Community
Written by: CDO Magazine Bureau
Updated 6:31 PM UTC, Wed November 6, 2024
The rapid adoption of AI, and the media frenzy it often sparks, has highlighted the risks associated with these technologies and the need for a robust governance framework to manage them. Though regulators and industry bodies are publishing guidelines and increasing pressure, the complexity and fast-growing nature of AI means they are often lagging behind the pace of development. The onus falls to organizations to create their own frameworks that ensure that the application of technology is safe, transparent, accountable and ethical.
However, with many teams already leveraging AI, how do you change the wheels on a car already in motion?
This session to explores:
Establishing a new AI governance framework that embeds guardrails across the whole lifecycle without limiting innovation.
Building training into the framework to provide the information, tools, and resources needed to ensure success.
Developing measures to monitor the effectiveness of the framework.
Evaluating systems regularly for positive intent and unethical side-effects to minimize unintended risk and bias.
Moderator:
Mark Johnson, Chief Growth Officer, CoStrategix
Speakers:
Todd Henley, Chief Data Governance and Privacy Officer, Northwest Bank
James McIntyre, CIO, YMCA of Greater Cincinnati
Josette Riep, AVP of IDEAS, Integrated Data Engineering & Application Services, University of Cincinnati
Chris Sibila, Chief Information Officer, Financial Center First CU