Affirmative Algorithms: The Legal Grounds for Fairness as Awareness

18 December 2020

Papers citing "Affirmative Algorithms: The Legal Grounds for Fairness as Awareness"

13 / 13 papers shown

Title
Laypeople's Attitudes Towards Fair, Affirmative, and Discriminatory Decision-Making Algorithms Gabriel Lima Nina Grgic-Hlaca Markus Langer Yixin Zou FaML 85 0 0 12 May 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Angelina Wang Michelle Phan Daniel E. Ho Sanmi Koyejo 133 2 0 04 Feb 2025
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set Gordon Dai Pavan Ravishankar Rachel Yuan Daniel B. Neill Emily Black 77 2 0 28 Jan 2025
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 92 0 0 29 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 62 7 0 18 Apr 2024
What's in a Name? Auditing Large Language Models for Race and Gender Bias Amit Haim Alejandro Salinas Julian Nyarko 98 38 0 21 Feb 2024
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics Carlos Mougan Joshua Brand 56 0 0 09 Nov 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 70 17 0 29 Sep 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 92 1 0 11 Jun 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 40 14 0 17 Feb 2023
Data Governance in the Age of Large-Scale Data-Driven Language Technology Yacine Jernite Huu Nguyen Stella Biderman A. Rogers Maraim Masoud ... Jorg Frohberg Aaron Gokaslan Peter Henderson Rishi Bommasani Margaret Mitchell 75 53 0 04 May 2022
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection Peter Henderson Ben Chugg Brandon R. Anderson Kristen M. Altenburger Alex Turk J. Guyton Jacob Goldin Daniel E. Ho OffRL 45 9 0 25 Apr 2022
Post-hoc Interpretability for Neural NLP: A Survey Andreas Madsen Siva Reddy A. Chandar XAI 90 233 0 10 Aug 2021