AI, Hiring, and Human Judgment: Ethics, Accountability, and Transparency in the Talent Lifecycle

AI, Hiring, and Human Judgment: Ethics, Accountability, and Transparency in the Talent Lifecycle

Artificial intelligence is transforming how institutions recruit, assess, hire, and onboard talent. Yet conversations about AI in hiring often focus solely on job seekers while overlooking how employers, HR professionals, and search firms are also leveraging these tools. This session will examine the opportunities, risks, and ethical considerations associated with AI across the talent lifecycle. Through the perspectives of higher education HR leaders, executive search professionals, and career development experts, participants will explore how AI can support efficiency while maintaining fairness, transparency, accountability, and human judgment.

Learning Outcomes:

• Describecurrent trends in AI use across recruitment, candidate assessment, hiring, and onboarding.
  • https://www.cupahr.org/resource/ai-adoption-and-attitudes-in-higher-ed-hr/
  • https://www.educause.edu/research/2026/the-impact-of-ai-on-work-in-higher-education
• Evaluateethical and equity considerations related to AI use by candidates, employers, and search professionals.
  • https://www.shrm.org/labs/resources/the-evolving-role-of-ai-in-recruitment-and-retention
• Identify practices that promote fairness, transparency, and human-centered decision-making throughout the hiring process.

📍 Virtual

📅 October 15, 2026 - 4 PM ET

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