Topic

Employee Training

Employee training in AI governance refers to structured educational programs that equip workforce members with knowledge about responsible AI use, policy compliance, ethical considerations, and risk mitigation. These programs are critical for enterprises because they ensure staff across all levels understand AI-related regulations, internal guidelines, and potential harms, reducing organizational risk and fostering a culture of accountability. Effective training helps prevent misuse of AI systems, supports regulatory compliance efforts, and enables employees to identify and escalate governance concerns before they become compliance violations.

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ResearchUS2026-07-12

Ten-Step Enterprise AI Governance Framework from Fisher Phillips Puts Governance Committees, Bias Audits, and Vendor Due Diligence at the Center

Law firm Fisher Phillips published a practitioner guide outlining ten foundational steps for businesses building AI governance programs. The guide calls for forming dedicated governance committees, defining approved AI use cases, implementing bias-checking protocols, and mandating annual employee training. It also requires organizations to conduct periodic audits and demand evidence of diverse training datasets from AI vendors.

Fisher Phillips governance committee bias audits vendor due diligence employee training AI governance program US AI regulation enterprise compliance