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The digital age has vastly expanded access to explicit content, and generative AI now enables users to create explicit images with alarming ease. Governments and the U.N. warn about the rise of illegal AI-generated deepfakes, particularly those involving minors. Despite these concerns, some tech leaders, like OpenAI's Sam Altman, have considered integrating adult content features into AI tools.
Our research investigates how AI-generated explicit content affects offline sexual crime, using Japan as a case study due to its detailed public crime data. Following the mid-2023 launch of ChatGPT’s mobile app and improvements in AI image generation, Japan saw a significant rise in reported rape cases, increasing from an average of 148 to 265 per month. This rise surpassed other violent crimes such as murder, suggesting a specific link to sexually motivated offenses.
Analysis of activity on a major Japanese online art community revealed that peaks in engagement with AI-generated adult images correlated with increases in rape cases, especially those involving minors. The findings suggest a disturbing connection between AI-generated explicit content and real-world sexual crimes.
While causation cannot be fully proven, the evidence raises serious concerns about the societal impacts of unrestricted AI-generated adult content. Policy measures like watermarking, strict age verification, and enforcement of existing child protection laws could mitigate these risks. The scale of the problem calls for urgent legal reforms and careful consideration from technology companies to prevent facilitating sexual crimes, particularly against minors.
The Federal Communications Commission (FCC) has announced a ban on humanoid and animal-like robotic devices from China, citing significant national security risks. This action aligns with the Trump administration’s ongoing efforts to restrict Chinese technology access in the United States. The banned devices are classified by the FCC as 'advanced robotic devices,' including both humanoid and quadruped robots.
A federal judge ruled that the Trump administration failed to provide adequate evidence to classify Anthropic as a supply-chain risk. This decision raises questions about the government's ban on Anthropic’s AI technology, potentially impacting future regulatory actions.
The U.S. Federal Trade Commission has accused Hims & Hers, a company that provides prescriptions for sexual wellness and mental health, of using website trackers to share sensitive patient information with advertisers Meta and Snap.
NHS England has acknowledged an error in its data-protection paperwork that failed to fully disclose access rights to patient information. Contrary to earlier statements, staff at Palantir, the US-based data analytics company, are able to view identifiable patient data within the Federated Data Platform system. This clarification was provided following a request from the National Data Guardian, highlighting concerns about transparency in handling sensitive medical records.
Thomas Regnier, a spokesperson for the European Commission, indicated to Reuters that it is quite likely ChatGPT and Roblox will be classified under the strictest provisions of the EU Digital Services Act. This move could result in enhanced regulatory requirements for these platforms.
Whether you operate a medical practice or a law firm, getting recognized by AI search engines hinges on three key strategies. Surprisingly, most businesses fail to implement any of these crucial steps.
Security teams evaluating open-source AI models often rely on unverified metadata tags to determine model lineage, leaving verification gaps. A recent report from Interconnects AI tracked 1,500 open models and found that 69% of derivatives stem from Alibaba’s Qwen family, with Chinese labs contributing 70%. Cisco's newly launched AI Supply Chain Provenance Explorer addresses these gaps by fingerprinting nearly 900 open models using sophisticated similarity scores and weight-level analysis. This public tool allows users to verify model parentage, license restrictions, scan coverage, and provider details without needing a Cisco product or extensive local computation. The Explorer improves risk management by replacing self-reported tags with data-driven lineage, enabling security teams to assess vulnerabilities, malware scanning completeness, jurisdiction, and licensing obligations more accurately. It also supports compliance with the upcoming EU AI Act by providing transparent provenance data. Although the tool currently covers a subset of models on Hugging Face, it marks a significant advancement in securing open AI model supply chains and assisting organizations to adopt safer AI practices.
Minnesota's pioneering legislation aims to curb AI-generated fake nude images by banning 'nudification' technology on digital platforms. Elon Musk's xAI has filed a federal lawsuit against this law just days before it becomes effective, raising a critical legal debate on state authority to regulate AI usage. Passed in May, the law positions Minnesota as the first state to confront this fast-evolving AI issue at a legal level.
A judge has rejected a request by xAI to stop the enforcement of a Minnesota law that prohibits apps designed to 'nudify' images, allowing the ban to proceed despite ongoing legal challenges from the company.
