Institute for Assured Autonomy Seminar Speaker: Knowing What AI Systems Don't Know and Why it Matters

Description

James Hendler, the director of the Institute for Data Exploration and Applications and a professor of computer, web, and cognitive sciences at the Rensselaer Polytechnic Institute, will give a talk entitled "Knowing What AI Systems Don't Know and Why it Matters" for the Johns Hopkins Institute for Assured Autonomy and the Department of Computer Science.

Abstract:

The meteoric rise in performance of modern AI raises many concerns when it comes to autonomous systems, their use, and their ethics. In this talk, Jim Hendler reviews some of the challenges emerging, with a particular emphasis on one of the issues faced by current deep learning technology (including neural symbolic approaches) – how do AI systems know what they don't know? Hendler avoids the generic issue, which has been raised by philosophers of AI, and looks more specifically at where the failures are coming from. The limitations of current systems, issues such as 'personalization' that increase the challenge, and some of the governance issues that arise from these limitations will be covered.

Please attend the event by using the Zoom link (password: 962515).

Learn more about the speaker online.

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