基本信息
浏览量:96
职业迁徙
个人简介
Her research focuses on the fairness and interpretability of machine learning algorithms, with applications from criminal justice to materials discovery.
Sorelle is a Co-Founder and former Executive Committee Member of the ACM Conference on Fairness, Accountability, and Transparency (FAT*) as well as a former Program Committee Co-Chair of FAT* and FAT/ML. She has received a Mozilla grant, Fellowship, and NSF grant for her work on preventing discrimination in machine learning. Her work on this topic has been featured in IEEE Spectrum, Gizmodo, and NBC News and she has been interviewed about algorithmic fairness by the Guardian, Bloomberg, and NPR.
Sorelle is a Co-Founder and former Executive Committee Member of the ACM Conference on Fairness, Accountability, and Transparency (FAT*) as well as a former Program Committee Co-Chair of FAT* and FAT/ML. She has received a Mozilla grant, Fellowship, and NSF grant for her work on preventing discrimination in machine learning. Her work on this topic has been featured in IEEE Spectrum, Gizmodo, and NBC News and she has been interviewed about algorithmic fairness by the Guardian, Bloomberg, and NPR.
研究兴趣
论文共 59 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2023): 9058-9069
引用0浏览0EI引用
0
0
ACM Conference on Fairness, Accountability and Transparency (FAccT)pp.1765-1775, (2022)
SIGCSEpp.1049-1050, (2022)
Venkateswaran Shekar, Vincent Yu, Benjamin J. Garcia, David Benjamin Gordon,Gemma E. Moran,David M. Blei, Loïc M. Roch, Alberto García-Durán,Mansoor Ani Najeeb, Margaret Zeile,Philip W. Nega,Zhi Li,
crossref(2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn