This timely panel discussion did not air during Microsoft Research Summit 2022 but was released during the event as part of the Microsoft Health Futures Forum.

AI and ML technologies have the potential to truly transform health and life sciences research. However, making sure that AI systems are developed and deployed responsibly, equitably, and ethically, is one of the toughest challenges facing AI practitioners. As we’ve seen in countless media articles, AI systems have the potential to behave unfairly or unreliably. They can generate potentially harmful predictions, and they can reproduce or exacerbate existing social inequities. And, they can be very difficult to understand.

Many questions arise when we consider the deployment of AI into clinical settings. For example, what guiding principles are needed to guide the deployment and monitoring of AI and ML in healthcare? How best can we regulate AI systems? And, what are the ways in which we can engage the broader community as AI technologies are used in health and life sciences research?

In today’s session, we’ve arranged a chat with three amazing leaders in the field, who come from a mix of regulator, innovator, researcher, and clinical backgrounds – Amy Abernathy (President of Clinical Studies Platforms at Alphabet’s Verily), Trishan Panch (physician, entrepreneur, academic at Harvard TH Chan school of Public Health), and Dame June Raine (CEO of the MHRA, UK)

Related links:

• Microsoft’s approach to AI
• Research Collection: Research Supporting Responsible AI
• Publication | Software and AI as a Medical Device Change Programme