Principles and Methods of Responsible AI

Responsible AI - Principles and Methods

Presented By Aonghus McGovern, Ph.D.
Aonghus McGovern, Ph.D.
Aonghus McGovern, Ph.D.
Lead Data Scientist and Ethical AI lead for Enterprise Insight Studio at Accenture

Aonghus completed a Ph.D. focusing on structured representations of unstructured content for the purposes of personalization. His work at Accenture focuses on leveraging advanced analytics and AI to solve challenges faced by Accenture's internal departments. Lately, his work has begun to focus on principles of Responsible AI such as algorithmic fairness.

Presentation Description

In this talk, Aonghus discusses various concepts and methods of Responsible AI practice including the motivation for Responsible AI, core principles applied by the team in which Aonghus works and methods for implementing these principles.

Presentation Curriculum

Responsible AI - Principles and Methods
52:55
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