Discrimination in the Age of Algorithms

11 February 2019

Papers citing "Discrimination in the Age of Algorithms"

50 / 58 papers shown

Title
A Rapid Test for Accuracy and Bias of Face Recognition Technology Manuel Knott Ignacio Serna Ethan Mann Pietro Perona 72 0 0 20 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool Floris Holstege Mackenzie Jorgensen Kirtan Padh Jurriaan Parie Joel Persson Krsto Prorokovic Lukas Snoek 128 0 0 03 Feb 2025
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 200 0 0 10 Nov 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 106 0 0 29 Jun 2024
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions R. Bhambhoria Samuel Dahan Jonathan Li Xiaodan Zhu ELM 62 5 0 18 Apr 2024
The Ethics of AI in Education K. Porayska-Pomsta Wayne Holmes Selena Nemorin 80 90 0 22 Mar 2024
Causal Perception Jose M. Alvarez Salvatore Ruggieri CML 48 0 0 24 Jan 2024
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models Matthew Dahl Varun Magesh Mirac Suzgun Daniel E. Ho HILM AILaw 126 85 0 02 Jan 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 71 6 0 30 Nov 2023
GELDA: A generative language annotation framework to reveal visual biases in datasets Krish Kabra Kathleen M. Lewis Guha Balakrishnan VLM 44 1 0 29 Nov 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 73 3 0 26 Oct 2023
Should they? Mobile Biometrics and Technopolicy meet Queer Community Considerations Anaelia Ovalle Davi Liang Alicia Boyd 33 2 0 06 Oct 2023
Interventions Against Machine-Assisted Statistical Discrimination John Y. Zhu 68 0 0 06 Oct 2023
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups Parsa Rahimi Christophe Ecabert S´ebastien Marcel CVBM 119 7 0 15 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 60 0 0 04 Sep 2023
Is the U.S. Legal System Ready for AI's Challenges to Human Values? Inyoung Cheong Aylin Caliskan Tadayoshi Kohno SILM ELM AILaw 68 1 0 30 Aug 2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification Arpit Merchant Carlos Castillo 57 4 0 18 Aug 2023
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem Jose Alvarez Colmenares CML 45 0 0 16 May 2023
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy Louis Hickman J. Kuruzovich Vincent Ng Kofi Arhin Danielle Wilson 26 14 0 27 Apr 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics Leonardo Iurada S. Bucci Timothy M. Hospedales Tatiana Tommasi 72 0 0 25 Mar 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 70 6 0 15 Mar 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 72 13 0 23 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 45 14 0 17 Feb 2023
Linking convolutional kernel size to generalization bias in face analysis CNNs Hao Liang J. O. Caro Vikram Maheshri Ankit B. Patel Guha Balakrishnan CVBM CML 68 0 0 07 Feb 2023
Balancing Utility and Fairness in Submodular Maximization (Technical Report) Yanhao Wang Yuchen Li Francesco Bonchi Ying Wang 104 5 0 02 Nov 2022
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning N. Matloff 46 0 0 13 Oct 2022
Prioritizing emergency evacuations under compounding levels of uncertainty Lisa J. Einstein Robert J. Moss Mykel J. Kochenderfer 52 1 0 30 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 97 5 0 12 Sep 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 56 5 0 13 Aug 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 122 45 0 22 Jul 2022
Mimetic Models: Ethical Implications of AI that Acts Like You Reid McIlroy-Young Jon M. Kleinberg S. Sen Solon Barocas Ashton Anderson 75 17 0 19 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 37 10 0 06 Jun 2022
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis J.D. Zamfirescu-Pereira Jerry Chen Emily Wen Allison Koenecke N. Garg Emma Pierson 58 6 0 15 May 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing Ilias Chalkidis Tommaso Pasini Shenmin Zhang Letizia Tomada Sebastian Felix Schwemer Anders Søgaard AILaw 96 54 0 14 Mar 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers Dominik Zietlow Michael Lohaus Guha Balakrishnan Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Chris Russell FaML 92 75 0 09 Mar 2022
Investigations of Performance and Bias in Human-AI Teamwork in Hiring Andi Peng Besmira Nushi Emre Kıcıman K. Inkpen Ece Kamar 51 32 0 21 Feb 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 99 79 0 25 Jan 2022
Uncovering the Source of Machine Bias Xiyang Hu Yan-ping Huang Beibei Li Tian Lu FaML 77 2 0 09 Jan 2022
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 80 19 0 05 Oct 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 109 11 0 09 Sep 2021
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness Ben Green FaML 171 39 0 09 Jul 2021
Leveraging Expert Consistency to Improve Algorithmic Decision Support Maria De-Arteaga Vincent Jeanselme A. Dubrawski Alexandra Chouldechova 76 22 0 24 Jan 2021
Towards causal benchmarking of bias in face analysis algorithms Guha Balakrishnan Yuanjun Xiong Wei Xia Pietro Perona CVBM 77 90 0 13 Jul 2020
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Sebastian Bordt U. V. Luxburg 50 8 0 09 Jul 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 66 34 0 06 May 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML CVBM 70 79 0 22 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics Ignacio Serna Alejandro Peña Aythami Morales Julian Fierrez CVBM 101 62 0 14 Apr 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 95 12 0 24 Feb 2020
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML OOD CVBM 68 42 0 04 Dec 2019