Julia Stoyanovich

New York University — United States

Social Sciences · Social Sciences

27h-index2.9kcitations194works1.32yr avg
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Research Topics

Ethics and Social Impacts of AI(59), Privacy-Preserving Technologies in Data(30), Data Management and Algorithms(29), Advanced Database Systems and Queries(27), Explainable Artificial Intelligence (XAI)(26)

Publications194 total

How Much Effort Is Enough? Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
2025Open Access
From Benchmarking to Understanding FairML
Frontiers in artificial intelligence and applications·2025· 1 citedOpen Access
ShaRP: Explaining Rankings and Preferences with Shapley Values
Proceedings of the VLDB Endowment·2025
SHAP-based Explanations are Sensitive to Feature Representation
2025· 6 citedOpen Access
CREDAL: Close Reading of Data Models
2025Open Access
ONION: A Multi-Layered Framework for Participatory ER Design
2025Open Access
Estimating the impact of the Russian invasion on the displacement of graduating high school students in Ukraine
Humanities and Social Sciences Communications·2025Open Access
VirnyFlow: A Design Space for Responsible Model Development
arXiv (Cornell University)·2025Open Access
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation
Proceedings of the VLDB Endowment·2025
Promoting transparency in AI for biomedical and behavioral research
Nature Medicine·2025· 6 cited
The Cambridge Report on Database Research
arXiv (Cornell University)·2025· 1 citedOpen Access
We Are AI: Taking Control of Technology
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Using Case Studies to Teach Responsible AI to Industry Practitioners
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
"Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom
arXiv (Cornell University)·2025Open Access
Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
2025Open Access
Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
arXiv (Cornell University)·2025Open Access
SAFENUDGE: Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
2025· 1 citedOpen Access
Making Transparency Advocates: An Educational Approach Towards Better Algorithmic Transparency in Practice
arXiv (Cornell University)·2024Open Access
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Ke Yang(10), Bill Howe(8), Serge Abiteboul(7), Gerome Miklau(6), Sebastian Schelter(6), H. V. Jagadish(5), Susan B. Davidson(5), Tova Milo(5), Val Tannen(4), Abolfazl Asudeh(4), Meike Zehlike(4), H. V. Jagadish(3), Andrew Bell(3), Sihem Amer-Yahia(3), Stefan Grafberger(3), Benny Kimelfeld(3), Haoyue Ping(2), Oded Nov(2), Sanjeev Khanna(2), Sudeepa Roy(2)