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If DEI Programs Aren’t Effective, What Is?
Manage episode 466144597 series 7702
Content provided by Harvard Business Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Business Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Amid the backlash against diversity, equity, and inclusion (DEI) initiatives in the United States and elsewhere, leaders in both the public and private sectors are reevaluating their organizations' policies and goals. While many employers and employees still value and support DEI, a growing chorus argues that such programs run counter to meritocratic ideals. Iris Bohnet and Siri Chilazi of the Harvard Kennedy School think there's one principle everyone should be able to agree on -- fairness -- and argue for a data-driven approach to measuring it. They share their research on how to make workplace systems more fair and offer cases we can all learn from. They wrote the book Make Work Fair: Data-Driven Design for Real Results.
…
continue reading
1047 episodes
Manage episode 466144597 series 7702
Content provided by Harvard Business Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Business Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Amid the backlash against diversity, equity, and inclusion (DEI) initiatives in the United States and elsewhere, leaders in both the public and private sectors are reevaluating their organizations' policies and goals. While many employers and employees still value and support DEI, a growing chorus argues that such programs run counter to meritocratic ideals. Iris Bohnet and Siri Chilazi of the Harvard Kennedy School think there's one principle everyone should be able to agree on -- fairness -- and argue for a data-driven approach to measuring it. They share their research on how to make workplace systems more fair and offer cases we can all learn from. They wrote the book Make Work Fair: Data-Driven Design for Real Results.
…
continue reading
1047 episodes
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