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.
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