Home /  Introductory Workshop: Algorithms, Fairness, and Equity

Workshop

Introductory Workshop: Algorithms, Fairness, and Equity August 28, 2023 - September 01, 2023
Registration Deadline: September 01, 2023 10 months ago
To apply for Funding you must register by: July 02, 2023 12 months ago
Parent Program:
Location: SLMath: Eisenbud Auditorium, Atrium
Organizers Vincent Conitzer (Carnegie Mellon University), LEAD Moon Duchin (Tufts University), Wesley Pegden (Carnegie Mellon University), Dana Randall (Georgia Institute of Technology), LEAD Soledad Villar (Johns Hopkins University)
Speaker(s)

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Description
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Image generated by an AI process.
In this workshop, we will bring together speakers who are engaged in the active areas of scholarship around algorithmic fairness, the disparate impacts of facially impartial systems, and the ways that algorithms can be enmeshed in governance and decisionmaking—for better and worse.  The speakers will introduce themes that will be picked up throughout the semester program on "Algorithms, Fairness, and Equity." Bibliography ID: 991 1577 3206 Passcode: 011731 Link: https://msri.zoom.us/j/99115773206?pwd=czkwei83SDJsZFZ1Tnp1ZUg2a01iUT09  
Keywords and Mathematics Subject Classification (MSC)
Tags/Keywords
  • Algorithms

  • Fairness

  • mechanism design

  • graphs and networks

  • machine learning

  • classification

  • policy

  • social choice

  • computation

Primary Mathematics Subject Classification
Secondary Mathematics Subject Classification No Secondary AMS MSC
Funding & Logistics Show All Collapse

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To apply for funding, you must register by the funding application deadline displayed above.

Students, recent PhDs, women, and members of underrepresented minorities are particularly encouraged to apply. Funding awards are typically made 6 weeks before the workshop begins. Requests received after the funding deadline are considered only if additional funds become available.

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For information about recommended hotels for visits of under 30 days, visit Short-Term Housing. Questions? Contact coord@slmath.org.

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Schedule, Notes/Handouts & Videos
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Aug 28, 2023
Monday
09:00 AM - 09:15 AM
  Welcome
09:30 AM - 10:30 AM
  Measuring Our Chances: Risk Prediction in this World and its Betters
Cynthia Dwork (Harvard University)
10:30 AM - 11:00 AM
  Break
11:00 AM - 12:00 PM
  Pretrial Risk Assessment on the Ground: Lessons from New Mexico
Cristopher Moore (Santa Fe Institute)
12:00 PM - 01:30 PM
  Lunch
01:30 PM - 02:30 PM
  Included-Variable Bias and Everything but the Kitchen Sink
Sharad Goel (Harvard University)
02:30 PM - 03:00 PM
  Afternoon Tea
Aug 29, 2023
Tuesday
09:30 AM - 10:30 AM
  The Complex Systems View of AI Ethics
Tina Eliassi-Rad (Northeastern University)
10:30 AM - 11:00 AM
  Break
11:00 AM - 12:00 PM
  New Challenges in Optimization for Ethical Decisions
Swati Gupta (Massachusetts Institute of Technology)
12:00 PM - 01:30 PM
  Lunch
01:30 PM - 02:30 PM
  Thinking Critically About Fair Clustering: Past, Present, and Future
Brian Brubach (Wellesley College)
02:30 PM - 03:00 PM
  Afternoon Tea
03:00 PM - 04:00 PM
  Fair Clustering and Polling Places
Kristian Lum (University of Chicago)
04:00 PM - 06:20 PM
  Reception
Aug 30, 2023
Wednesday
09:30 AM - 10:30 AM
  Tradeoffs in Machine Learning
Yaim Cooper (University of Notre Dame)
10:30 AM - 11:00 AM
  Break
11:00 AM - 12:00 PM
  Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI
Donald Martin (Google, Inc.)
12:00 PM - 01:30 PM
  Lunch
01:30 PM - 02:30 PM
  Geometry of Deep Learning and Explainable ML
Anders Karlsson (University of Geneva)
02:30 PM - 03:00 PM
  Afternoon Tea
03:00 PM - 04:00 PM
  Estimating and Controlling for Fairness via Sensitive Attribute Predictors
Jeremias Sulam (Johns Hopkins University)
Aug 31, 2023
Thursday
09:30 AM - 10:30 AM
  Manipulation-Robust Citizens' Assembly Selection
Bailey Flanigan (Carnegie Mellon University)
10:30 AM - 10:35 AM
  Group Photo
10:35 AM - 11:00 AM
  Break
11:00 AM - 12:00 PM
  Markov Chains and Redistricting
Sarah Cannon (Claremont McKenna College)
12:00 PM - 01:30 PM
  Lunch
01:30 PM - 02:30 PM
  Complexity of Cake Cutting
Simina Branzei (Purdue University)
02:30 PM - 03:00 PM
  Afternoon Tea
03:00 PM - 04:00 PM
  Fair Division Using Topological Combinatorics
Francis Su (Harvey Mudd College)
Sep 01, 2023
Friday
09:30 AM - 10:30 AM
  Values and Fairness Definitions: Classification, Networks, and Policy
Sorelle Friedler (Haverford College)
10:30 AM - 11:00 AM
  Break
11:00 AM - 12:00 PM
  What We Owe Those For Whom We Build: Legal, Ethical and Practical Considerations for Engineering Responsibility in Machine Learning
Inioluwa Raji (University of California, Berkeley)
12:00 PM - 01:30 PM
  Lunch
01:30 PM - 02:30 PM
  Hidden Policy Choices in Modeling
Aaron Horowitz (American Civil Liberties Union)
02:30 PM - 03:00 PM
  Afternoon Tea
03:00 PM - 04:00 PM
  Discussion