Item Catalogue

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

Last updated 21 Sep 2026, 06:27 AM AEST
Clear
Saved (0)
Filters 1 active
Jurisdiction
Category
Source (1)

Date range

primary source commentary 579 items · Page 24 of 24

Week of 27 April 2026

Let's Data Science – AI Governance(US) 29 Apr 2026 32

China Appears at Capitol Hill AI Governance Event

A Capitol Hill AI governance event hosted by Sen. Sanders included two Chinese academics linked to Beijing's AI governance bodies.

Key points
  • The event reportedly promoted China's 'Global Artificial Intelligence Governance Initiative' amid US-China AI tensions.
  • Primary source is FrontPageMag, an opinion-oriented outlet; the story lacks corroboration from mainstream or government sources.
Let's Data Science – AI Governance(US) 29 Apr 2026 32

FIS Urges Proof-Based Governance for Agentic Commerce

FIS argues AI governance in agentic commerce most often fails at the point of system integration, not model design.

Key points
  • The piece calls for governance embedded in payment authorisation and authentication flows, not added post-deployment.
  • This is a fintech-sector perspective with limited direct APS applicability; context only for agencies exploring agentic procurement.
Let's Data Science – AI Governance(US) 30 Apr 2026 30

Rosen Confronts Hegseth Over Anthropic Security Label

Senator Rosen confronted Defense Secretary Hegseth over labelling Anthropic a potential national security risk.

Key points
  • The item is a short video report with no on-the-record statement from Hegseth or Anthropic - thin sourcing.
  • No formal policy action has resulted; this is a political exchange, not a regulatory or procurement decision.
Let's Data Science – AI Governance(US) 3 May 2026 28

Musk and Altman Face Federal Civil Trial

Elon Musk's federal civil trial against Sam Altman and OpenAI entered its second week in Oakland, California.

Key points
  • The case centres on OpenAI's nonprofit-to-for-profit transition and internal governance choices - not AI regulation directly.
  • Limited direct relevance to Australian federal agencies; context only for those tracking AI sector governance norms.