Human+AI Collaboration: Improving the FATE of High Stakes Decision Making


Kori Inkpen

Principal Researcher, Microsoft

Friday, November 30, 2018 - 1:30pm to 2:30pm
Newell-Simon Hall 1305 (Michael Mauldin Auditorium)
Seminar Video

What do telepresence and bias have in common?  Not much. After 20+ years of thinking about how to help people connect and engage with others over time and distance,  I have recently become drawn to issues of “Fairness, Accountability, Transparency and Ethics” (FATE) and the impact that Artificial Intelligent (AI) systems can have on high stakes societal decisions.  As the use of AI systems grows in society, so too does the ethical implications of their use, and recent research has been highlighting both the benefits and risks that AI systems can pose.  While this has become an important area of research within the machine learning community, the role of humans in this process is also critical.  HCI and AI researchers need to come together to find solutions that leverage the strengths of both humans and algorithms in new ways. This talk will share new ideas I have begun to pursue in the area of Human+AI collaboration for high stakes decision making and why HCI research will be critical for the success of AI systems.  

Speaker's Bio

Dr. Kori Inkpen is a Principal Researcher at Microsoft Research and Manager of the Social Technologies Research Group. Over the years her work has focused on how video is changing the way we engage and communicate with others, and the potential it offers to transform the way we interact with friends, families, colleagues, and strangers. Her research interests are in the fields of Computer-Supported Cooperative Work and Human-Computer Interaction and exploring next generation computing to connect people in new ways. More recently she has also teamed up with leading Artificial Intelligence Researchers to explore ways to leverage the strengths of both Humans and Artificial Intelligence to  enhance human decision making, especially in high-stakes contexts. She is passionate about exploring wants to reduce bias and improve fairness as society shifts to have more reliance on AI technology. Prior to joining Microsoft she was a professor of Computer Science at Dalhousie University (2001-2007) and Simon Fraser University (1998-2001).

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