AI In Health Care: Managing Algorithmic Bias And Fairness AHLA's Speaking Of Health Law podcast

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AI in Health Care: Managing Algorithmic Bias and Fairness

2M ago 37:17

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Konten disediakan oleh AHLA Podcasts. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh AHLA Podcasts atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Brad M. Thompson, Partner, Epstein Becker & Green PC, Chris Provan, Managing Director & Senior Principal Data Scientist, Mosaic Data Science, and Sam Tyner-Monroe, Ph.D., Managing Director of Responsible AI, DLA Piper LLP (US), discuss how to analyze and mitigate the risk of bias in artificial intelligence through the lens of data science. They cover HHS’ Section 1557 Final Rule as it pertains to algorithmic bias, examples of biased algorithms, the role of proxies, stratification of algorithms by risk, how to test for biased algorithms, how compliance programs can be adapted to meet the unique needs of algorithmic bias, the NIST Risk Management Framework, whether it’s possible to ever get rid of bias, and how explainability and transparency can mitigate bias. Brad, Chris, and Sam spoke about this topic at AHLA’s 2024 Complexities of AI in Health Care in Chicago, IL.

To learn more about AHLA and the educational resources available to the health law community, visit americanhealthlaw.org.

… continue reading

515 episode

#Podcasting Education #AHLAs

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AI in Health Care: Managing Algorithmic Bias and Fairness

AHLA's Speaking of Health Law

published 2M ago

Bagikan

MP3•Beranda episode

Konten disediakan oleh AHLA Podcasts. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh AHLA Podcasts atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Brad M. Thompson, Partner, Epstein Becker & Green PC, Chris Provan, Managing Director & Senior Principal Data Scientist, Mosaic Data Science, and Sam Tyner-Monroe, Ph.D., Managing Director of Responsible AI, DLA Piper LLP (US), discuss how to analyze and mitigate the risk of bias in artificial intelligence through the lens of data science. They cover HHS’ Section 1557 Final Rule as it pertains to algorithmic bias, examples of biased algorithms, the role of proxies, stratification of algorithms by risk, how to test for biased algorithms, how compliance programs can be adapted to meet the unique needs of algorithmic bias, the NIST Risk Management Framework, whether it’s possible to ever get rid of bias, and how explainability and transparency can mitigate bias. Brad, Chris, and Sam spoke about this topic at AHLA’s 2024 Complexities of AI in Health Care in Chicago, IL.

To learn more about AHLA and the educational resources available to the health law community, visit americanhealthlaw.org.

… continue reading

515 episode

#Podcasting Education #AHLAs

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