11-07, 13:25–14:10 (US/Eastern), Central Park West
This session will delve into the transformative potential of artificial intelligence (AI) within the healthcare and life sciences (HCLS) sectors. As technological innovations, including generative AI, evolve rapidly and regulatory pathways remain unclear, the industry is at the forefront of adopting trustworthy AI and setting the standards to drive innovation, optimize operational efficiencies, and enhance health outcomes.
Attendees will gain insights into the challenges and opportunities associated with implementing responsible AI to lead innovations in a rapidly changing regulatory environment and how a historically highly regulated industry responds to it. Dr. Hsueh will begin by covering the latest advancements and key areas where AI technology is gaining traction in the HCLS sectors. She will then delve into the critical importance of ethical AI practices and emerging standards, discussing how the field is evolving to ensure that AI not only accelerates medical breakthroughs but also upholds fairness, transparency, and accountability across the AI/ML lifecycle in use cases across the drug pipeline and healthcare delivery. This session provides an opportunity for computing professionals to understand the current thinking of industry leaders and engage in the discourse shaping the future of AI in healthcare and life sciences.
No previous knowledge expected
Dr. Sabrina Hsueh is an accomplished Ethical AI and External Innovation Lead at Pfizer, where she spearheads the development and implementation of AI strategies. With a focus on AI observability, guardrails, and governance, Dr. Hsueh champions equitable AI in healthcare across enterprises such as IBM and Pfizer, as well as start-ups in the A16z and Khosla Ventures portfolios. Dr. Hsueh leads industrial AI standard-setting initiatives with public-private partnerships and professional societies. She also serves on the ACM Practitioners’ Board, co-chairs the Women in AMIA steering committee and co-founded an international work group to address global women’s health gaps and drive diversity and inclusion in informatics. Her dedication to leveraging informatics and AI evaluation has led to over 80 technical publications, patents, and co-edited special issues in reputable journals and textbooks (e.g., Personal Health Informatics by Springer Nature). Dr. Hsueh's commitment to ethical AI and her leadership in AI standardization make her a sought-after speaker and consultant, winning awards and nominations across the fields as a Responsible AI leader in HCLS, paving the way for a more trustworthy adoption of AI technologies in a dynamic regulatory landscape.