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You are invited to the next IM Public Lecture. See below and attached poster for details.

The Information Management Public Lectures give attention to exciting advances in research and professional practice. The topics are diverse reflecting the importance and global extent of Information Management in today’s society. The lectures are free of charge and open to all, unless otherwise stated. All 2021-2022 lectures will be held virtually on Microsoft Teams. Click here for the full schedule. Lecture will be recorded and posted on our YouTube channel.

Adopting Responsible AI in Practice

Ashley Casovan
Responsible AI Institute

Lecture details
Monday, November 29th, 2021
5:30 to 6:30pm
Microsoft Teams (click link at above date/time to join)

Abstract: AI & ML have become the frontier for digital transformation. However, many companies are struggling with getting real business value and many ML projects are getting stalled due to risk and compliance concerns around black-box AI and scaling bias. 96% of organizations run into problems with AI and machine learning projects due to lack of trust in data and models across siloed functions according to a Dimensional Research report and 90 percent of all machine learning models never make it into production, according to VentureBeat. This session will discuss the important role of Responsible AI Framework and tools to drive end to end data and model transparency and trust. Topics will include real-life examples and challenges from early adopters on driving Responsible AI implementation to improve AI governance and control and accelerate adoption of Enterprise AI.

Bio: Ashley is an engaged and innovative leader who has always had a deep interest in advancing the public good. Recently leaving her long-standing career in the public service where she was last Director of Data and Digital for the Government of Canada, she has now taken on the role of Executive Director of Responsible AI Institute, a non-profit dedicated to creating practical tools to ensure the responsible use of AI. Throughout her career she has worked at the intersection of innovative technology and data, and its impact on providing better information and services. As a recognized leader in the social tech community she has developed a strong reputation for developing workable governance for data, artificial intelligence, and open source tools. Her work and ability to bring experts together to solve important challenges has led to meaningful change in government and beyond. Her work helps to inform government, industry, and academic research.

She is currently a member of the following initiatives:

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