AI enables millions of decisions at scale, but these approaches often perpetuate bias and inequity. Responsible AI are the efforts to fight that bias, and it's grown from a tiny, niche interest to a major item for the White House, the FTC, and the FDA.

Chicago Booth's Center for Applied AI recently hosted the Responsible AI in Healthcare Conference connect people in healthcare and tech with the agencies mentioned above.

Chris Hemphill, our Hello Healthcare Host & VP of Applied AI, discusses the challenges addressed at the conference and how healthcare leaders can work towards responsible AI.

00:00 The Impact of Bias in AI
01:15 Who Advocates for Responsible AI? Even the White House!
01:45 What Happens if We Don't Drive Responsible AI
03:03 The Grim Future of Healthcare Disparities
04:08 Why Data Hasn't Solved Fixed Bias in Healthcare
05:01 Pass vs Fail: The Anatomy of Successful AI Projects
06:28 Responsible AI as a Health System KPI
07:51 Partnering with Your Patients on Data & Inequities
10:31 Summing Up the Responsible AI Conference

References:

Coded Bias: [ Ссылка ]
The Social Dilemma: [ Ссылка ]
Dr. Ziad Obermeyer on Bias in Healthcare Algorithms: [ Ссылка ]
Joe Public 2030: [ Ссылка ]
Weapons of Math Destruction: [ Ссылка ]
MIT & Boston Consulting Group’s AI Analysis: [ Ссылка ]
Chicago Booth Center for Applied AI: [ Ссылка ]
CAAI's Algorithmic Bias Playbook: [ Ссылка ]

Open Source Software Credits:
matplotlib
pandas

Sound and Music Credits:
Zapsplat.com (sound effects)
Streambeats (music)
MusiqueMacabre (music)

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How do CRM Intelligence and health system strategy converge to drive greater consumer and patient activation to the services they need most?

Learn more here: [ Ссылка ]
Podcast: [ Ссылка ]

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