Item Catalogue
AI governance, regulation, strategy, and practice developments from monitored sources.
- Week of 19 January 2026
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New guidance will help the UK regulate AI effectively and responsibly
- The Alan Turing Institute released a Framework and Self-Assessment Tool to guide UK AI regulation.
- The tool targets regulators rather than regulated entities - a relatively uncommon focus in AI governance tooling.
- Extracted text is truncated; full substance of the framework's scope and methodology is not available for assessment.
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2025 in AI, with Nathan Benaich
- Annual AI roundup covers 2025 progress in reasoning models, compute infrastructure, regulation, and sovereign AI.
- Sovereign AI discussion is directly relevant to Australian AI strategy debates around compute, data, and talent.
- Podcast format with VC framing limits direct APS applicability - useful for horizon scanning, not operational guidance.
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Import AI 441: My agents are working. Are yours?
- An Anthropic researcher describes daily use of AI agents completing multi-day research tasks autonomously while he sleeps or hikes.
- Anti-AI activists have released 'Poison Fountain', a tool designed to corrupt AI training data via web crawlers.
- Eric Drexler's new paper frames AI governance around institutions directing many AI services, not singular systems.
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AI forecasting initiative set to strengthen climate resilience and food security in West Africa
- Alan Turing Institute announces an AI-driven climate and food security forecasting initiative for West Africa.
- Applies frontier AI to humanitarian and agricultural forecasting - a model potentially relevant to Australian regional engagement.
- Limited extracted text; full scope and methodology unclear from available content.
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Now Available: NIST NCCoE Project Portfolio
- NIST's NCCoE has released its inaugural Project Portfolio covering active cybersecurity research priorities.
- The portfolio is US-focused cybersecurity infrastructure work; AI is not the primary subject of this announcement.
- Limited direct relevance to Australian federal AI governance work - this is primarily a US cybersecurity event notice.
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Is an under-16 social media ban the right course?
- Oxford Internet Institute analysis examines Australia's under-16 social media ban, noting 4.7 million accounts closed since December 2025.
- The item is primarily about online safety and platform regulation, not AI or algorithmic systems.
- Limited direct relevance to APS AI governance practitioners - this is an online safety policy item.
- Week of 12 January 2026
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CAISI Issues Request for Information About Securing AI Agent Systems
- NIST's CAISI is seeking public input on securing AI agent systems, with a comment period closing 9 March 2026.
- The RFI targets risks unique to agentic AI: prompt injection, data poisoning, specification gaming, and misaligned autonomous action.
- Responses will inform future voluntary guidelines - a likely reference point for Australian AI governance frameworks.
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Cyber AI Workshop #2
- NIST NCCoE is developing a Cybersecurity Framework Profile specifically for AI systems, open for public comment until 30 January 2026.
- The Cyber AI Profile aims to help organisations prioritise cybersecurity risks from AI adoption - relevant to Australian agency risk frameworks.
- This is an event announcement for a past workshop; the substantive output is the draft Profile itself, not the event.
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Import AI 440: Red queen AI; AI regulating AI; o-ring automation
- Sakana AI research shows LLM-based agents evolving adversarially outperform static approaches - with cybersecurity implications.
- Researchers propose 'automatability triggers': regulations that only activate once automated AI compliance tools exist.
- Both items are research-stage; no immediate APS action required, but the regulatory design concept is worth tracking.
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Reframing Impact: AI Summit 2026
- AI Now Institute launches a critical essay series examining governance concepts raised at the 2026 India AI Impact Summit.
- The series questions whether terms like 'democratisation', 'sovereignty', and 'accountability' are being co-opted or diluted in global AI discourse.
- Limited direct operational relevance for APS practitioners; useful as horizon-scanning for global AI governance framing debates.
- Week of 5 January 2026
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AI Policy Update: Strengthening responsible use across government
- DTA's updated Policy for the responsible use of AI in government took effect 15 December 2025, with new mandatory requirements.
- Agencies must now maintain an internal AI use case register, assign accountable owners, and complete AI impact assessments before deployment.
- Mandatory foundational AI training for all APS staff is introduced; first new requirement begins 15 June 2026.
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AI Policy and Governance Newsletter — January 2026
- Australia's AISI is recruiting its founding team, with roles closing 18 January and $30 million allocated over four years.
- The Productivity Commission recommends AI-specific regulation only as a last resort; ACCC warns agentic AI strains consumer protections.
- MYEFO reveals $166 million for GovAI Chat, a whole-of-government AI assistant for the APS.
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Import AI 439: AI kernels; decentralized training; and universal representations
- Meta's KernelEvolve uses LLMs to auto-generate optimised AI kernels, cutting development time from weeks to hours.
- Epoch AI analysis shows decentralised AI training compute growing 20x per year, with major governance implications for who controls frontier AI.
- Both developments are primarily of academic and technical interest; limited direct APS operational relevance at this stage.
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Change can’t wait: Creating a sustainable world through data science and AI
- The Alan Turing Institute advocates for AI and data science as tools to address sustainability challenges.
- Extracted text is too thin to assess specific findings, methods, or governance implications.
- Limited direct relevance to APS readers - blog framing with no substantive content available.
- Week of 22 December 2025
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Import AI 438: Silent sirens, flashing for us all
- Stanford, CMU, and Gray Swan AI research shows AI agents with scaffolding can match skilled human cybersecurity professionals.
- The ARTEMIS scaffold is specifically designed to elicit latent cyber capabilities from frontier LLMs, revealing a capability overhang.
- The newsletter's reflective essay on AI illegibility is editorial commentary, not primary research or policy guidance.
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Introducing v0.5 of the AI Safety Benchmark from MLCommons
- MLCommons AI Safety Benchmark v0.5 defines 13 hazard categories for evaluating chat-tuned language models.
- The benchmark provides practical testing prompts and ModelBench tooling for evaluating AI systems against safety criteria.
- V0.5 has been superseded by V1.0 (AILuminate, February 2025); this item summarises an older version for context.
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An Overview of Catastrophic AI Risks
- MIT AI Risk Repository spotlights a 2023 framework categorising catastrophic AI risks into four proximate causes.
- The four categories - malicious use, AI race dynamics, organisational accidents, and rogue AI - offer a structured risk taxonomy.
- This is a blog summary of a 2023 paper; substantive content is not new, though the Repository aggregation adds reference value.
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NIST Launches Centers for AI in Manufacturing and Critical Infrastructure
- NIST invests $20 million via MITRE to establish two AI centres focused on manufacturing and critical infrastructure cybersecurity.
- Centres align with the US AI Action Plan and expand NIST's existing CAISI frontier model evaluation program.
- Limited direct relevance to Australian agencies; useful as context for US AI industrial strategy and public-private partnership models.
- Week of 15 December 2025
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Fri 19 Dec 2025 Establishing Chief AI Officers for the APS Government Finance (Department), Finance (Portfolio)
- The APS AI Plan mandates all agencies appoint a Chief AI Officer (CAIO) from existing senior leadership by July 2026.
- CAIOs are distinct from AI Accountable Officials - they lead transformation and cultural change, not just governance.
- A new AI Delivery and Enablement (AIDE) function will coordinate CAIOs across the APS.
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Thu 18 Dec 2025 AIDE and GovAI: moving from experimentation to impact across the APS Government Finance (Department)
- Finance Secretary announces AIDE, a new whole-of-APS function to drive coordinated, scalable AI adoption across government.
- GovAI Chat, a secure generative AI platform for all APS staff, is planned for rollout in 2026.
- This signals a formal shift from agency-level AI experimentation to system-wide, Finance-led AI enablement.
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Draft NIST Guidelines Rethink Cybersecurity for the AI Era
- NIST has released a preliminary draft Cyber AI Profile (NISTIR 8596) for 45-day public comment until 30 January 2026.
- The profile maps cybersecurity risk across three areas: securing AI systems, AI-enabled defence, and AI-enabled attack resilience.
- Public comment closes January 2026; an initial public draft and AI RMF mappings are planned for later in 2026.
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Comment & Save the Date Now! NIST Cyber AI Profile Preliminary Draft & Workshop
- NIST has released a preliminary draft Cyber AI Profile (NIST IR 8596) open for public comment until 30 January 2026.
- The profile maps AI cybersecurity risks to three focus areas: securing AI components, AI-enabled defence, and thwarting AI-enabled attacks.
- A companion workshop on 14 January 2026 will also cover SP 800-53 Control Overlays for Securing AI Systems (COSAiS).
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Towards Risk-Aware Artificial Intelligence and Machine Learning Systems: An Overview
- A 2022 academic framework categorises AI/ML risks into data-level and model-level risk types.
- The framework targets high-stakes decision settings like healthcare and transport - directly relevant to APS use cases.
- This is a spotlight of a three-year-old paper, not new guidance; practical application requires further translation work.
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Why insurance companies should encourage solid AI risk management instead of excluding it
- Major US insurers are seeking regulatory permission to exclude AI-related risks from coverage.
- OECD argues insurers should incentivise good AI risk management rather than exclude AI risks entirely.
- Only an excerpt is available - full argument and any policy recommendations are not visible here.
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How we’re enabling research with sensitive data on AI supercomputers
- The Alan Turing Institute's FRIDGE project enables sensitive data research on AI supercomputing infrastructure.
- Addresses a recognised gap: safely combining frontier AI compute with privacy-sensitive research datasets.
- Limited extracted content - only a subtitle is available, making substantive assessment difficult.