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Monday, November 9 • 3:30pm - 4:00pm
Poster: Characterizing and Detecting Mismatch in ML-Enabled Systems

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Dr. Grace Lewis
Characterizing and Detecting Mismatch in ML-Enabled Systems

We propose to develop machine-readable ML-Enabled System Element Descriptors as a mechanism to enable mismatch detection and prevention in ML-enabled systems. The goal of the descriptors is to codify attributes of system elements and therefore make all assumptions explicit. The descriptors can be used by system stakeholders in a manual way, for information, awareness and evaluation activities; and by automated mismatch detectors at design time and runtime for cases in which attributes lend themselves to automation.

avatar for Dr. Grace A. Lewis

Dr. Grace A. Lewis

Principal Researcher / TAS Initiative Lead, CMU SEI
Read Grace's recent blog "Detecting Mismatches in Machine-Learning Systems" at https://insights.sei.cmu.edu/sei_blog/2020/06/detecting-mismatches-in-machine-learning-systems.html. Contact Grace via https://www.sei.cmu.edu/contact-us/index.cfm?f=Grace&l=Lewis

Monday November 9, 2020 3:30pm - 4:00pm EST