IMPORTANT
Jonathan K. Kummerfeld's talk on "AI Resilient Interfaces for Code Generation and Efficient Reading"
Tuesday, September 10, 2024 · 3 - 4 PM
Abstract:
AI is being integrated into virtually every computer system we use, but
often in ways that mean we cannot see the decisions AI makes for us. If
we don't see a decision, we cannot notice whether we agree with it, and
what we don't notice, we cannot change. For example, using an AI
summarization system means trusting that it has captured all the aspects
of a document that are relevant to you. If the task is high stakes then
the only way to check is to read the original document, but that
significantly decreases the value of the summary. In this talk, I will
present the concept of AI resilient interfaces: systems that use AI
while giving users the information they need to notice and change its
decisions. I will walk through two examples of novel systems that are
more AI resilient than the typical solution to the problem, for (1) SQL
generation, and (2) faster reading. I will conclude with thoughts on the
potential and pitfalls of designing with AI resilience in mind.
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Jonathan K. Kummerfeld is a Senior Lecturer (ie., research
tenure-track Assistant Professor) in the School of Computer Science at
the University of Sydney. He is currently also a DECRA fellow, and
collaborates with a range of academics across the world, including on
DARPA-funded projects on AI agents that communicate. He completed his
Ph.D. at the University of California, Berkeley, and was previously a
postdoc at the University of Michigan, and a visiting scholar at
Harvard. Jonathan’s research focuses on interactions between people and
NLP systems, developing more effective algorithms, workflows, and
systems for collaboration. He has been on the program committee for over
50 conferences and workshops. He currently serves as Co-CTO of ACL
Rolling Review (a peer review system), and is a standing reviewer for
the Computational Linguistics journal and the Transactions of the
Association for Computational Linguistics journal.