Responsible AI: Advancing Trustworthy Innovation in Healthcare
The rapid adoption of AI in healthcare brings a responsibility to manage it in ways that not only produce lifesaving value but are also safe, trustworthy, transparent, and inclusive. As AI expands into almost every aspect of the healthcare continuum, the impact of trustworthiness of AI can be felt not just in technology uptake and adoption, but in the decision-making processes that utilize AI.
Join Iksha Herr, Managing Director, Data & AI, Microsoft US Healthcare & Life Sciences; Tom Lawry, Chief Artificial Intelligence Officer, Microsoft US Health & Life Sciences; and Muhammed Ahmed, Principal Data Science Researcher, Kensci, for a discussion on assessing the trustworthiness of AI solutions in healthcare, including maturity criteria, tools and protocols, success stories and learnings from set-backs.
In this panel discussion, you will learn:
What is Responsible AI
Trustworthiness assessment frameworks and best practices
Advancing AI in healthcare through ethical principles that put people first
Last-mile adoption challenges and real-world use cases
Speakers:
Muhammad Aurangzeb Ahmad, PhD, Principal Data Science Researcher
KenSci Iksha Herr, Managing Director, Data & AI, Healthcare & Life Sciences, Microsoft
Tom Lawry, Chief Artificial Intelligence Officer, US Health & Life Sciences, Microsoft