Multiple Events

  • Tue, Jan 8, 2019

    "Grace" by Jane Doe (Nightwood Theatre)

    Grace by Jane Doe – January 8-26, 2019 at Streetcar Crowsnest. A Nightwood Theatre production in association with Crow’s Theatre. Directed by Andrea Donaldson, starring Michaela Washburn, Rose Napoli, Brenda Robins and Conrad Coates.

    Exquisitely told in a stunning blend of documentary theatre, striking visual projections and choreography, Grace is a searing piece that ignites a pertinent discussion on the failures and limitations of the legal system. “There was no justice, there was just a legal outcome.” In the wake of a young woman’s disclosure of childhood sexual assault, a family presses charges. A true story about survival, hope, and the pursuit of justice at a time when provability still usurps truth in our courtrooms.

    ☛ tickets $25-$40 at crowstheatre.com.

    co-sponsored by, among others:

    Centre for Ethics, University of Toronto

    04:00 PM - 06:00 PM
    Streetcar Crowsnest
    345 Carlaw Avenue

  • Tue, Jan 8, 2019
    Ethics of AI in Context
    Ethics of AI in Context: Sunit Das et al.

    Artificial Intelligence, Medical Diagnostics and the Limits of Certainty

    It is estimated that physicians are unable to reach a diagnosis that accounts for their patient’s symptoms in nearly 90% of outpatient patient encounters. Many proponents of artificial intelligence (AI) look to the movement from data gathering to diagnosis as limited by the finite nature of human analytic capability, and consider AI as a mechanism by which to refine this process. This leads us to two divergent perceptions of uncertainty in decision-making. On one hand, some view uncertainty as a bug and argue that optimal decision-making is based on the minimization of uncertainty. On the other hand, uncertainty can be taken as a core feature of the decision-making process in an attempt to weigh various solutions against one another. Here, we make the argument, using the experiences of IBM Watson on Jeopardy! and Watson for Oncology as examples, that the latter is a more likely explanation. This conclusion has significant implications for how we are to understand the integration of artificial intelligence into medical practice.

    ☛ please register here

    Vinyas Harish, University of Toronto Faculty of Medicine
    Felipe Morgado, University of Toronto Faculty of Medicine
    Sunit Das, University of Toronto Faculty of Medicine, Division of Neurosurgery, St. Michael’s Hospital & Centre for Ethics, University of Toronto
    04:00 PM - 06:00 PM
    Centre for Ethics, University of Toronto
    200 Larkin