Bi-Weekly Seminar Series

Seminars are bi-weekly, on Thursdays at 12pm ET (more time zones) and last 90 minutes.

To receive announcements of upcoming seminars, join our mailing list or subscribe to our YouTube. To participate in Zoom, locate the registration link below (posted a few days before the seminar). If you are interested in giving a talk, contact trustworthyml@gmail.com.

FORMAT and instructions

The seminars will take place in Zoom Webinar; some may be recorded and live-streamed to YouTube.

Each seminar typically follows one of these formats:

  • 40-min talk, followed by 20-min Q&A and moderated chat on the speaker's journey in ML and research process, then 25-min participant-driven discussion.

  • Rising Star Spotlights: Two talks of 30 mins each, including Q&A, then 25-min participant-driven discussion.

  • Industry Spotlights: Two talks of 20 mins each, then 30-min panel and Q&A with speakers.

Our hope is that the participant-driven discussion helps participants meet new people working in similar research areas, while the panel helps participants learn about what it's like to work in trustworthy ML in industry.

By participating in the seminar, you agree to abide by the Code of Conduct. Please report any issues to trustworthyml@gmail.com.

Joining Zoom: There is a limit of 100 participants in Zoom, first-come-first-serve; registering does not guarantee you a spot. You can join Zoom by clicking the link in your registration confirmation email shortly before the seminar starts. We recommend downloading and installing Zoom in advance.

Live-stream and recording: If Zoom reaches capacity, please watch the YouTube live-stream and check Zoom again in case spots open up. If you do not wish to appear in the live-stream and recording, please only join Zoom in the second hour. You can find recordings of previous seminars here.

Participate: In Zoom, you will be muted during the talk however you can ask questions using Zoom's Q&A tool. You can also upvote and leave comments on questions. The moderator will select questions, and may call on you to ask yours. You will be un-muted during participant-driven discussion. You can use Twitter to continue the conversation after the seminar.

UPCOMING SEMINARS

Click to see abstract, bio, registration link, and Twitter thread. Click here to see the recordings of the past seminars.

Sep 16, 2021: Sherri Rose, Stanford University

Fair Machine Learning for Continuous Outcomes in Risk Adjustment

It is well-known in health policy that financing changes can lead to improved health outcomes and gains in access to care. More than 50 million people in the U.S. are enrolled in an insurance product that risk adjusts payments, and this has huge financial implications—hundreds of billions of dollars. Unfortunately, current risk adjustment formulas are known to undercompensate payments to health insurers for certain marginalized groups of enrollees (by underpredicting their spending). This incentivizes insurers to discriminate against these groups by designing their plans such that individuals in undercompensated groups will be less likely to enroll, impacting access to health care for these groups. We will discuss new fair statistical machine learning methods for continuous outcomes designed improve risk adjustment formulas for undercompensated groups. Then, we combine these tools with other approaches (e.g., leveraging variable selection to reduce health condition upcoding) for simplifying and improving the performance of risk adjustment systems, while centering fairness. Lastly, we discuss the paucity of methods for identifying marginalized groups in risk adjustment, and more broadly in the algorithmic fairness literature, including groups defined by multiple intersectional attributes. Extending the concept of variable importance, we construct a new measure of "group importance" to identify groups defined by multiple attributes. This work provides policy makers with a tool to uncover incentives for selection in insurance markets and a path towards more equitable health coverage. (Joint work with Anna Zink, Harvard & Tom McGuire, Harvard.)

Zoom registration: https://us02web.zoom.us/webinar/register/WN_x8nHs8OTQlODVbecZ5mWow

YouTube live-stream and recording: https://youtu.be/mTqQbsvgQSw

Sep 30, 2021: Sanmi Koyejo, University of Illinois at Urbana-Champaign

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Oct 14, 2021 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Oct 28, 2021: One-Year Anniversary Special Event with Montreal AI Ethics Institute

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Nov 11, 2021: Nicholas Carlini, Google Brain

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Nov 18, 2021: TBA

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Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Dec 9, 2021 Social

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Dec 16, 2021 TBA

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Jan 6, 2022 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Jan 20, 2022: Been Kim, Google Brain

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Feb 3, 2022: TBA

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Feb 17, 2022: TBA

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Mar 3, 2022 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Mar 17, 2022: TBA

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Mar 31, 2022: TBA

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Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Apr 14, 2022: TBA

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Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Apr 28, 2022 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.