Developing Guidelines for Responsible Generative AI in Healthcare

The Coalition for Health AI (CHAI) is a non-profit tasked with developing concrete guidelines and criteria for responsibly developing and deploying AI applications in healthcare. This session introduces CHAI, how it works with the US government and across the healthcare community, what it has built that you can use today, and how you can get involved. Examples will focus on Generative AI applications in healthcare – including the specific risks and best practices to pay attention to when building them, including John Snow Labs’ contributions in the areas of fairness, equity, and bias mitigation.

About the speakers

Hoifung Poon

Nicoleta Economou-Zavlanos

Algorithm-Based CDS Oversight Director at Duke University School of Medicine

Nicoleta J Economou, PhD, serves as the Director of Governance and Evaluation of Health AI Systems for Duke Health. She is also the founding director of the Algorithm-Based Clinical Decision Support (ABCDS) Oversight leading the operations and framework design effort for the governance, evaluation, and monitoring of ABCDS software at Duke. She also leads initiatives relevant to the evaluation and governance of health AI technologies, along with leading operations of the Coalition for Health AI (CHAI), a coalition establishing the guidelines and guardrails for health AI technologies.

Hoifung Poon

Mwisa Chisunka

Head of Government Programs at John Snow Labs

Mwisa Chisunka is the Head of Government Programs at John Snow Labs. She facilitates the adoption of advanced AI technologies, including specific applications in LLMs, NLP and VDU to enhance efficiency and outcomes within the government and public sector. Her work is at the forefront of bridging governance, policy-making, and technology, targeting the resolution of complex challenges through the strategic deployment of AI solutions. With a profound understanding of the dynamic interplay between public administration and emerging technologies, Mwisa recommends state-of-the-art AI solutions that drive significant advancements in government operations and services. Mwisa is actively engaged with the Coalition for Health AI (CHAI), which aims to establish standards and provide guidance for the ethical development and integration of AI in healthcare. Her involvement aligns with CHAI’s goal to promote the evaluation and adoption of responsible AI technologies – a commitment deeply reflected in her work. Mwisa attained a BA from Colgate University and an MPA from the Nelson A. Rockefeller School of Public Affairs and Policy, equipping her with a solid foundation of public affairs, policy analysis, and administration. Her career trajectory includes critical positions within the New York State (NYS) Senate, NYS Department of Taxation and Finance, and a groundbreaking tenure as the first NYS Business Ombudswoman.

NLP-Summit

When

Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024

Contact

nlpsummit@johnsnowlabs.com

Presented by

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