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Designing Trustworthy AI

April 2020 Podcast
Carol J Smith

Carol Smith discusses a framework that builds upon the importance of diverse teams and ethical standards to ensure that AI systems are trustworthy and able to effectively augment warfighters.

“The work I am doing is to understand the problem at its source. So, what is the individual who is going to interact with the system, an analyst or a warfighter, whoever it is, really trying to understand their point of view, their mindset, and then bring that information back to make sure that we are building the right thing and building it in the right way.”

Publisher:

Software Engineering Institute

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Abstract

As a senior research scientist in human-machine interaction at the SEI’s Emerging Technology Center, Carol Smith works to further understand how humans and machines can better collaborate to solve important problems and also understand our responsibilities and how that work continues once AI systems are operational. In this podcast Smith discusses a framework that builds upon the importance of diverse teams and ethical standards to ensure that AI systems are trustworthy and able to effectively augment warfighters in the Department of Defense.

About the Speaker

Carol J Smith

Carol J Smith

Carol Smith is a senior research scientist in human-machine interaction with the Emerging Technology Center (ETC) Division at Carnegie Mellon University’s Software Engineering Institute (SEI). In this ...

Carol Smith is a senior research scientist in human-machine interaction with the Emerging Technology Center (ETC) Division at Carnegie Mellon University’s Software Engineering Institute (SEI). In this role Smith contributes to research and development focused on improving user experiences (UX) and interactions with the nation’s artificial intelligence (AI) systems, robotics, and other emerging technologies. Smith’s research includes human-computer interaction, cognitive psychology, ethics, and human-machine teaming.Smith is also an adjunct instructor for Carnegie Mellon University’s Human-Computer Interaction Institute where she has taught both bachelor and master’s level courses. Smith served two terms on the User Experience Professionals Association (UXPA) international board, is a contributor to the IEEE 7008 working group, an editor for the Journal of Usability Studies and an editor for the upcoming Association for Computing Machinery Digital Threats: Research and Practice journal’s Special Issue on Human-Machine Teaming.Prior to joining the SEI, Smith spent 19 years working in industry, conducting user experience research to improve the human experience and has been working to improve AI systems since 2015. Most recently as senior UX researcher for autonomous vehicle experiences at Uber ATG and senior design manager
and Discovery Tribe leader at IBM’s Watson. Smith holds a master’s degree in Human-Computer Interaction from DePaul University.

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