Bob is joined by Dr. Charles Handler to discuss various topics related to AI, skills-based hiring, and the challenges of keeping up with information overload. They explore the importance of defining skills in skills-based hiring and the need for verification at scale. They also touch on the value and risks of AI in the hiring process, particularly in the assessment phase. Dr. Handler shares his thoughts on reducing friction in hiring, the paradox of AI, and the potential future of assessment with automated inferential assessments and high-fidelity simulations. The conversation explores the challenges and potential of AI adoption and responsible AI practices. Bob and Charles discuss the timeline for mass adoption of AI, the role of AI in simulations and training, the need for policies and governance around AI, and the impact of AI on diversity, equity, and inclusion. They emphasize the importance of understanding the technical aspects of AI and recommend educational resources for building AI literacy.
Keywords
AI, skills-based hiring, information overload, verification, friction reduction, accuracy, fairness, assessment, inferential assessments, simulations, AI adoption, responsible AI, mass adoption, simulations, training, policies, governance, diversity, equity, inclusion, AI literacy
Takeaways
- Defining skills is crucial in skills-based hiring to ensure a shared understanding of what constitutes a skill.
- Verification of skills at scale is a challenge in skills-based hiring, and finding a solution for this is essential for accuracy.
- AI can reduce friction in the hiring process but may come at the cost of accuracy and fairness.
- Machine learning has been used in ATSs for resume parsing and matching, but there is still room for improvement.
- The future of assessment may involve automated inferential assessments based on digital exhaust and high-fidelity simulations. Mass adoption of AI may take time, but experimentation and progress are happening.
- AI can be used in simulations and training, such as military simulations and role-playing scenarios.
- Policies and governance around AI are necessary to ensure responsible AI practices.
- AI has the potential to impact diversity, equity, and inclusion in hiring and talent acquisition.
- Building AI literacy is important for understanding the technical aspects of AI and its implications.
Sound Bites
- "Skills-based hiring is about accuracy and fairness."
- "There will be a sinkhole in assessment with automated inferential assessments and high-fidelity simulations."
- "Is AI a fad? This is not crypto. This is here to stay."
- "The future is people training the agents how to have good competencies."
- "The baseline of where we are in the moment is still incredible and game-changing."
Chapters
00:00 Introduction and Background
03:03 Challenges of Keeping Up with AI and Information Overload
10:40 Skills-Based Hiring and the Half-Life of Skills
21:58 The Value and Risks of AI in the Hiring Process
22:18 AI's Role in Reducing Friction and the Paradox of Accuracy and Fairness
24:47 The Future of Assessment: Automated Inferential Assessments and High-Fidelity Simulations
25:59 The Timeline for Mass Adoption of AI
27:31 AI in Simulations and Training
34:18 The Need for Policies and Governance around AI
43:18 AI's Impact on Diversity, Equity, and Inclusion
48:13 Building AI Literacy
Dr. Charles Handler: https://www.linkedin.com/in/drcharleshandler/
Rocket-Hire: http://www.rocket-hire.com
Psych Tech @ Work: https://open.spotify.com/show/2euPiLjmRMoce5cvh5S3Jp?si=30050c48046e452d
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