The Responsibility Challenge for Data
Summary: Panel on the responsibility challenge for data: fairness, governance, and societal impacts across the data lifecycle, not just models. Proposes a multidisciplinary framework (CS, statistics, social sciences, humanities) to define fair-null models, align policy intent with implementation, and study regulation (GDPR, ADS). (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. H. V. Jagadish (University of Michigan)
- 2. Francesco Bonchi (ISI Foundation)
- 3. Tina Eliassi-Rad (Northeastern University)
- 4. Lise Getoor (University of California Santa Cruz)
- 5. Krishna Gummadi (Max Planck Institute)
- 6. Julia Stoyanovich (New York University)
BibTeX Citation
@inproceedings{jagadish_sigmod19,
title = {{The Responsibility Challenge for Data}},
author = {Jagadish, H. V. and Bonchi, Francesco and Eliassi-Rad, Tina and Getoor, Lise and Gummadi, Krishna and Stoyanovich, Julia},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300079},
url = {https://dl.acm.org/doi/10.1145/3299869.3300079},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,367 | Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes | 2021 | SIGMOD | 5.6319194e-05 |
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