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Hype, Hope and High Stakes: Ethics of AI in Healthcare (MSH)

February 6 @ 12:00 pm - 1:00 pm

Hype, Hope and High Stakes: Ethics of AI in Healthcare

Melissa McCradden, Junior Bioethicist, The Hospital for Sick Children

 

Date:                     February 6, 2019

Time:                    12 – 1 p.m.

Location:              14th Floor Classroom

 

This presentation will not predict the future. Instead, we will draw on the current state of the science of AI and machine learning (ML) in healthcare to discuss the imminent ethical issues that are relevant to healthcare providers. Drawing from work in the ML field we will explore issues of transparency, considering questions such as: What’s the big deal about the ‘black box’ and how should clinicians navigate these tools? And what should be the role of clinical judgment in the context of ML-based predictions? We will explore the problem of bias (reflecting social inequality) to consider the implications for ML tools at the point-of-care with the goal of supporting clinicians as they interpret predictions with an eye to fairness concerns. Finally, we will consider emerging guidance on evidence-based evaluation of ML tools from a research ethics framework and the novel considerations that must be taken into account when evaluating the safety and efficacy of ML.

Objectives:

  1. Understand the current state of the science with respect to AI at the point-of- care.
  2. Recognize the imminent ethical challenges and explore the values at stake
  3. Identify opportunities for healthcare providers to promote beneficial applications of health AIBrought to you by Bioethics – Becky Greenberg and Peter Allatt


Hype, Hope and High Stakes: Ethics of AI in Healthcare
BBEL is a self-approved group learning activity (Section 1) as defined by the Maintenance of Certification program of The Royal College of Physicians and Surgeons of Canada.

 

 

Details

Date:
February 6
Time:
12:00 pm - 1:00 pm

Organizer

Bioethics

Venue

14th floor Classroom, 600 University
600 University Avenue
Toronto, Ontario M5G 1X5
+ Google Map
Phone:
5361