WHAT: A virtual roundtable and Q&A, sponsored by Utah based HireVue, to discuss the implications and learnings around the application of AI in hiring. The session features leading external experts in algorithmic bias and data science to share the perspectives on how AI is and will continue to impact hiring. As the industry’s most comprehensive AI-driven candidate assessment and interviewing platform, HireVue experts will also share the methodology and experience behind their Assessments platform.
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- Dr. Suresh Venkatasubramanian – Member of the Board of Directors of the ACLU of Utah, Professor in the School of Computer Science at the University of Utah, and founding member of the ACM Conference on Fairness, Accountability and Transparency.
- Ben Taylor – Chief AI Officer and co-founder at Ziff.ai with over 14 years of machine learning experience, known for his research on bias and for pushing the boundaries of what is possible with deep learning.
- Loren Larsen – As Chief Technology Officer at HireVue, Loren is responsible for guiding HireVue’s product direction through the product management, user experience, and engineering teams. Larsen is an award-winning technology veteran with more than 20 years of engineering and research experience.
- Dr. Nathan Mondragon – Serving as HireVue’s Chief Industrial Organizational Psychologist, Dr. Mondragon brings more than 20 years’ experience of blending talent management and technology solutions. He is recognized as one of the pioneers in creating web-based assessment tools for professional hiring at leading organizations including Oracle, Dell and Taleo. In addition, he was the lead IO on a team that delivered the first ever integrated online selection assessment in 1996.
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WHERE: Online – Details to be shared once RSVP is received
WHEN: Wednesday, March 27, 2019
11am -12 NOON Pacific / 2-3 PM Eastern
WHY: AI has significant potential to improve hiring for both companies and candidates — if done properly. As the AI landscape evolves quickly and companies from Amazon to Google to many others scramble to harness the positive benefits, it is important to understand the collaboration between data sources, machine learning, IO and the validation process.
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