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AI governance, regulation, strategy, and practice developments from monitored sources.

Last updated 18 Jul 2026, 06:06 AM AEST
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primary source commentary 181 items · Page 8 of 8

Week of 16 June 2025

Alan Turing Institute – Blog(UK) 16 Jun 2025 58

Making generative AI trustworthy and reliable for adoption at scale

Alan Turing Institute researchers reflect on their role in the UK's Global AI Assurance Pilot.

Key points
  • The pilot is directly relevant to Australian assurance frameworks - AISI and DTA are developing comparable approaches.
  • Extracted text is minimal; full substance requires reading the source blog post directly.

Week of 2 June 2025

AI Now Institute – Publications(Global) 3 Jun 2025 48

Artificial Power: 2025 Landscape Report

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 7 April 2025

MIT AI Risk Repository – Blog(Global) 8 Apr 2025 68

Mapping Frameworks at the Intersection of AI Safety and Traditional Risk Management

MIT AI Risk Repository maps 11 frameworks bridging traditional risk management and AI safety, all published 2023 or later.

Key points
  • Frameworks span maturity models, probabilistic risk assessment, and cybersecurity adaptations useful for agency AI governance work.
  • UK DSIT's 'Emerging Processes for Frontier AI Safety' is among the 11 - a directly accessible government reference.

Week of 17 February 2025

Attorney-General's Dept – Publications(AU) 19 Feb 2025 38

Data Strategy 2025–2027

Attorney-General's Department has published its Data Strategy 2025–2027, covering four focus areas.

Key points
  • AI and machine learning are named as analytical tools to support evidence-based policy - but remain secondary to the data governance framing.
  • Limited direct AI governance content; this is primarily a data maturity and literacy strategy with AI as one thread.

Week of 27 January 2025

NIST – AI News (topic 2753736)(US) 1 Feb 2025 28

NIST Researcher Describes Data Considerations for Industrial Artificial Intelligence

NIST's MEP blog series offers a beginner's guide to Industrial AI, with part two focusing on data quality considerations.

Key points
  • Covers data pitfalls such as incomplete data, inadequate variation, and gaps - relevant to any agency deploying AI in operational contexts.
  • Introductory-level content aimed at manufacturing; limited direct applicability to Australian federal governance contexts.

Week of 30 September 2024

AI Now Institute – Publications(US) 1 Oct 2024 38

AI Now Associate Director Kate Brennan Testifies at the New York City Council Committee on Technology Hearing on the MyCity Portal

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.