Webinar Summary

There is an increasing number of reports discussing the urgent need for addressing bias in decision-making algorithms in healthcare. In fact, a recent JAMA commentary published in 2021 highlighted systemic kidney transplantation inequities for black individuals. With AI-based and machine learning techniques increasingly playing a role in healthcare decision-making, it becomes necessary to discuss not only the ethical implications but solutions and approaches to detect and reduce the impact of computer bias in healthcare.

In this webinar on-demand, industry experts will share lessons learned and discuss possible solutions.

Ideal for:

Manager, Sr. Manager, Director, CSO, CIO, CEO

Speakers

• Peter Henstock, PhD, Machine Learning & AI Technical Lead, Pfizer
• Helena Deus, PhD, Biomedical Semantic Solutions Lead, ZS Associates
• Margi Sheth, R&D Data Policy Director, AstraZeneca
• Prashant Natarajan, Vice President of Strategy & Products, H20.ai

For more information about the Pistoia Alliance’s Artificial Intelligence & Machine Learning Community, please contact us.

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