In 2025, integration of AI in consumer products drove increased scrutiny from regulators and plaintiffs over privacy and consumer-protection laws. This article reviews key government enforcement actions, novel private lawsuits, and legislative developments shaping AI governance.
Federal agencies face increasing pressure to ban Grok AI due to its capability to generate explicit content. This raises important questions about content regulation and AI developers’ responsibilities.
ShareVault has achieved ISO 42001 certification, becoming one of only two virtual data room providers worldwide with audited AI governance. This certification confirms that ShareVault’s AI-powered features are deployed safely and ethically, offering customers in regulated industries trusted AI capabilities.
Anthropomorphic AI systems are evolving rapidly, transforming user interactions by simulating human traits like empathy and personality. This progress raises significant risks regarding individual protection, emotional dependence, and calls for robust regulatory frameworks.
The UK’s AI Security Institute (AISI) provides important safety evaluations for AI models, reassuring buyers. However, organizations remain responsible for due diligence, risk management, and continuous monitoring throughout AI deployment.
New guidelines on artificial intelligence in New York City public schools will be released this month, addressing parental concerns about plagiarism and privacy risks. The Department of Education aims to balance innovation with student safety through clear AI usage policies.
For artificial intelligence in government to have a positive impact, it must be trusted by employees and citizens alike. Effective AI governance is essential to bridge the gap between high public trust in AI and the necessary investments in governance measures.
AI is revolutionizing knowledge management by shifting it from a passive repository to an active organizational capability that delivers knowledge directly to employees. This shift necessitates trust and effective governance to ensure the reliability of AI-generated information.
This article advocates for regulating the use of AI rather than the AI models themselves, highlighting the ineffectiveness of model-centric regulations and the benefits of a risk-based, use-focused regulatory framework.
Snohomish County is organizing a civic assembly of about 40 residents to draft recommendations on AI use in local government, emphasizing transparency and public participation to ensure diverse community voices shape the regulations.
