Event

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Conference on Fairness, Accountability, and 
Transparency (FAT*)

A multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency in socio-technical systems.

Saturday, February 24, 2018

11am- 12pm, Session 3: Fairness in Computer Vision and NLP

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Joy Buolamwini (MIT), Timnit Gebru (Microsoft Research)

Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies
Nishtha Madaan, Sameep Mehta (IBM Research), Taneea Agrawaal, Vrinda Malhotra, Aditi Aggarwal (IIIT- Delhi), Yatin Gupta (MSI Delhi), Mayank Saxena (DTU Delhi)

Mixed Messages? The Limits of Automated Social Media Content Analysis
Natasha Duarte, Emma Llanso (Center for Democracy & Technology), Anna Loup (University of Southern California)

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