Fairness in Agreement With European Values-Reference-Cited by-同舟云学术

Fairness in Agreement With European Values

Published:2022-07-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
language:
Short-container-title:

Author:

Bringas Colmenarejo Alejandra¹,Nannini Luca²,Rieger Alisa³,Scott Kristen M.⁴,Zhao Xuan⁵,Patro Gourab K⁶,Kasneci Gjergji⁵,Kinder-Kurlanda Katharina⁷

Affiliation:

1. University of Southampton, Southampton, United Kingdom

2. Minsait - Indra Sistemas & Universidade de Santiago de Compostela, Santiago de Compostela, Spain

3. Delft University of Technology, Delft, Netherlands

4. Katholieke Universiteit Leuven, Leuven, Belgium

5. SCHUFA Holding AG & University of Tuebingen, Tuebingen, Germany

6. IIT Kharagpur & L3S Research Center, Kharagpur, India

7. University of Klagenfurt, Klagenfurt, Austria

Funder

European Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514094.3534158

Reference113 articles.

1. “Part Man, Part Machine, All Cop”: Automation in Policing

2. AI in talent acquisition: a review of AI-applications used in recruitment and selection

3. Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective

4. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability

5. Julia Angwin , Jeff Larson , Surya Mattu , and Lauren Kirchner . 2022. Machine Bias*. Ethics of Data and Analytics ( 2022 ), 254--264. https://doi.org/10.1201/9781003278290-37 Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2022. Machine Bias*. Ethics of Data and Analytics (2022), 254--264. https://doi.org/10.1201/9781003278290-37

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem;IEEE Intelligent Systems;2024-07

2. Developing safer AI–concepts from economics to the rescue;AI & SOCIETY;2023-10-02

3. A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges;ACM Computing Surveys;2023-09-02

4. Explainability in Process Mining: A Framework for Improved Decision-Making;Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society;2023-08-08

5. Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation;IEEE Transactions on Visualization and Computer Graphics;2023