activity
20192025
most citedAddressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

36 citations · 114 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Private Map-Secure Reduce: Infrastructure for Efficient AI Data Markets

Sameer Wagh, Kenneth Stibler, Shubham Gupta +8

The modern AI data economy centralizes power, limits innovation, and misallocates value by extracting data without control, privacy, or fair compensation. We introduce Private Map-…

cs.CL2021★ 36 cited

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

Jack Bandy, Nicholas Vincent

Recent literature has underscored the importance of dataset documentation work for machine learning, and part of this work involves addressing "documentation debt" for datasets tha…

cs.CY2021★ 32 cited

Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits

Jack Bandy

While algorithm audits are growing rapidly in commonality and public importance, relatively little scholarly work has gone toward synthesizing prior work and strategizing future re…

cs.HC2020★ 34 cited

#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok

Jack Bandy, Nicholas Diakopoulos

When a re-election rally for the U.S. president drew smaller crowds than expected in Tulsa, Oklahoma, many people attributed the low turnout to collective action organized by TikTo…

cs.CY2019★ 12 cited

Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News

Jack Bandy, Nicholas Diakopoulos

This work presents an audit study of Apple News as a sociotechnical news curation system that exercises gatekeeping power in the media. We examine the mechanisms behind Apple News…