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

Last updated 18 Jul 2026, 06:08 AM AEST
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primary source commentary 579 items · Page 24 of 24

Week of 1 July 2024

AI Now Institute – Publications(EU) 1 Jul 2024 42

Public Interest AI for Europe? Shaping Europe’s Nascent Industrial Policy

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 – Publications(Global) 25 Jun 2024 48

Safety and War: Safety and Security Assurance of Military AI Systems

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 – Publications(EU) 19 Apr 2024 38

AI Now co-ED Amba Kak’s Speech at the German Green Party’s Shaping AI Conference

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

AI Now Institute – Publications(Global) 14 Mar 2024 20

Power and Governance in the Age of AI

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.