[引用][C] Fairness and machine learning: Limitations and opportunities
Fairness and machine learning : limitations and opportunities | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …
[图书][B] Fairness and machine learning: Limitations and opportunities
An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …
fairness and machine learning. Fairness and Machine Learning introduces advanced …
Algorithmic fairness: Choices, assumptions, and definitions
A recent wave of research has attempted to define fairness quantitatively. In particular, this
work has explored what fairness might mean in the context of decisions based on the …
work has explored what fairness might mean in the context of decisions based on the …
Non-empirical problems in fair machine learning
T Scantamburlo - Ethics and Information Technology, 2021 - Springer
The problem of fair machine learning has drawn much attention over the last few years and
the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also …
the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also …
A review on fairness in machine learning
An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …
Mathematical notions vs. human perception of fairness: A descriptive approach to fairness for machine learning
Fairness for Machine Learning has received considerable attention, recently. Various
mathematical formulations of fairness have been proposed, and it has been shown that it is …
mathematical formulations of fairness have been proposed, and it has been shown that it is …
A snapshot of the frontiers of fairness in machine learning
A Chouldechova, A Roth - Communications of the ACM, 2020 - dl.acm.org
A snapshot of the frontiers of fairness in machine learning Page 1 82 COMMUNICATIONS OF
THE ACM | MAY 2020 | VOL. 63 | NO. 5 review articles ILL US TRA TION B Y JUS TIN METZ …
THE ACM | MAY 2020 | VOL. 63 | NO. 5 review articles ILL US TRA TION B Y JUS TIN METZ …
Discrimination in algorithmic decision making
I Valera - Fundamental Questions, 2021 - nomos-elibrary.de
As automated data analysis supplements, and even replaces, human supervision in
decision making, there are growing societal concerns about potential unfairness of these …
decision making, there are growing societal concerns about potential unfairness of these …
Fairness issues, current approaches, and challenges in machine learning models
With the increasing influence of machine learning algorithms in decision-making processes,
concerns about fairness have gained significant attention. This area now offers significant …
concerns about fairness have gained significant attention. This area now offers significant …
On the applicability of machine learning fairness notions
Machine Learning (ML) based predictive systems are increasingly used to support decisions
with a critical impact on individuals' lives such as college admission, job hiring, child …
with a critical impact on individuals' lives such as college admission, job hiring, child …