Results 201 to 210 of about 75,314 (264)

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

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Bias and Fairness Across the Healthcare AI Lifecycle: A Clinician-Oriented Review. [PDF]

Balkan Med J
Kocak B, Ponsiglione A, Dang VN, Dietzel M, Lekadir K, Cuocolo R.   +5 more
europepmc   +1 more source

Algorithmic fairness in AI-based fitness advice: evaluating socioeconomic bias in county-contextualized physical activity prescriptions. [PDF]

Front Public Health
Bao H, Yu T, Wang J, Yin H, Gao Y, Mao Y.   +5 more
europepmc   +1 more source

Deep Reinforcement Learning-Based Energy-Efficient Resource Allocation and Scheduling in 6G-Enabled UAV-Assisted IoT Wireless Networks. [PDF]

Sensors (Basel)
Nauman A, Kim SW.
europepmc   +1 more source

From Principles to Practice: Engineering Responsible AI for Geospatial Intelligence. [PDF]

SN Comput Sci
Hassan M, Sardar B, Islam S, Imani M, Hakiri A.   +4 more
europepmc   +1 more source

Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation. [PDF]

Front Digit Health
Mehda R, Oishi RA, Alam TT, Morol MK, Hui LT.   +4 more
europepmc   +1 more source

System-Level AI Governance in Nursing: A Practical Framework for Safe and Scalable Adoption. [PDF]

Nurs Adm Q
Wang J, Yang Y, Marshall D, Shucoski P, Gross T, Frederick R, Pappas S.   +6 more
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