for agencies surveying structured AI risk frameworks.
- Primarily an academic arXiv paper summarised for practitioners - useful as background reading rather than actionable guidance.
Podcast interview with ARIA Programme Director Davidad Dalrymple covers provably safe AI and formal verification approaches.
Key points
- ARIA's Safeguarded AI Programme explores formal methods and Open Agency Architecture as technical safety pathways.
- Limited direct APS operational relevance; useful for practitioners tracking frontier AI safety research directions.
Week of 26 August 2024
TASRA classifies AI risks into six types based on accountability: who acts, whether unified, and whether deliberate.
Key points
- The taxonomy covers diffuse responsibility, unintended scale, willful indifference, criminal misuse, and state weaponisation.
- This is a 2023 academic preprint summarised in 2024 - useful reference material, not a new regulatory development.
A multi-topic AI newsletter covering copyright lawsuits, a novel misuse-prevention technique, and AI governance vignettes.
Key points
- The SOPHON research introduces a framework to prevent pre-trained models being fine-tuned for harmful or restricted tasks.
- Primarily US-focused content with limited direct APS relevance; useful as a broad AI landscape signal.
Week of 5 August 2024
Good Ancestors' August 2024 newsletter covers deepfake legislation, US AI content bills, and regulatory sandboxes.
Key points
- Australia's Criminal Code Amendment (Deepfake Sexual Material) Bill 2024 has passed the Senate and is now in force.
- US legislative items are proposed only and not yet voted on; California's SB 1047 is flagged as a breaking development.
Week of 29 July 2024
AI Now Institute draws on FDA pharmaceutical regulation as a model for ex ante AI regulatory design.
Key points
- The report examines premarket scrutiny, regulatory functions, and industry capture risks - all live questions for Australian AI governance.
- Published mid-2024; the political climate the authors describe as hostile to premarket AI enforcement remains broadly unchanged.
Week of 8 July 2024
Good Ancestors' July 2024 newsletter covers three distinct AI policy developments across Australia and California.
Key points
- Two Australian items dominate: a joint federal-state-territory AI assurance framework and new deepfake criminalisation legislation.
- California's proposed $100M training-cost threshold for mandatory AI safety testing is the international item covered.
AI Now Institute testified to the US Senate that federal data privacy law is effectively AI regulation.
Key points
- Arguments centre on data minimisation, purpose limitation, and anti-monopoly checks on Big Tech AI development.
- US-focused advocacy testimony; limited direct applicability to Australian regulatory settings or APS practice.