Operationalizing Risk Management for AI Hiring Technologies
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HR professionals face mounting pressure to develop centralized governance policies for AI hiring tools to comply with legal obligations and meet DEI and accessibility priorities. This session will share actionable guidance to help mitigate and manage bias and discrimination risks for these tools, with a focus on the new NIST AI Risk Management Framework Inclusive Hiring Profile developed in partnership with NIST by a team of industry, advocacy, and government collaborators (anticipated release mid-2024).
Learning Objectives:
- What artificial intelligence (AI) is, and how HR professionals are using it to recruit and assess candidates.
- The landscape of AI risks in HR, including new guidance and procedures from EEOC & OFCCP and state regulatory efforts.
- Sample questions to ask vendors.
- How your organization can develop an AI governance framework to help mitigate and manage the risks that AI hiring systems may carry.
- Suggested actions, activities, and documentation for AI Hiring Tech, aligned to the NIST Risk Management Framework's four key functions (Govern, Map, Measure, and Manage).
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Acknowledgment of Technical Issues: While rare, technical issues may occur during sessions. We appreciate your patience as we quickly address them.
Accessibility & Accommodations Information: For detailed accessibility & accommodations information, visit INFO > FAQs in the app.
Bill Curtis-Davidson
Bill Curtis-Davidson is the Director of the Partnership on Employment & Accessible Technology (PEAT), a policy initiative funded by the U.S. Department of Labor’s Office of Disability Employment Policy. PEAT helps to create a future where accessible technology is standard in all workplaces. Bill advocates for equity, inclusion, and accessibility in public and private sector efforts to develop policies, standards, and practices. He advises the Georgia Tech Human-Computer Interaction Degree Program, serves as a ForHumanity Fellow and Certified Auditor in Disability Inclusion & Accessibility, and is a member of the Partnership on AI’s Global Task Force on Inclusive AI.