Papers citing 'Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making'

Title
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks Luke M. Guerdan Devansh Saxena Stevie Chancellor Zhiwei Steven Wu Kenneth Holstein 101 1 0 03 Jul 2025
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness Stephen Pfohl Natalie Harris Chirag Nagpal David Madras Vishwali Mhasawade ... Nnamdi Ezeanochie Heather Cole-Lewis Katherine Heller Sanmi Koyejo Alexander D’Amour 210 2 0 04 Jun 2025
AI Mismatches: Identifying Potential Algorithmic Harms Before AI DevelopmentInternational Conference on Human Factors in Computing Systems (CHI), 2025 Devansh Saxena Ji-Youn Jung Jodi Forlizzi Kenneth Holstein John Zimmerman 240 7 0 25 Feb 2025
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 149 3 0 17 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine LearningNeural Information Processing Systems (NeurIPS), 2024 Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 216 3 0 12 Oct 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 185 0 0 27 Jun 2024
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action Hilde J. P. Weerts Raphaële Xenidis Fabien Tarissan Henrik Palmer Olsen Mykola Pechenizkiy FaML 101 9 0 18 Apr 2024
Predictive Performance Comparison of Decision Policies Under Confounding Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu OffRL 262 0 0 01 Apr 2024
Does AI help humans make better decisions? A methodological framework for experimental evaluationProceedings of the National Academy of Sciences of the United States of America (PNAS), 2024 Eli Ben-Michael D. J. Greiner Melody Huang Kosuke Imai Zhichao Jiang Sooahn Shin 105 6 0 18 Mar 2024
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning Zana Buçinca S. Swaroop Amanda E. Paluch Susan A. Murphy Krzysztof Z. Gajos 136 14 0 09 Mar 2024
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift Philip A. Boeken O. Zoeter Joris M. Mooij 185 3 0 01 Mar 2024
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia Tzu-Sheng Kuo Aaron L Halfaker Zirui Cheng Jiwoo Kim Meng-Hsin Wu Tongshuang Wu Kenneth Holstein Haiyi Zhu 155 34 0 21 Feb 2024
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing Md. Romael Haque Devansh Saxena Katherine Weathington Joseph Chudzik Shion Guha 171 15 0 08 Feb 2024
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human KnowledgeInternational Conference on Climate Informatics (ICCI), 2023 Anna Kawakami Luke M. Guerdan Yanghuidi Cheng Matthew L. Lee Scott A. Carter Nikos Arechiga Kate Glazko Haiyi Zhu Kenneth Holstein 134 11 0 30 Aug 2023
Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-MakingACM Journal on Responsible Computing (JRC), 2023 Devansh Saxena Shion Guha 139 27 0 09 Aug 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen Casper Xander Davies Claudia Shi T. Gilbert Jérémy Scheurer ... Erdem Biyik Anca Dragan David M. Krueger Dorsa Sadigh Dylan Hadfield-Menell ALM OffRL 257 660 0 27 Jul 2023
Explore, Establish, Exploit: Red Teaming Language Models from Scratch Stephen Casper Jason Lin Joe Kwon Gatlen Culp Dylan Hadfield-Menell AAML 160 115 0 15 Jun 2023
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Philip A. Boeken Noud de Kroon Mathijs de Jong Joris M. Mooij O. Zoeter 131 4 0 29 Mar 2023
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML ComplementarityProceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2022 Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 177 19 0 22 Apr 2022