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AI Governance

1083 summarised stories about AI Governance, each linking back to the original source. Browse all topics →

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Wednesday, 12 August 2026

CIOs and CTOs spent years lauding AI. Now, with costs rising, they're putting limits on how it's used

Fortune 43

CIOs and CTOs at companies including Samsara, Docusign, Yum Brands, Cigna, and Compass are tightening AI usage, budgets, and model access as AI spending rises and some tools fail to deliver expected value. Global AI spending is projected to reach $2.5 trillion this year, a 44% increase, prompting shifts toward cheaper models and tighter guardrails like narrower context to cut token use. Companies are retraining staff and enforcing per-group or per-engineer limits so costs are managed and spending is kept from scaling as fast as compute and tokens.

Some Claude users are mad that Anthropic’s new watermarks will catch them using it at their jobs, classes

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.

Twitch content has trained Amazon AI for years, but users can opt out now

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.

Amazon will train on Twitch streamers’ content by default, unless they opt out

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.

As AI safety concerns mount, three pioneers make the case for staying open

TechCrunch 2 months ago 44 ● 4 sources

Three top AI researchers argued at Ai4 that AI should stay open despite safety concerns, warning about who controls progress and access to models. Geoffrey Hinton said the “battle” against open-weight models is over because the barrier created by the cost of training foundation models has disappeared. They concluded that openness should be paired with regulation and a nuanced mix of open and closed approaches rather than an all-or-nothing stance.

AI giants are quiet on climate in sign of post-ESG Wall Street

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.

Norway Oil Fund CEO Says He’s More Nervous After Record Returns

Fortune 35

Norway’s sovereign wealth fund CEO Nicolai Tangen said the fund is more nervous after record first-half gains. The fund reported an all-time high gain of 1.4 trillion kroner ($150 billion) for the first half of the year. He pointed to AI valuations, geopolitics, and concentration risk as reasons to be more cautious, which signals tighter attention to portfolio dangers going forward.

OpenWALDO aims to blow the doors off proprietary AI training models

The Register 2 months ago 8 ● 2 sources

CIQ and Gregory Kurtzer launched OpenWALDO to collect and release a shared open-source AI training dataset with transparent origins and licenses. The dataset currently includes 167.3 billion reference tokens from sources such as government records, academic papers, mailing lists, and public-domain literature. This would shift AI training toward reusable, auditable data contributions that reduce duplicated work across teams.

Scaling AI agents with trustworthy data

MIT Technology Review 2 months ago 31 ● 4 sources

Organizations adopting agentic AI are running into ROI limits because legacy enterprise data systems and fragmented data access hinder agents that must act in real time. Surveyed executives say AI agents get access to an average of 45% of company data, dropping to 30% or less for data laggards. The result is a push to overhaul data access and governance—so more organizations can scale agents quickly and with higher trust in the decisions they make.

Podcast: Mark Zuckerberg’s 'Superintelligent' AI Future That No One Wants

404 Media 2 months ago 18 ● 5 sources

The podcast episode covers Mark Zuckerberg’s plan for Meta AI agents and other tech stories involving AI-driven claims and surveillance camera swaps. It also references Zuckerberg posting a 6,500-word essay about giving everyone AI superintelligence. Readers/listeners can access the subscribers-only bonus content by becoming a paid subscriber and using the provided feed and links.

Researchers Show How Meta's 'Pervert Glasses' Are Used to Harass Women

404 Media 2 months ago 37 ● 2 sources

Researchers analyzed hundreds of Instagram videos showing men using Meta Ray-Ban smart glasses to covertly film unsolicited public approaches to women that get posted as “pickup artist” content. The study compiled 350 videos from September 2023 through March 2026 and found a correlation between how covert the filming was and how severe the harassment was, with 93.3% of posts leaving comments open. The findings add evidence that Meta’s glasses-and-platform ecosystem enables harassment with a prolonged online “afterlife,” which pushes for stronger platform safeguards and moderation beyond relying on users’ responsibility.

Pay with confidence: How Solv Labs built verifiable, auditable agent payments on Amazon Bedrock AgentCore payments

Amazon Web Services 2 months ago 48 ● 3 sources

Solv Labs and ICME Labs described a workflow that routes Amazon Bedrock AgentCore payments through pre-authorization, privacy-preserving policy verification, Nitro Enclave attestation, per-transaction risk pricing, and on-chain settlement via Coinbase. Transactions complete in under four seconds end-to-end. The change is that each agent payment now produces a signed, independently verifiable audit record that can be checked by third parties without relying on operator assertions, and settlement is blocked if required governance decisions don’t occur.

Twitch streamers can now opt out from training Amazon’s AI

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.

Why we should all be worried about AI in elections

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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