{"id":6,"date":"2019-01-31T21:32:07","date_gmt":"2019-01-31T21:32:07","guid":{"rendered":"http:\/\/groups.cs.umass.edu\/equate\/?page_id=6"},"modified":"2019-03-12T15:22:41","modified_gmt":"2019-03-12T15:22:41","slug":"people","status":"publish","type":"page","link":"https:\/\/groups.cs.umass.edu\/equate\/people","title":{"rendered":"People"},"content":{"rendered":"
<\/span>
<\/div><\/a>
Yanlei<\/span> Diao<\/span><\/div>
Explainability in Data Analysis<\/div>
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<\/div><\/a>
Yuriy<\/span> Brun<\/span><\/div>
Safe and Fair Machine Learning, Engineering Fair Systems<\/div>
<\/div><\/div><\/div><\/span>
<\/div><\/a>
Przemyslaw<\/span> Grabowicz<\/span><\/div>
Non-Discriminatory Decision-Making, Fair Machine Learning<\/div>
<\/div><\/div><\/div><\/div><\/span>
<\/div><\/a>
Laura<\/span> Haas<\/span><\/div>
Explainability in Data Integration<\/div>
<\/div><\/div><\/div><\/span>
<\/div><\/a>
Neil<\/span> Immerman<\/span><\/div>
Explainability in Data Analysis<\/div>
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<\/div><\/a>
David<\/span> Jensen<\/span><\/div>
Explainability in Data Analysis<\/div>
<\/div><\/div><\/div><\/span><\/div><\/span>
<\/div><\/a>
Erik<\/span> Learned-Miller<\/span><\/div>
Computer Vision<\/div>
<\/div><\/div><\/div>
<\/div><\/a>
Narges<\/span> Mahyar<\/span><\/div>
Public Policy<\/div>
<\/div><\/div><\/div><\/span>
<\/div><\/a>
Alexandra<\/span> Meliou<\/span><\/div>
Engineering Fair Systems, Data Diversity, Explainability in Data Analysis<\/div>
<\/div><\/div><\/div><\/div><\/span>
<\/div><\/a>
Gerome<\/span> Miklau<\/span><\/div>
Balancing Privacy and Fairness, Data Diversity<\/div>
<\/div><\/div><\/div><\/span>
<\/div><\/a>
Brendan<\/span> O'Connor<\/span><\/div>
Disparities in Natural Language Processing<\/div>
<\/div><\/div><\/div>
<\/div><\/a>
Philip<\/span> Thomas<\/span><\/div>
Safe and Fair Machine Learning<\/div>
<\/div><\/div><\/div><\/span><\/div><\/span>
<\/div><\/a>
Laure<\/span> Thompson<\/span><\/div>
Explainability in Data Analysis, Safe and Fair Machine Learning<\/div>
<\/div><\/div><\/div>
<\/div><\/a>
Michelle<\/span> Trim<\/span><\/div>
Ethics Education<\/div>
<\/div><\/div><\/div><\/span>
<\/div><\/a>
Yair<\/span> Zick<\/span><\/div>
Safe and Fair Machine Learning, Engineering Fair Systems, Balancing Privacy and Fairness, Data Diversity, Explainability in Data Analysis<\/div>
<\/div><\/div><\/div><\/div><\/span>
<\/div><\/a>
Shlomo<\/span> Zilberstein<\/span><\/div>
Safe and Fair Machine Learning<\/div>
<\/div><\/div><\/div>
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