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Renée Cummings: The human impact of algorithmic systems [replay]
Manage episode 499614206 series 3576107
What does it mean when AI influences who gets a job, a loan, or even a second chance? In this episode, Renée Cummings, criminologist, data activist, and Professor of Practice in Data Science at the University of Virginia, shares a compelling look at how algorithmic systems can shape human lives and why leaders must pay attention.
Renée draws from her experience in criminal justice and public policy to reveal how data-driven decisions can reinforce bias—or drive equity—depending on how they’re built and governed. She introduces the concept of “competitive vigilance” and explains why understanding the human consequences of AI is not just ethical - it’s essential for innovation and leadership.
If you're navigating digital transformation, this conversation will help you see AI through a more human, strategic lens.
This episode was published in May, but we want to remind this important topic while we work on new episodes and enjoy summer holidays.
32 Episoden
Manage episode 499614206 series 3576107
What does it mean when AI influences who gets a job, a loan, or even a second chance? In this episode, Renée Cummings, criminologist, data activist, and Professor of Practice in Data Science at the University of Virginia, shares a compelling look at how algorithmic systems can shape human lives and why leaders must pay attention.
Renée draws from her experience in criminal justice and public policy to reveal how data-driven decisions can reinforce bias—or drive equity—depending on how they’re built and governed. She introduces the concept of “competitive vigilance” and explains why understanding the human consequences of AI is not just ethical - it’s essential for innovation and leadership.
If you're navigating digital transformation, this conversation will help you see AI through a more human, strategic lens.
This episode was published in May, but we want to remind this important topic while we work on new episodes and enjoy summer holidays.
32 Episoden
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