The explosive progress of Artificial Intelligence and deep learning systems have given rise to numerous applications in the health care space. Cancer diagnosis, drug discovery and biometric tracking are but some of the areas being tackled through second wave AI. Such applications, however, are fraught with challenging questions around patient privacy, data bias, and ethical decision-making: to what extent are engineers responsible for the behaviour of the life-and-death applications they design?
This timely panel, sponsored by Engineering Alumni Affairs and DarwinAI, will explore the importance of diverse perspectives in addressing such challenges. For example, to what extent should AI be used a collaborative tool in diagnosing critical illnesses? To what extent can a health care professional "learn" from their artificial counterpart? And, to what extent is the "black box" problem in AI a hindrance to such tasks?
Our diverse panel will explore these questions and more. Join us for what promises to be an informative and engaging event. Q&A to follow the panel discussion.
Registration is required for this free event. A pizza lunch will be provided at 11:15 a.m. for those who have registered, with the panel discussion commencing at 11:30 a.m.
200 University Ave West
Waterloo, ON N2L 3G1