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Explanations for query results have been the subject of extensive research. The advantages of such explanations are evident, as they allow users to validate and justify the results of the query and deepen their knowledge about the data. However, when the query is proprietary and needs to remain confidential or when the data is cloaked …

Research Seminar: On the Tradeoff Between Explainability and Privacy in Databases Read More »

The research team at R/AI conducted an audit on automated hiring systems used by prominent companies. The main contribution was the development of a socio-technical framework for auditing the stability of algorithmic systems. Read more about our findings in the paper we published at the AIES’22 Conference and our journal paper. Video Presentation:

The ongoing war in Ukraine has displaced hundreds of thousands of people, including many university students. The Ukrainian Catholic University (UCU) in Lviv, has been active in their attempts to keep the students engaged and to allow them to successfully complete the academic year. To support these efforts, NYU’s Center for Responsible AI (R/AI) collaborated …

NYU R/AI Summer Research Program 2022 Read More »

In Spring 2021, the All Aboard project funded by the NSF Northeast Big Data Hub brought together data scientists, disability scholars and activists and social scientists to devise new workflows for making public education on AI and data science more accessible. The group used the existing public education portfolio of the NYU Center for Responsible …

Upcoming: Launch of the All Aboard Primer Read More »

This summer, the NYU Tandon Center for Responsible AI (NYU R/AI) has had the pleasure of hosting 19 Research Fellows from Ukrainian universities in a fully remote 6-week research program.  The Fellows worked on 8 exciting projects on a range of topics, including algorithmic fairness, explainability, data quality, differentially private synthetic data generation, and social …

R/AI Summer Research Showcase ’22 Read More »