FAT* Conference 2018
On February 23, 2018, Kristian Lum spoke about “Understanding the Context and Consequences of Pre-Trial Detention” at the Conference on Fairness, Accountability, and Transparency (FAT*) held at New York University.
She presented with Elizabeth Bender (Decarceration Project at The Legal Aid Society of NYC) and Terrence Wilkerson (entrepreneur).
FAT* is an annual conference dedicating to bringing together a diverse community to investigate and tackle issues in this emerging area. Topics of interest include, but are not limited to:
- The theory and practice of fair and interpretable Machine Learning, Information Retrieval, NLP, and Computer Vision
- Measurement and auditing of deployed systems
- Users’ experience of algorithms, and design interventions to empower users
- The ethical, moral, social, and policy implications of big data and ubiquitous intelligent systems
FAT* builds upon several years of successful workshops on the topics of fairness, accountability, transparency, ethics, and interpretability in machine learning, recommender systems, the web, and other technical disciplines.
Video is available here and on youtube.