ML Symposium on Justice in Healthcare, Education, and Public Policy

 We welcome thinkers, practitioners, and builders of machine learning (ML) tools, metrics, and theories who center development and implementation on justice. While not traditionally embedded in ML design, justice is essential for developing algorithms and tools that are both truly accurate and equitable. The goal of this conference is to highlight the importance of justice in ML design and implementation. We particularly focus on the development and deployment of ML tools that promote a society where individuals receive what they need to overcome barriers to their participation as active and free members of society. This diverges from ideas of fairness, which focus solely on equity and equality without regard to removing barriers to free and full participation.

Ways to Participate:

You are welcome to register for the conference prior to Sept 24 2026. On-site registration will not be allowed.

Please submit long abstracts for oral presentations (1 page), abstracts for student lightning talks (max 1 page), and workshop (2 pages) ---- all submissions are non-archival and reviews will be double-blind. 

Students may sign up for the hackathon in teams of 4; teams may not be changed any later than 1 week before the conference, except due to approved emergencies.