The first Black in AI event will take place at NIPS 2017. The goal is to gather people in the field to share ideas and discuss initiatives to increase the presence of Black people in the field of artificial intelligence, for both diversity and data bias prevention purposes. At this workshop, Black researchers in AI will also have the opportunity to present their work during our oral and poster sessions.
While NIPS is currently sold out, you do not need to register for NIPS in order to attend or present at our Black in AI workshop. Some travel stipends are available to those interested in attending, apply here.
Engage with us
Potential presenters are welcome to submit their work, including theoretical, empirical, and applied work in machine learning and artificial intelligence. Work may be previously published, completed, or ongoing. Submissions will be peer-reviewed by at least two reviewers. The presenter must be a Black researcher in AI, and does not need to be first author.
Submissions can be up to two-page abstracts and must state the research problem, motivation, and technical contribution. Submissions must be self-contained and include all figures, tables, and references.
Rediet Abebe, Cornell University
Sarah M. Brown, University of California, Berkeley
Mouhamadou Moustapha Cisse, Facebook AI Research
Timnit Gebru, Microsoft Research
Sanmi Koyejo, University of Illinois, Urbana-Champaign