Panel: A Debate on Data and Algorithmic Ethics

Summary: Panel on data and algorithmic ethics (FAT) and database community's role in fairness, accountability, and transparency of data decisions. Frames FAT as data-management research, not policy, and investigates whether ethics shape DB research across sectors. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11729
Venue: VLDB
Year: 2018
Pagerank: 4.7825086e-05
Overall Rank: 7,254 | 49.59%
DOI: 10.14778/3229863.3240494

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,761	Automated Feature Engineering for Algorithmic Fairness	2021	VLDB	5.9341687e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
7,191	A Nutritional Label for Rankings	2018	SIGMOD	4.8003424e-05

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