Week of 6 July 2026
AI Now Institute research demonstrates a proof-of-concept exploit hijacking defensive AI agents built by Anthropic and OpenAI.
Key points
- The attack vector turns security-focused AI agents against their own users, enabling remote code execution.
- Directly relevant to APS agencies evaluating AI agents for cybersecurity or IT operations use cases.
Week of 8 June 2026
AI Now Institute fellow testified to US Congress on gig nursing platforms undermining worker protections and patient safety.
Key points
- AI's role in gig platform labour is a secondary implication - the primary subject is workforce and healthcare regulation.
- Limited direct relevance to Australian federal agencies; included for contextual awareness of AI-labour governance debates.
Week of 18 May 2026
AI Now Institute is launching a dedicated research portfolio examining AI deployment risks across US healthcare systems.
Key points
- Key concerns include patient safety failures, workforce displacement, regulatory gaps, and corporate consolidation - relevant to Australian health AI governance debates.
- Focus is US-specific; Australian health AI governance context differs, limiting direct applicability for APS readers.
Week of 20 April 2026
AI-powered gig nursing platforms use algorithmic scheduling and dynamic wage-setting to manage healthcare workers at scale across all US states.
Key points
- Platforms are lobbying in at least 17 US states to be reclassified as technology companies, not staffing agencies, to avoid existing regulation.
- Limited direct APS applicability, but the deregulation-via-reclassification pattern is a transferable cautionary signal for Australian AI governance.
Week of 30 March 2026
AI Now Institute publishes a US-focused toolkit for restricting hyperscale data center development at state and local level.
Key points
- Framing centres on community harms - water depletion, energy costs, air quality, and undelivered economic promises.
- Primarily a US advocacy and organising resource; limited direct applicability to Australian federal agencies.
Week of 12 January 2026
AI Now Institute publishes a series critically analysing the 2026 India AI Impact Summit and its governance discourse.
Key points
- Contributors examine how terms like sovereignty, democratisation, and accountability are used in AI policy debates.
- Limited direct relevance to APS practitioners; useful background on critical perspectives in global AI governance framing.
Week of 10 November 2025
AI industry energy demands are driving pressure to fast-track nuclear deployment, undermining established safety regulation.
Key points
- LLMs being proposed for nuclear licensing documents raise proliferation and cybersecurity risks with unsubstantiated efficiency claims.
- Limited direct APS relevance; Australia lacks operational nuclear power, though SMR policy interest is growing.
Week of 13 October 2025
AI Now Institute testified to Philadelphia City Council on AI policymaking, framing it as 'people vs. corporate power'.
Key points
- The testimony reflects a growing trend of civil society organisations shaping subnational AI governance in the US.
- Limited direct relevance to Australian federal agencies; useful as a signal of AI governance discourse only.
Week of 2 June 2025
AI Now Institute's 2025 annual report frames AI as a power concentration problem, not a technology problem.
Key points
- Report argues AI harms are structural and calls for regulatory intervention, antitrust action, and community organising.
- Primarily a US-oriented advocacy document; APS relevance is indirect but useful for understanding critical-AI discourse.
Week of 21 April 2025
AI Now Institute report argues industry-led AI safety frameworks are weakening established military and defence evaluation standards.
Key points
- Report draws parallels with Cold War-era nuclear governance frameworks, calling for democratic oversight of military AI deployment.
- Australian federal agencies are not the primary audience; relevance is indirect, through international AI safety governance discourse.
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.
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 30 September 2024
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 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
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.
Week of 1 July 2024
AI Now Institute launches a research program scrutinising Europe's emerging AI industrial policy and Big Tech dependencies.
Key points
- The piece warns that poorly designed industrial policy may entrench rather than challenge AI monopolies held by US and Chinese firms.
- Limited direct Australian policy relevance - useful context on global AI sovereignty debates Australia faces analogously.
Week of 24 June 2024
AI Now Institute argues military AI systems like Lavender and Gospel lack safety assurance, oversight, and accountability.
Key points
- The paper calls for safety engineering frameworks applied to military AI - directly relevant to defence AI governance debates.
- This is introductory framing for a future research series; substantive technical guidance is not yet published.
Week of 15 April 2024
AI Now Institute argues AI development is dominated by a handful of US and Chinese tech companies controlling core infrastructure.
Key points
- Speech advocates for public-interest AI industrial policy and rigorous EU AI Act implementation over market-led approaches.
- Limited direct APS relevance; a normative advocacy address to a European political audience, not a policy instrument or research finding.
Week of 11 March 2024
A small number of Big Tech firms control AI infrastructure, research incentives, and de facto standard-setting globally.
Key points
- Fragmented national regulation allows large AI firms to self-regulate and venue-shop, undermining effective governance.
- Item is a 2024 think-piece framing problems rather than offering operational guidance - signal value is contextual.