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🇺🇸Google’s Gemini AI Caught in Copyright Controversy Google’s new Gemini 2.0 Flash model has been found capable of removing watermarks from copyrighted images, including those from Getty Images and other stock media providers. Unlike competing models like OpenAI’s GPT-4o and Anthropic’s Claude, which refuse to alter watermarked images, Gemini 2.0 Flash not only removes them but also reconstructs the missing portions—raising serious copyright concerns. While Google labels the feature as “experimental” and “not for production use,” its lack of built-in safeguards could provoke legal challenges. Under U.S. copyright law, removing a watermark without permission is generally illegal. As AI models gain more advanced image manipulation capabilities, pressure on tech companies to implement stricter guardrails will only increase. #AI#Copyright#AIGovernance#Ethics#GoogleGemini

🇬🇧Musicians Fight AI Copyright Changes in Silence Over 1,000 musicians, including Kate Bush and Cat Stevens, have released a silent album to oppose the UK government’s proposed copyright changes, which could allow AI companies to train on creative works without permission. The 12-track album, titled "Is This What We Want?", spells out a clear message: “The British government must not legalise music theft to benefit AI companies.” Artists argue that the proposal reverses fundamental copyright principles, effectively handing their life’s work to AI developers for free. Figures like Elton John, Paul McCartney, and Andrew Lloyd Webber have joined the opposition, warning that weakening copyright laws will undermine the UK’s creative industries. With public consultation closing, the battle over AI and intellectual property is far from over. #AI#Copyright#Ethics

🇺🇸Trump Orders Creation of Unified Federal AI Platform The new executive order directing the U.S. Department of Energy to build a unified AI platform marks a material shift in how a nation-state organizes its scientific infrastructure. By coordinating 17 federal research facilities and training models on decades of protected government datasets, the administration is positioning AI not as a tool, but as a strategic lever to compress discovery cycles in biotech, energy, chemistry, and engineering from years to days. What stands out is the scale of institutional alignment. The White House frames this initiative as the largest mobilization of research assets since the Apollo program, signaling that AI has formally entered the category of “national mission technologies.” As federal AI agents begin automating experiments and hypothesis testing, the precedent for public–private AI collaboration will expandь reshaping expectations for data governance, model accountability, and the ethical boundaries of state-backed scientific acceleration. #AI#AIGovernance

🇺🇸White House's Public Health Report Contains Fake Citations A White House endorsed public health report led by HHS Secretary Robert F. Kennedy Jr. has come under fire after journalists uncovered multiple non-existent citations and bibliographic errorsь many possibly generated by AI. Researchers listed as authors of referenced studies have disavowed the existence of those works. Others claim their real studies were misrepresented. Despite branding the report as “radically transparent,” officials dismissed the issues as “formatting errors.” An updated version has since replaced fake sources, but the White House and HHS declined to say whether AI was used to generate content. #AI#AIGovernance

🇻🇬AI Governance Lessons from the Australian Tax Office The Australian Auditor-General’s report on AI governance at the ATO goes beyond tax administration—it sets a benchmark for AI risk assessment and compliance across industries. The audit examines how the ATO evaluates AI risks, ensures readiness, and builds governance frameworks for deployment and monitoring. For AI Officers and compliance teams, this report offers a practical guide to aligning AI adoption with accountability and oversight. As AI continues to integrate into critical systems, structured governance is no longer optional—it’s essential. #AI#AIGovernance

🇬🇧UK Data Bill Stalls Over AI Copyright Clash The UK’s proposed Data (Use and Access) Bill has hit a critical impasse as the House of Lords pushes back against provisions that would allow AI developers to train on copyrighted material without disclosing their datasets. A Lords amendment would require transparency about training data — a move the government resists. The legislation now enters a high-stakes “ping-pong” phase between parliamentary chambers, risking collapse if consensus is not reached. This standoff is more than political choreography — it exposes the growing fracture between innovation policy and cultural rights. As the UK tries to position itself as an AI leader, lawmakers must now choose: enable opaque AI development or embed enforceable protections for creators. #AI#Copyright

🇬🇧The Tony Blair Institute Released a Report on intersection of Arts and AI The Tony Blair Institute (TBI) issued a report ‘Rebooting Copyright: How the UK Can Be a Global Leader in the Arts and AI’. The report emphasises that countries that “embrace change and harness the power of artificial intelligence in creative ways will set the technical, aesthetic, and regulatory standards for others to follow.” The authors think that “bold policy solutions are needed to provide all parties with legal clarity and unlock investments that spur innovation, job creation, and economic growth.” The TBI proposes that the solution lies not in clinging to outdated copyright laws but in allowing them to “co-evolve with technological change”. The report also delves into the disagreement between rights holders and developers on copyright, the wider implications of copyright policy, and the serious hurdles the UK’s text and data mining proposal faces. #AI#Copyright

🇺🇸Federal Judge Rejects UMG’s Injunction Against Anthropic A U.S. federal judge denied Universal Music Group’s request to block Anthropic from using song lyrics to train its AI model, Claude, citing a lack of “irreparable harm.” This decision is a setback for music publishers, who argue that Anthropic has infringed on lyrics from at least 500 songs without permission. The broader lawsuit, filed by UMG, Concord, and ABKCO, is still ongoing. While UMG remains confident in its case, Anthropic welcomed the court’s decision, calling the injunction request “disruptive and amorphous.” This ruling highlights the ongoing legal battle over AI training data and copyright enforcement in the music industry. #AI#Copyright

🇬🇧Paul McCartney urges government crackdown on AI copyright In his recent interview Paul McCartney has called on the UK government to take action against AI “ripping off” creative professionals. He also criticized proposals that would allow AI developers to use creators’ content without their consent, unless rights holders opt out. “When you’re passing a bill, make sure you protect the creative artists, or you won’t have any,” said McCartney. #AI#Copyright

USA: New Bill Proposes Disclosure of AI Training Data A proposed bill spearheaded by Rep. Adam Schiff seeks to address concerns regarding the use of copyrighted materials in training artificial intelligence models. Dubbed the Generative AI Copyright Disclosure bill, it mandates tech companies to disclose any copyrighted materials utilized in their AI training datasets. The bill requires comprehensive reports detailing the copyrighted content and associated URLs to be submitted to the Copyrights Register. Additionally, any modifications to the dataset must be reported. Companies must submit these reports at least 30 days before releasing AI models trained on the disclosed datasets to the public. While not retroactive, the bill applies to any subsequent changes made to existing AI platforms' training datasets. Although developers argue that their models are trained on publicly available data, concerns persist regarding the use of copyrighted materials without explicit consent. The bill enjoys support from various industry groups, including the Writers Guild of America, the Recording Industry Association of America, and others. Notably, the Motion Picture Association has not backed the initiative. #AI#copyright

Alaska Used Fake Stats in Policy Because of AI hallucinations Alaska's Department of Education and Early Development (DEED) used generative AI to draft a cellphone restriction policy, but the AI produced false academic citations, which nearly influenced board-level decisions. These “hallucinated” citations were unverified and misleading, exposing gaps in the verification processes before the document reached Alaska’s State Board of Education and Early Development. This case illustrates that while AI can assist in policy drafting, relying on its outputs without human verification poses risks. If unaddressed, such reliance could lead to misinformed policies and public distrust. Alaska’s experience serves as a reminder that, in policy and law, human oversight and transparency are essential for safeguarding credibility and effectiveness. #AI#AIGovernance#AIEthics

📖BSI Report Finds Gaps Between AI Adoption and Governance The British Standards Institution found a large gap between businesses that plan to adopt AI and those that have a dedicated plan to govern it. The study found only a quarter of businesses have an AI governance program in place, but 62% want to increase AI investment over the next year. "As this report shows, many businesses are racing to show that they are taking advantage of AI. However, organizations are not always considering whether the AI they are embracing is bringing genuine benefit or thinking about the risks they are potentially opening their organizations up to." #AIGovernance