Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management
Summary: Introduces a technical research agenda linking data ethics (FAT) to data-management foundations and systems. Emphasizes data quality, provenance, and transparency as central to fair, accountable ML, and outlines the database community's role. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Julia Stoyanovich (Drexel University)
- 2. Bill Howe (University of Washington)
- 3. HV Jagadish (University of Michigan)
BibTeX Citation
@inproceedings{stoyanovich_sigmod18,
title = {{Special Session: A Technical Research Agenda in Data Ethics and Responsible Data Management}},
author = {Stoyanovich, Julia and Howe, Bill and Jagadish, HV},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3205185},
url = {https://dl.acm.org/doi/10.1145/3183713.3205185},
year = {2018}
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