Mathematical techniques, such as optimization models, are used for decision-making in a wide variety of application areas, from medical care to congressional districting. Fairness is often an important part of decision-making, but it can be difficult to assess, quantify, and incorporate into mathematical models.

Join the National Academies on Tuesday, June 4 from 1-4pm ET for a webinar focusing on fairness in mathematics. Webinar speakers will discuss metrics for fairness, algorithmic fairness, responsible AI, equitable data acquisition, and more. Speakers will include Hoda Heidari (Carnegie Mellon University), Michael Jones (American Mathematical Society), Ece Kamar (Microsoft), and David Shmoys (Cornell University). A recording of the webinar will be posted to this page following the conclusion of the event.

1:00pm – Introduction
1:05 – Speaker presentations (25 minutes each)
2:45 – Break
3:00 – Panel discussion
4:00 – Adjourn