What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems

28 September 2019

Papers citing "What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems"

18 / 18 papers shown

Title
Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring Contexts Preethi Seshadri Seraphina Goldfarb-Tarrant 50 1 0 08 Jan 2025
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 51 21 0 03 Sep 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 31 6 0 01 Jun 2023
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain Mike Zhang Rob van der Goot Barbara Plank 29 14 0 20 May 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 27 35 0 13 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 41 21 0 02 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 26 57 0 01 Feb 2023
"Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated Tools M. Lashkari Jinghui Cheng 20 6 0 27 Jan 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 55 46 0 23 Sep 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models Maribeth Rauh John F. J. Mellor J. Uesato Po-Sen Huang Johannes Welbl ... Amelia Glaese G. Irving Iason Gabriel William S. Isaac Lisa Anne Hendricks 38 49 0 16 Jun 2022
Working with Affective Computing: Exploring UK Public Perceptions of AI enabled Workplace Surveillance Lachlan D. Urquhart A. Laffer Diana Miranda 18 5 0 17 May 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses Keegan Harris Daniel Ngo Logan Stapleton Hoda Heidari Zhiwei Steven Wu 22 31 0 12 Jul 2021
How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities? Reuben Binns Reuben Kirkham 29 14 0 12 Jul 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 25 6 0 02 Jun 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 43 394 0 12 Jan 2021
The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains Kimon Kieslich Marco Lünich Frank Marcinkowski 18 51 0 12 Jun 2020
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 19 505 0 21 Jun 2019