AI is disrupting every area of life, including how organizations find talent. Technologically-enhanced and data-driven talent identification are still a “work in progress.”
Companies are generally aware of the ROI that comes from finding the right person for the right job. Despite the crucial role of talent, organizations are still unable to attract the right talent, relying more on intuitive rather than data-driven talent identification practices — especially at the top, where the stake are actually highest.
In this blog, Tomas Chamorro-Premuzic, Chief Talent Scientist at ManpowerGroup, writes about to what degree new technologies within the new world of AI-based hiring tools could help us reduce error, noise, and bias (especially gender bias) in our talent identification processes.
Read the full article on the Harvard Business Review website.