Week of 15 December 2025
Finance Secretary announces AIDE - a new whole-of-APS function to drive coordinated, scalable AI adoption across government.
Key points
- GovAI platform provides APS-only secure AI collaboration and training, with GovAI Chat generative AI capability planned for 2026.
- The announcement signals a formal shift from agency-level pilots to system-wide, Finance-led AI uplift and enablement.
NIST has released a preliminary draft Cyber AI Profile (NISTIR 8596) for 45-day public comment, closing 30 January 2026.
Key points
- The profile maps cybersecurity guidance across three areas: securing AI systems, AI-enabled defence, and AI-enabled attack resilience.
- Still in preliminary draft stage; a refined initial public draft is planned for 2026, limiting immediate applicability for Australian agencies.
NIST has released a preliminary draft Cybersecurity Framework Profile for AI (NIST IR 8596) open for public comment until 30 January 2026.
Key points
- The profile addresses three focus areas: securing AI system components, AI-enabled cyber defence, and thwarting AI-enabled attacks.
- A companion workshop is scheduled for 14 January 2026; this is a US standard with no immediate Australian compliance obligation.
A 2022 academic framework organises AI/ML risks into data-level and model-level categories with root causes and outcomes.
Key points
- The framework targets high-stakes decision settings like healthcare and transport - domains relevant to APS service delivery.
- This is a 2022 paper spotlighted by MIT's AI Risk Repository blog; it is not new primary research or Australian guidance.
Major US insurers including AIG are seeking to exclude AI-related risks from coverage, per OECD AI analysis.
Key points
- OECD argues insurers should instead incentivise sound AI risk management rather than exclude AI liabilities.
- Only a truncated extract is available; full argument and any policy recommendations are behind the link.
Australia ranked 5th globally in the World Bank's 2025 GovTech Maturity Index with a score of 98.5%.
Key points
- AI governance is cited as a contributing factor - the APS AI Plan and AI policy are listed among enabling initiatives.
- This is primarily a digital transformation milestone; AI is one thread among several, not the central subject.
The Alan Turing Institute's FRIDGE project enables secure research using sensitive data on AI supercomputers.
Key points
- Addresses a genuine governance challenge—safely accessing frontier compute for sensitive-data research—relevant to Australian research and public sector contexts.
- Extracted text is minimal; substantive detail of the approach is not available from this item alone.
University of Birmingham and Alan Turing Institute won £610,000 to develop AI space-threat detection tools.
Key points
- The project targets national security applications - a domain of growing interest to Australian defence and intelligence agencies.
- Limited direct relevance to APS AI governance practitioners; more pertinent to defence science and space policy communities.
Department of Finance sponsored GovHack 2025, setting challenges around government services and regulatory simplification.
Key points
- Winning teams developed AI-powered platforms to improve service navigation and small business compliance.
- Winners are invited to showcase at AI CoLab next year - limited direct governance or policy signal for APS practitioners.
NIST CAISI is hiring an AI Research Scientist focused on evaluation methods and trustworthy AI measurement.
Key points
- The role signals continued US investment in rigorous AI evaluation infrastructure relevant to international standards work.
- Job postings carry low signal for APS readers; included for context on CAISI's capability build-out only.
NIST has released SSDF Version 1.2 for public comment, covering secure software development practices.
Key points
- The framework addresses software vulnerability mitigation across development lifecycle models - not specific to AI.
- Limited direct relevance to APS AI governance work; this is a general secure software development standard.
NIST has finalised cybersecurity guidelines for smart speaker use in home telehealth and hospital-at-home programs.
Key points
- Guidelines draw on NIST CSF 2.0, Privacy Framework, and IoT baseline standards - not AI governance frameworks specifically.
- Limited direct relevance to APS AI governance work; this is primarily a health-sector IoT/cybersecurity item.
NIST NCCoE has finalised a cybersecurity white paper on telehealth smart home integration risks.
Key points
- The paper focuses on Hospital-at-Home IoT device risks, not AI governance or algorithmic systems.
- Limited direct relevance to APS AI practitioners - this is a cybersecurity and privacy item, not an AI item.
Week of 8 December 2025
Good Ancestors' December 2025 newsletter covers Australia's National AI Plan, AISI announcement, and multiple international developments.
Key points
- The Australian AISI ($30m, early 2026 start) and National AI Plan are the headline items, with APS AI Plan also featured.
- Newsletter spans AI espionage, model releases, deepfake legislation, CSIRO restructure, and EU AI Act delays across 15+ distinct items.
DTA's new whole-of-government Cloud Policy takes effect 1 July 2026 for non-corporate Commonwealth entities.
Key points
- Policy explicitly positions cloud infrastructure as the foundation for AI adoption across the APS.
- Five core requirements cover cloud prioritisation, security, cost transparency, interoperability, and workforce skills.
CAISI evaluated Kimi K2 Thinking, finding it the most capable PRC-origin AI model at release but still behind leading US models.
Key points
- The evaluation benchmarks cyber, software engineering, scientific knowledge, and mathematical reasoning - directly relevant to APS risk assessments of open-weight models.
- Kimi K2 Thinking is heavily censored in Chinese but relatively uncensored in English, Spanish, and Arabic - a notable asymmetry.
DTA hosted OECD E-Leaders Day 2, covering human-centred design, digital identity, AI measurement, and digital investment.
Key points
- Only a quarter of OECD countries conduct thorough AI impact assessments; Australia's Investment Oversight Framework was highlighted as a comparative example.
- AI measurement is one thread among several - the item is broader digital government practice than AI-specific governance.
Import AI's issue 437 covers four distinct topics: co-improving AI, AI labelling policy complexity, SimWorld simulator, and DeepMind's SIMA 2 agent.
Key points
- The AI labelling section directly illustrates why simple-sounding AI policy can impose significant compliance burdens on industry.
- Coverage is research-forward and internationally focused; limited direct APS operational relevance but useful as a frontier signal.
Week of 1 December 2025
DTA has released an updated AI policy, a new AI Impact Assessment Tool, and new AI procurement guidance, effective 15 December 2025.
Key points
- The updated Policy mandates AI impact assessments for all use cases and requires agencies to develop and communicate a strategic position on AI adoption.
- An AI Review Committee for high-risk use cases across the APS is being finalised, with terms of reference expected in Q1 2026.
The National AI Centre released practical guidance on labelling, watermarking, and metadata for AI-generated content.
Key points
- Guidance targets businesses but applies equally to APS agencies producing AI-assisted communications and official documents.
- Framed around regulatory risk reduction and trust-building, aligned with responsible AI use principles in government.
MIT AI Risk Repository Version 4 now includes over 1,700 coded risks drawn from 74 published frameworks.
Key points
- Nine newly added frameworks span government reports, peer-reviewed papers, and industry sources, including a UK DSIT frontier AI paper.
- A structured, living reference for AI risk taxonomy - useful for APS governance and risk assessment work.
Alan Turing Institute research identifies new AI risks specific to financial sector institutions.
Key points
- Financial sector AI risk findings are relevant to Australian agencies managing financial data or payment systems.
- Extracted text is truncated - full research scope and findings are not assessable from available content.
Alan Turing Institute researchers have developed an AI model enabling real-time maritime surveillance onboard satellites.
Key points
- Onboard processing removes the need to downlink raw imagery, reducing latency and bandwidth demands significantly.
- Limited direct relevance to APS governance practice; primarily a technical research item from a UK institution.
Week of 24 November 2025
Import AI #436 covers four distinct topics: AI agent training infrastructure, a 2GW datacenter in Saudi Arabia, regulation critique, and a RAND paper on countering rogue AI.
Key points
- The RAND analysis on countering a rogue superintelligence offers sobering conclusions relevant to AI safety policy discussions.
- The regulation critique reflects a pro-innovation perspective on regulatory burden - a counterpoint worth noting in AI governance debates.
Google DeepMind philosopher Iason Gabriel discusses value alignment, distributive justice, and ethics of advanced AI assistants.
Key points
- Topics include aligning LLMs with democratic norms, AGI social power dynamics, and the challenge of AI value alignment at scale.
- A podcast interview format - conceptually rich but not directly actionable for APS practitioners without further engagement.