Events

Past Event

Addressing Algorithmic Harms: Practices and Provocations for Health AI

May 13, 2022
12:00 PM - 1:00 PM
Online

Event Description

Unique threats to patient safety and well-being from artificial intelligence (AI) in health care applications, such as bias, are now well-recognized. At the same time, policy makers and regulators are grappling with the challenges of evaluating and regulating AI-based technologies in order to minimize these threats. Some potential harms arise from characteristics inherent in the technology, such as the “black box” nature of some machine learning, or the limitations of using AI to infer causation. Others arise from messy, incomplete, or unrepresentative datasets. Some of these challenges can be addressed technologically, while for others these ‘fixes’ may exacerbate the biases they intend to prevent. Others, still, will be reliant on systemic changes. This panel will discuss innovative regulatory, policy, and other approaches to minimizing harms to patients from health care AI.

Event Speakers

Please visit the event webpage for speaker information.

Event Information: 

Free and open to the public; registration required. For more information, please visit the event webpage

Hosted by the Center for ELSI Resources and Analysis at Columbia University as part of the ELSI Friday Forum series.