AI-enabled interviewing tools streamline the hiring process but come with legal and ethical risks, such as bias and data privacy concerns. Employers should adopt comprehensive policies and ongoing vendor oversight to effectively mitigate these risks.
On January 27, FINRA published observations on the emerging use of agentic AI in the financial services industry, highlighting the autonomy of these AI agents in decision-making without continuous human intervention while identifying several associated risks such as lack of human judgment and potential misuse of sensitive data.
On February 2, 2026, Yu Yonghe, head of the Network Management Technology Bureau at China’s Cyberspace Administration, outlined the country’s AI-generated content labeling system aimed at enhancing governance and transparency. This system incorporates a mix of explicit and implicit labeling methods to effectively identify AI-generated content while accommodating the technical capabilities of various platforms.
An audit by the New York State Comptroller found that enforcement of NYC’s Local Law 144, regulating automated employment decision tools, is ineffective. Employers should proactively ensure compliance to avoid stringent enforcement and significant penalties.
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.
