Results 201 to 210 of about 75,106 (264)

From explainability to clinical actionability: translating artificial intelligence models into decision support for endocrine disease management. [PDF]

Front Endocrinol (Lausanne)
Wu T, Cai W, Li Z.
europepmc   +1 more source

Correction: Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming. [PDF]

PLoS One
Nguyen-Thi H, Chu-Thi N, Quang-Nguyen S, Tran-Tien D, Le-Thi A.   +4 more
europepmc   +1 more source

Political participation enhances subjective well-being in rural China: the dual mediating pathways of fairness and trust. [PDF]

Front Psychol
Zhang Z, Wang D.
europepmc   +1 more source

Test-fairness deep learning with influence score. [PDF]

PLOS Digit Health
Wu JC, Shih CY, Wu NC, Chen WW, Lu HH, Lo SH.   +5 more
europepmc   +1 more source

Teacher-regulated generative AI support, student agency, and perceived learning gains in higher education: the moderating role of perceived fairness. [PDF]

Front Artif Intell
Zhang Z, Lu X, Kanji M.
europepmc   +1 more source

Detecting and Mitigating AI Bias in Health Care: Development and Validation of a Unified Multistage Framework. [PDF]

JMIR AI
Mateedulsatit R, Srisa-An C.
europepmc   +1 more source

Fairness and Machine Fairness

Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021
Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether
Clinton Castro, David O'Brien, Ben Schwan   +2 more
openaire   +1 more source