AI at Work – Drafting an Effective and Compliant AI Workplace Policy

Workplace AI policies require clear definitions that distinguish between general AI technologies and generative tools, while also addressing the risks associated with open versus enterprise-licensed platforms. Organizations must establish robust governance frameworks, including oversight committees and rigorous vendor diligence, to mitigate legal and reputational risks such as insider trading, data breaches, and discriminatory outcomes. Employment-related AI use demands strict guardrails, particularly in sensitive areas like hiring, performance evaluations, and internal investigations, where human judgment must remain central to ensure compliance with evolving federal and state anti-discrimination laws. Effective implementation relies on role-specific training, regular policy updates to keep pace with technological advancements, and clear communication regarding monitoring and privacy expectations. By integrating these policies into broader corporate frameworks, firms can balance operational efficiency with the necessity of maintaining legal and ethical standards in an increasingly complex regulatory environment.