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Designing Trustworthy AI: A User Experience (UX) Framework

Webcast
This webcast introduced a new user experience (UX) framework to guide the creation of AI systems that are accountable, de-risked, respectful, secure, honest and usable.
Publisher

Software Engineering Institute

DOI (Digital Object Identifier)
10.1184/R1/12198321.v1

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Abstract

Artificial intelligence (AI) holds great promise to empower us with knowledge and scaled effectiveness. To harness the power of AI systems, we can—and must—ensure that we keep humans safe and in control. This session will introduce a new user experience (UX) framework to guide the creation of AI systems that are accountable, de-risked, respectful, secure, honest and usable.
 

About the Speaker

Headshot of Carol Smith.

Carol J. Smith

Carol Smith is a principal research scientist in the Software Engineering Institute’s (SEI’s) Artificial Intelligence (AI) Division leading research and development focused on improving user experiences (UX) and interactions with the nation’s AI systems, robotics, and other complex and emerging technologies. Smith’s research encompasses human-computer interaction (HCI), cognitive psychology, UX, …

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