913 summarised stories about AI Policy, each linking back to the original source. Browse all topics →
TechCrunch 2 months ago 38 ● 7 sources
Some Claude users are upset that Anthropic added invisible watermarks to Claude outputs to mark them as AI-generated. The rollout is meant to comply with the EU AI Act Transparency Code. As a result, Reddit users debate whether the system is ethical and whether they can still use Claude without being detected.
Ars Technica 2 months ago 41 ● 3 sources
Twitch added an opt-out setting for Amazon’s use of Twitch channel content to train Amazon generative AI content models. The opt-out was introduced more than two years after an Amazon executive confirmed Amazon was using Twitch content for AI training. Users who opt out prevent Twitch streams, VODs, clips, stream chats, and channel images/text from being used for future training of Amazon models.
TechCrunch 2 months ago 31 ● 3 sources
Twitch will use streamers’ channel content by default to train generative AI models for Amazon unless creators opt out. The opt-out is implemented via a channel-settings path that includes a toggle under the “training for generative AI” option. Creators must actively change that setting to prevent their recordings from being used, and the rollout has triggered rapid backlash and confusion about whether content may already have been used.
404 Media 2 months ago 4 ● 3 sources
Twitch will use streamers’ channel content to train Amazon’s generative AI models unless users opt out in settings. The opt-out toggle appears in the bottom of users’ security settings and defaults to being allowed. Users who disable it will prevent their streams, VODs, clips, stream chats, and channel text/images from being used in future Amazon model training, though some AI features like AutoMod and captioning may still use data without training.
Fortune 51
OpenAI and Anthropic have not disclosed greenhouse gas emissions, net-zero targets, or sustainability reports as they prepare for IPOs while investors and US regulators have largely stepped back on climate scrutiny. California’s SB253, requiring companies with more than $1 billion in revenue to report Scope 1 and 2 emissions starting in November, is pushing them to build emissions accounting ahead of deadlines. Climate disclosure is shifting from voluntary ESG pressure to compliance-oriented reporting, with uncertainty remaining around how to measure training emissions and whether some emissions will be reported later as Scope 3.
Ars Technica 2 months ago 31 ● 7 sources
Booksellers suspect AI firms are buying rare books and then destroying the physical copies after removing pages to scan them for training AI models. The practice is described as involving wood chippers and cropping, scanning, and trashing torn-out pages. As a result, some physical copies may be lost permanently beyond what has been reported so far.
The Verge 2 months ago 44 ● 3 sources
Twitch added an opt-out option so Twitch users can stop their content from being used to train Amazon generative AI models. The opt-out covers future training and includes streams, VODs, clips, stream chats, and channel pictures and text. Captions and safety tools still work after opting out, and when you chat on someone else’s stream their opt-out settings control whether that chat is used for training.
The Algorithmic Bridge 2 months ago 6
Substack partnered with Pangram, an AI writing detection company, to reduce AI-written content on the platform and discourage AI outsourcing of writing.
Rest of World 2 months ago 21
The article argues that the UN’s Global Dialogue on AI Governance largely overlooked how AI affects elections, even though elections underpin enforceable democratic rights. It cites India’s 2015 voter-roll program that deleted about 5.5 million voters before the Supreme Court halted it, alongside a claimed matching algorithm failure rate as high as 93%. It calls for elections to get a dedicated governance track—making data control, auditing, and accountability requirements central—to ensure AI doesn’t shift electoral authority and exclude voters.
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24 October 2026
AI’s dominant theme today is accountability at scale: as agents get more autonomous, companies are doubling down on verification, sandboxing, and evidence—because “it worked once” is no longer good enough. Anthropic reports its merged code changes jumped from about 2,500 per day in May to over 30,000 by September as it rolled out agentic “software factory” workflows, but the growth depends on building a fast, high-fidelity verification “sensor” so agents don’t outrun what tests can actually validate. In parallel, Anthropic open-sourced its @anthropic-ai/sandbox-runtime, an OS-level sandbox (no containers) that reportedly cut internal Claude Code permission prompts by 84%—a practical nod to how real agent deployments are constrained by risk controls, not ambition.
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