Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

26 February 2018

Papers citing "Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction"

50 / 72 papers shown

Title
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 41 0 0 12 May 2025
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 37 0 0 10 Oct 2024
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning Anna P. Meyer Yea-Seul Kim Aws Albarghouthi Loris DÁntoni FaML 26 1 0 18 Sep 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Bo-wen Li Dawn Song Peter Henderson Prateek Mittal AAML 45 10 0 29 May 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement Mukund Telukunta Sukruth Rao Gabriella Stickney Venkata Sriram Siddhardh Nadendla Casey Canfield 34 1 0 04 Apr 2024
Public Perceptions of Fairness Metrics Across Borders Yuya Sasaki Sohei Tokuno Haruka Maeda Kazuki Nakajima Osamu Sakura G. Fletcher Mykola Pechenizkiy Panagiotis Karras Irina Shklovski 16 0 0 24 Mar 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 24 0 0 14 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 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 33 9 0 08 Feb 2024
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 21 9 0 10 May 2023
Automated Spatio-Temporal Graph Contrastive Learning Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Zhonghang Li Siu-keung Yiu AI4TS 11 42 0 06 May 2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Mukund Telukunta Venkata Sriram Siddhardh Nadendla 16 0 0 07 Apr 2023
Assessing Perceived Fairness from Machine Learning Developer's Perspective Anoop Mishra Deepak Khazanchi FaML 19 0 0 07 Apr 2023
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms? Ren-de Li Sara Kingsley Chelsea Fan Proteeti Sinha Nora Wai Jaimie Lee Hong Shen Motahhare Eslami Jason I. Hong MLAU 16 16 0 04 Apr 2023
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes A. Papenmeier Dagmar Kern Daniel Hienert Yvonne Kammerer C. Seifert 21 18 0 13 Feb 2023
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 27 91 0 20 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 38 45 0 23 Sep 2022
The Algorithmic Imprint Upol Ehsan Ranjit Singh Jacob Metcalf Mark O. Riedl FaML 26 31 0 03 Jun 2022
How Different Groups Prioritize Ethical Values for Responsible AI Maurice Jakesch Zana Buçinca Saleema Amershi Alexandra Olteanu 45 95 0 16 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 38 88 0 13 May 2022
Modeling Human Behavior Part II -- Cognitive approaches and Uncertainty Andrew Fuchs A. Passarella M. Conti 9 4 0 13 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 16 52 0 11 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 23 29 0 09 May 2022
On the Relationship Between Explanations, Fairness Perceptions, and Decisions Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 14 6 0 27 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 38 43 0 06 Apr 2022
Fast Feature Selection with Fairness Constraints Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 8 3 0 28 Feb 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 20 0 0 16 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 14 0 0 02 Feb 2022
"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems? Markus Langer Tim Hunsicker Tina Feldkamp Cornelius J. König Nina Grgic-Hlaca 15 36 0 25 Aug 2021
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems Jakob Schoeffer Niklas Kuehl 10 26 0 14 Aug 2021
Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making Marco Lünich Kimon Kieslich 16 13 0 19 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 14 0 0 29 Jun 2021
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI Kimon Kieslich Birte Keller C. Starke 14 84 0 01 Jun 2021
Equality before the Law: Legal Judgment Consistency Analysis for Fairness Yuzhong Wang Chaojun Xiao Shirong Ma Haoxiang Zhong Cunchao Tu Tianyang Zhang Zhiyuan Liu Maosong Sun AILaw 12 19 0 25 Mar 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 17 142 0 22 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 15 315 0 19 Mar 2021
Blindspots in Python and Java APIs Result in Vulnerable Code Yuriy Brun Tian Lin J. Somerville Elisha M Myers Natalie C. Ebner 16 7 0 10 Mar 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 15 66 0 01 Feb 2021
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making Gabriel Lima Nina Grgic-Hlaca M. Cha 11 67 0 01 Feb 2021
Descriptive AI Ethics: Collecting and Understanding the Public Opinion Gabriel Lima M. Cha 10 5 0 15 Jan 2021
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models Brittany Johnson Jesse Bartola Rico Angell Katherine Keith Sam Witty S. Giguere Yuriy Brun FaML 16 18 0 17 Dec 2020
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives Angie Peng Jeffrey Naecker B. Hutchinson A. Smart Nyalleng Moorosi 25 0 0 08 Dec 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 15 56 0 12 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 19 614 0 04 Oct 2020
A Framework for Fairer Machine Learning in Organizations Lily Morse M. Teodorescu Yazeed Awwad Gerald C. Kane FaML FedML 14 5 0 10 Sep 2020
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion Mukund Telukunta Venkata Sriram Siddhardh Nadendla FaML 6 0 0 09 Sep 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 6 56 0 14 Aug 2020
LimeOut: An Ensemble Approach To Improve Process Fairness Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 15 20 0 17 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 34 111 0 11 Jun 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 13 8 0 19 May 2020