Please join us for a UW Data Science Seminar event on Thursday, March 2nd from 4:30 to 5:20 p.m. PST. The seminar will feature Besmira Nushi, a Principal Researcher in the Adaptive Systems and Interaction group at Microsoft Research.
Use this zoom link to join
This presentation will be hybrid.
Please join us over zoom, or at the WRF Data Science Studio on the 6th floor of the UW Physics and Astronomy Tower (3910 15th Ave NE, Seattle).
“Responsible AI Mitigations and Tracker: New open-source tools for guiding mitigations in Responsible AI”
Abstract: Responsible AI Toolbox is an open-source effort at Microsoft for accelerating and operationalizing Responsible AI via a set of interoperable tools, libraries, and customizable dashboards. Recently, we released two new tools as part of the toolbox:
- Responsible AI Mitigations: Python library for implementing and exploring mitigations for Responsible AI.
- Responsible AI Tracker: JupyterLab extension for tracking, managing, and comparing Responsible AI mitigations and experiments.
Both tools contribute to supporting a systematic and targeted process of model improvement by identifying, diagnosing, mitigating, and comparing failure modes. During the presentation we will delve into the new tooling additions and will illustrate their functionalities through a hands-on demonstration. In particular, we will show how insights extracted via the Responsible AI Dashboard through the identification and diagnosis stage can then be used to ideate and implement different mitigation techniques via the Responsible AI Mitigations library. Finally, we will also demonstrate how different mitigation techniques can be compared and validated through Responsible AI Tracker directly on JupyterLab.
Biography: Besmira Nushi is a Principal Researcher in the Adaptive Systems and Interaction group at Microsoft Research. Her interests lie at the intersection of human and machine intelligence focusing on Reliable Machine Learning and Human-AI Collaboration. She has made practical and scientific contributions on implementing and deploying Responsible AI tools for debugging and troubleshooting ML systems. Currently, Besmira is leading the research behind several Responsible AI tools for debugging ML systems, such as Responsible AI Toolbox, Error Analysis, and BackwardCompatibilityML.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
The 2022-2023 seminars will be virtual, and are free and open to the public.