AI Has Made Hiring Worse-But It Can Still Help
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AI Has Made Hiring Worse-But It Can Still Help
"I have been researching, speaking, and writing about the impact of AI in hiring for years, long before large language models entered the mainstream. AI's deep penetration in recruitment was always likely. People spend much of their lives online, including while working (or pretending to), while firms have invested trillions in digital systems designed to capture, store, and analyze the resulting data from this. A technology like AI, capable of translating this ocean of data into insight was therefore inevitable."
" is the chief science officer at Russell Reynolds Associates, a professor of business psychology at University College London and at Columbia University, a cofounder of Tomas Chamorro-Premuzic deepersignals.com, and an associate at Harvard's Entrepreneurial Finance Lab. He is the author of Why Do So Many Incompetent Men Become Leaders? (and How to Fix It) (Harvard Business Review Press, 2019), upon which his TEDx talk was based,"
AI has deeply penetrated recruitment due to extensive online activity and the vast digital footprints people generate. Organizations have invested trillions in digital systems that capture, store, and analyze that data. The abundance of behavioral and performance data makes recruitment ripe for AI-driven analysis. AI can translate this ocean of data into insight, enabling automated screening, pattern detection, and predictive hiring decisions. The convergence of available data, organizational infrastructure, and AI capabilities makes widespread adoption in hiring processes inevitable. Ethical, fairness, and governance considerations will determine how these AI tools affect candidate assessment and employment outcomes.
Read at Harvard Business Review
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