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A Framework for Thinking about Human-AI Communication: Challenges and Affordances for Figuring Out What We Want and Communicating it to Computers

09 Dec
Friday, 12/09/2022 12:00pm to 1:00pm
Lederle Graduate Research Center, Room A311
Systems Lunch

While we don't always use words, communicating what we want to a computer, especially an artificially intelligent one, is a conversation--with ourselves as well as with it, a recurring loop with optional steps depending on the complexity of the situation and our potentially evolving understanding of what we want. I will present a framework for thinking about these interactions, illustrated with examples from recent publications on novel interactive systems. Time permitting, I will describe relevant theories from psychology and learning sciences that have design implications for future interface and interactive system design--to maximize the bidirectional speed and accuracy of human intent formation and human-AI communication.

Elena L. Glassman is an Assistant Professor of Computer Science at the Harvard Paulson School of Engineering & Applied Sciences, specializing in human-computer interaction. She recently served as the Stanley A. Marks & William H. Marks Professor at the Radcliffe Institute for Advanced Study. At MIT, she earned a PhD and MEng in Electrical Engineering and Computer Science and a BS in Electrical Science and Engineering. Before joining Harvard, she was a postdoctoral scholar in Electrical Engineering and Computer Science at the University of California, Berkeley, where she received the Berkeley Institute for Data Science Moore/Sloan Data Science Fellowship.