Ctrl+AI+Reg - 2 December 2025
Your shortcut to AI regulation, law and policy updates around the world.
AI Regulation Updates
In this issue:
Updates from Australia, Japan.
Opinion on Australia’s new guidance around AI-generated content transparency.
See more on my Global AI Regulation Tracker (English version | Chinese version)
Oceania
🇦🇺 [1 December 2025] Labor government rejects standalone AI legislation with plan that offers to help ‘unlock’ public and private data: It is reported that the Albanese government has opted against enacting standalone legislation for AI, instead unveiling a National AI Plan that emphasizes the economic benefits of AI and proposes unlocking extensive datasets from both private companies and the public sector to train AI models. The plan includes initiatives to support and reskill workers affected by AI, boost investment in data centers, and ensure the broad distribution of productivity gains across the economy. Additionally, the plan acknowledges challenges such as the significant consumption of water and power by data centers, the potential for AI-facilitated abuse targeting women, and unresolved issues regarding copyright protections for creators whose work may be utilized by large language models. The National AI Plan will be released on 2 December.
For live updates on the National AI Plan, see my Linkedin post: https://www.linkedin.com/posts/raymond-sun-64576a122_labor-rejects-standalone-ai-legislation-with-activity-7401250731598503936-4rv9?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB5eYRUBoSwNG4hAgwoQrm1xxhfHl1oEhBo
🇦🇺 [28 November 2025] Guidance on AI-generated content released: The National AI Centre has published guidance which provides Australian businesses with up‑to‑date best practice approaches to AI‑generated content transparency based on the latest research and international governance trends, specifically the mechanisms of labelling, watermarking and metadata recording. The guidance is voluntary and supports the “Guidance for AI Adoption: Implementation practices”.
Asia
🇯🇵 [1 December 2025] Japan seeks public input as it retools IP strategy for AI era, global standards push: The Cabinet Office of Japan’s Intellectual Property Strategy Headquarters has launched a public consultation to gather input for the upcoming “Intellectual Property Strategic Program 2026.” This national effort aims to critically review the current IP framework and solicit opinions on new policy measures required for an economy rapidly being shaped by digital technology and data, particularly focusing on the challenges and opportunities presented by the AI era (including generative AI, copyright, and patent inventorship) and the push for stronger global standardization. The public comment period for this strategic retooling is set to run until 7 January 2026, as the government seeks to maximize intellectual capital and foster a new cycle of innovation.
Previous update
Opinion
See my LinkedIn post about Australia’s new guidance around AI-generated content transparency.
Useful guidance from the National AI Centre on AI transparency...but I’ve got three practical questions.
An important update for the Australian AI industry - the NAIC has released practice guidance titled “Being clear about AI-generated content”. It’s a handy (non-binding) resource that documents current industry thinking around labelling, watermarking and metadata recording around AI generated content: https://www.industry.gov.au/publications/being-clear-about-ai-generated-content
FYI the guidance’s scope does not cover how to:
- tell users when they are engaging with AI systems
- tell users when they may be impacted by AI‑enabled decisions
- tell users when content is human-generated
- manage copyright or other IP implications of AI‑generated content
- use AI‑generated content detection mechanisms.
These are other massive issues in the field of AI transparency, so TBC when further guidance will come out.
I don’t propose to summarise the guidance, but rather pose some interesting thought bubbles.
1️⃣ The “honesty penalty” risk. The fact that the guidance is voluntary got me thinking about this potential dilemma - i.e. by voluntarily labelling their content as AI generated/enhanced, do honest actors risk inadvertently flagging their content as “fake” or “cheap” to the world? I can imagine this dilemma being trickier in the ‘low legal risk’ contexts where an actor might think the ‘quality-perception’ impact of labelling outweighs legal risk of not labelling. Do we risk creating a feed where honest content looks “fake” and unlabelled fake content passes as “real”? Indeed, it’s a controversial logic that I’m putting forth here, so keen to hear thoughts.
2️⃣ An “AI-enhanced” loophole? The guide introduces a useful spectrum: AI-assisted, AI-enhanced, and fully AI-generated. The “AI-enhanced” category seems to be the most ‘grey’ out of the three. It includes modifying content or removing specific details (like logos). Unlike the EU AI Act, which has strict binary triggers, the Australian guidance relies on actors to self-assess whether their editing changes the “meaning” of the content. It’s debatable, but could this subjectivity create a space where significant manipulation can fly under the radar as mere “polishing”?
3️⃣ The guide advises businesses to include AI-origination in the metadata of content and maintain secure metadata logs. Asking the experts here, but don’t major social platforms typically strip out metadata upon upload to compress files? If so, how does that reconcile with the above guidance? I’ve been trying to wrap my head around this for a while.
See also my other special edition articles
Want more?
Global AI Regulation Tracker (an interactive world map that tracks AI regulations around the world).
Note2Map (a platform to build and launch your own interactive world map tracker).
AI Governance Library (a library of AI governance templates, policies and frameworks).
