AI Governance and Risk for HR

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Artificial Intelligence has reached a critical tipping point in the workplace, with adoption now outpacing the legal “wait-and-see” period. As organizations increasingly rely on AI for recruiting, performance management, and workforce analytics, HR professionals are navigating a rapidly evolving landscape of regulatory obligations, data privacy concerns, and organizational risk. Understanding the laws, governance expectations, and potential liabilities associated with AI is no longer optional—it is an essential component of modern human resources leadership.

This webinar provides a comprehensive blueprint for AI governance and risk management within the HR function. Participants will explore key legal vulnerabilities, including data privacy infractions, vendor contract liabilities, disparate impact discrimination risks, and emerging state-law obligations. The session moves beyond theory to deliver practical guidance on evaluating AI vendors for algorithmic bias, establishing organizational ownership among HR, Legal, and IT teams, and implementing safeguards against unauthorized “shadow AI” usage. Attendees will also gain insight into aligning internal recordkeeping and retention practices with new legislative standards while fostering innovation in a compliant and responsible manner.

Your Benefits For Attending:
  • Distinguish between the major categories of AI-related employment risk, including discrimination and disparate impact liability, data privacy concerns, vendor liability, and emerging state-law obligations.
  • Evaluate AI vendor contracts and tools using a governance checklist that examines functionality, data usage, bias testing methods, and vendor documentation.
  • Draft or assess an AI use policy that defines approved tools, prohibited uses, and escalation procedures for unauthorized or “shadow AI” applications.
  • Identify recordkeeping and retention requirements associated with AI-assisted employment decisions.
  • Map organizational accountability for AI governance by defining oversight responsibilities across HR, Legal, and IT teams and establishing audit practices.

Attending this webinar will provide HR leaders and business professionals with actionable strategies to confidently manage AI-related risk while supporting organizational innovation. Participants will leave with a practical framework to strengthen compliance efforts, safeguard employee and candidate data, and build resilient AI governance practices for the future.

Areas Covered in the Session:
  • AI-related employment risks and legal liabilities
  • Data privacy and employee/candidate information protection
  • AI vendor evaluations and governance checklists
  • Algorithmic bias and disparate impact considerations
  • AI usage policies and shadow AI management
  • Recordkeeping and retention requirements for AI-assisted decisions
  • Organizational accountability across HR, Legal, and IT
  • Emerging legislative standards impacting workplace AI
Who Will Benefit:
  • Any Supervisor, Manager, or HR-related associations
  • Operations, Legal, Compliance, and Risk Management professionals
  • HR professionals in any role
  • CEOs, COOs, and CFOs
  • Supervisors, Managers, and Team Leaders
  • Recruiters
  • Wendy Sellers

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Webinar Survey Overall Rating

This webinar received a total of 2 survey responses. Attendees have given an average rating of 5.0 stars out of a possible 5, reflecting the quality and value of the content presented.

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Reviews From Webinar Survey

Our webinars are crafted to deliver exceptional value and insight to business professionals. Below, you'll find genuine feedback from attendees.

Alisha M.
September 4, 2026
5.0 / 5
Webinar Rating:
5.0 Stars
Speaker Rating:
5.0 Stars
Do you have any other comments, questions or concerns?
I am extremely grateful this overview of AI in HR was a free resource I can utilize as I work with my company to begin creating our own policy to protected the corporation, employees, and our clients.

Lisa T.
September 3, 2026
5.0 / 5
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Do you have any other comments, questions or concerns?
really great