AI Philosophy 101: Ethics, Equity & Governance
Published:
February 23, 2026
At ViVE 2026, Cohere Health's Chief AI & Data Officer, Gigi Yuen-Reed, joined a distinguished panel that included Brian Anderson, president and chief executive officer at CHAI; Carrie Nixon, managing partner at Nixon Law Group; Denise Hines, executive director at Georgia Health Information Network; and Dr. Erin Palm, chief medical officer at Infinitus Systems.
Together, they addressed some of the most pressing questions around AI in healthcare: balancing innovation with accountability, advancing data transparency, and keeping pace with a fast-changing regulatory landscape.
Watch the on-demand panel, AI Philosophy 101: Ethics, Equity & Governance, to learn how innovative organizations build responsible, trustworthy AI in healthcare–including modern approaches to data collaboration, transparency, and fair, accountable innovation.
Meet the Speakers
Gigi Yuen, PhD
Chief Data & AI Officer
Gigi Yuen, PhD
Chief Data & AI Officer
Gigi Yuen serves as Cohere Health’s chief data & AI officer, leading the data organization, which includes data management, data science, machine learning/AI, and business intelligence.
Gigi has more than 20 years of experience leading cross-functional teams in data solution innovation. Prior to joining Cohere Health, she established the first-ever AI and Analytics function in Availity. At IBM, Gigi was recognized as a Distinguished Engineer. She became one of the first data scientists to receive this designation that is reserved for only the top 0.2% of technical staff in the global firm. Additionally, she led R&D for Watson Health’s $100M+ analytic portfolio where she drove advancements in patient care, real-world evidence research, and actuarial modeling. Gigi is an author of more than 15 peer-reviewed publications and has nearly 20 patents granted or pending.
Gigi holds a bachelor’s, master’s, and Ph.D. in Engineering from Northwestern University.
In this on-demand recording, you’ll learn:
- Why responsible AI is now a strategic imperative, not a nice to have
- How tightening regulations are reshaping AI deployment and data governance
- Where bias, equity, and transparency challenges most often emerge
- How multidisciplinary AI governance committees are improving oversight
- What leading organizations are doing to ensure privacy, consent, and data quality
