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.
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.
MIT researcher Jacob Andreas discusses language grounding and world models in AI systems.
Key points
- Research focuses on computational foundations of language learning and human-guided AI - relevant to LLM evaluation debates.
- Extracted text is a podcast stub with no substantive content - actual interview detail is unavailable.
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.
Podcast interview with journalist Evan Ratliff exploring his AI voice clone experiment for Shell Game.
Key points
- Discussion touches on ethical boundaries, societal impacts, and journalism's future with voice AI.
- Limited direct relevance to APS AI governance - included for context on public discourse around voice agents.
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.
LLM benchmarks like MMLU and HumanEval may not reflect real user experience or collaborative utility.
Key points
- The piece argues current evaluation methods are non-interactive and ill-suited for human-AI collaboration models.
- Academic opinion piece from a Harvard PhD candidate - limited direct policy or APS operational relevance.
A Gradient Substack mini-update covers an international AI safety treaty and a technical codec development.
Key points
- The international AI safety treaty angle may be relevant to Australian AI governance and AISI positioning.
- Extracted text is paywalled - substantive content is not accessible for analysis.
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.
APSC Commissioner finds 12 individuals breached the APS Code of Conduct 97 times in connection with Robodebt.
Key points
- Two former Secretaries, Campbell and Leon, named publicly - a rare exercise of discretion under s72A of the Public Service Act.
- Limited direct AI relevance; Robodebt's automated debt-raising mechanism is not the subject here - conduct and accountability are.
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 19 August 2024
A podcast interview with a Stanford cognitive scientist on human use of physical representations for sensemaking.
Key points
- AI is tangential - the lab uses AI methods but the focus is cognitive science and psychology.
- No direct relevance to APS AI governance, strategy, or policy work.
Week of 12 August 2024
A podcast interview with philosopher L.M. Sacasas on broad questions about technology and society.
Key points
- Covers philosophical themes - human embodiment, skills outsourcing, technological determinism - not AI governance.
- No direct relevance to Australian federal AI policy, governance, or APS practice.
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.