The AI Trust Gap Creating Transparency, Explainability and Confidence in Artificial Intelligence
Artificial intelligence involves a fear of the unknown. In order to tap into the potential that AI creates, leaders need to be confident that algorithms are creating accurate and unbiased results. During this conversation, we’ll sit down with experts to discuss how to create transparency and better understand the algorithms and models that guide AI, as well as best practices for avoiding bias and building trust in outcomes.
Taka Ariga, Chief Data Scientist and Director of Innovation Lab at the United States Government Accountability Office
Anil (Neil) Chaudhry, Director; Regulatory Audit Systems and Innovation, Office of Trade, U.S. Customs and Border Protection
Chuck Howell, Chief Scientist for Dependable Artificial Intelligence, MITRE
Moderator: Kirke Everson, Principal and Government Intelligent Automation Leader, KPMG