IAPP AI Governance Global North America 2025
BOSTON
18-19 September
Algorithmic Anamnesis: Bringing Explainability to Life in Health Care
Friday, 19 Sept.
14:15 - 15:15 EDT
Intermediate level
In the rapidly evolving health sector, the integration of AI technologies presents both opportunities and challenges. This session will give practical insights on how to effectively apply explainability to foster transparency and trust in AI-driven decisions, considering the requirements of existing laws and regulations while focusing on real-world examples and best practices. Attendees will gain insights into the ethical and regulatory considerations, as well as the technical approaches to implementing explainability in their AI systems. Join our in-house experts and top tier consultants to learn how to bridge the gap between AI innovation and responsible health care delivery.
What you will learn:
- Learn the fundamental concepts of Explainable AI and its impact on the health sector.
- Discover actionable strategies and tools to implement explainability in AI systems used in health care.
- Gain knowledge on the ethical and regulatory frameworks guiding AI explainability in health care.
Moderator and speakers

Lara Liss
Chief Privacy and Data Trust Officer
GE HealthCare

Danny Tobey
Partner, Global Co-Chair and Chair, AI and Data Analytics Practice
DLA Piper

Bruna Michele Wozne Godoy
CIPP/E, CIPM, FIP
Responsible AI Global Counsel
GE Healthcare

Nicholas Merker
AIGP, CIPT
Associate Vice President, Assistant General Counsel, Privacy and Cybersecurity
Eli Lilly and Company