Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.04201
Cited By
v1
v2 (latest)
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems
Conference on Fairness, Accountability and Transparency (FAccT), 2021
26 January 2021
Jennifer Cobbe
M. S. Lee
Jatinder Singh
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems"
19 / 19 papers shown
Towards Meaningful Transparency in Civic AI Systems
Dave Murray-Rust
Kars Alfrink
Cristina Zaga
137
0
0
09 Oct 2025
Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
Shreya Chappidi
Jennifer Cobbe
Chris Norval
A. Mazumder
Jatinder Singh
113
1
0
06 Oct 2025
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
Prachi Bagave
Marcus Westberg
Marijn Janssen
Aaron Yi Ding
80
0
0
03 Sep 2025
Stakeholder Participation for Responsible AI Development: Disconnects Between Guidance and Current Practice
Conference on Fairness, Accountability and Transparency (FAccT), 2025
Emma Kallina
Thomas Bohné
Jat Singh
183
4
0
11 Jun 2025
Toward Adaptive Categories: Dimensional Governance for Agentic AI
Zeynep Engin
David Hand
307
5
0
16 May 2025
Human-AI Governance (HAIG): A Trust-Utility Approach
Zeynep Engin
266
5
0
03 May 2025
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mokander
260
73
0
07 Jul 2024
A Room With an Overview: Towards Meaningful Transparency for the Consumer Internet of Things
Chris Norval
Jatinder Singh
135
9
0
19 Jan 2024
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
Edward A. Small
Jeffrey N Clark
Christopher J. McWilliams
Kacper Sokol
Jeffrey Chan
Flora D. Salim
Raúl Santos-Rodríguez
300
1
0
08 Sep 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions
Alexandra Brintrup
George Baryannis
Ashutosh Tiwari
S. Ratchev
Giovanna Martínez-Arellano
Jatinder Singh
222
8
0
19 May 2023
Understanding accountability in algorithmic supply chains
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Jennifer Cobbe
Michael Veale
Jatinder Singh
205
89
0
28 Apr 2023
Towards a Praxis for Intercultural Ethics in Explainable AI
Chinasa T. Okolo
232
8
0
24 Apr 2023
Auditing large language models: a three-layered approach
AI and Ethics (AE), 2023
Jakob Mokander
Jonas Schuett
Hannah Rose Kirk
Luciano Floridi
AILaw
MLAU
489
270
0
16 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication
B. Keenan
Kacper Sokol
364
9
0
07 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
International Conference on Human Factors in Computing Systems (CHI), 2023
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
264
31
0
02 Feb 2023
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
Conference on Fairness, Accountability and Transparency (FAccT), 2022
J.D. Zamfirescu-Pereira
Jerry Chen
Emily Wen
Allison Koenecke
N. Garg
Emma Pierson
189
6
0
15 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Wesley Hanwen Deng
Manish Nagireddy
M. S. Lee
Jatinder Singh
Zhiwei Steven Wu
Kenneth Holstein
Haiyi Zhu
199
112
0
13 May 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Gabriel Lima
Nina Grgić-Hlavca
Jin Keun Jeong
M. Cha
129
45
0
11 May 2022
Accountability in AI: From Principles to Industry-specific Accreditation
AI Communications (AI Commun.), 2021
Christian Percy
S. Dragicevic
Sanjoy Sarkar
Artur Garcez
114
16
0
08 Oct 2021
1
