At the Compliance Week AI event in Fort Lauderdale, keynote speaker Jen Gennai emphasized the importance of defining clear goals for AI before implementation. The event gathered over 100 compliance executives to discuss AI adoption and the necessity of embedding ethical practices from the start.
States are rapidly moving to legislate against granting personhood to artificial intelligence amid broader debates on AI regulation at state and federal levels. Lawmakers emphasize that AI should not have human rights, citing concerns about liability and accountability.
As of February 2, 2026, the European Union’s AI Act has shifted from a theoretical framework to an active enforcement regime, imposing stringent transparency and governance requirements that compel major tech companies to overhaul their products and operations. This Act is reshaping the global AI landscape by setting new compliance benchmarks.
Artificial intelligence (AI) is increasingly used in insurance claims handling, offering benefits like speed and accuracy but raising litigation risks related to allegations of bad faith. The case of Estate of Lokken v. UnitedHealth Group, Inc. highlights how reliance on AI tools can lead to claims that individualized judgment was replaced, increasing potential exposure for insurers.
South Korea has introduced the AI Basic Act, establishing a regulatory framework for AI development and deployment. US companies operating in South Korea must understand the law’s implications for compliance and business operations.
The Harvard European Law Association is hosting a lunch talk with Isabel Hahn on February 5, 2026, discussing AI governance and policy in the EU, including the EU AI Act and comparisons with current US state AI laws.
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.
