Results 91 to 100 of about 502,406 (182)

Unveiling public perception of AI ethics: an exploration on Wikipedia data

EPJ Data Science
Artificial Intelligence (AI) technologies have exposed more and more ethical issues while providing services to people. It is challenging for people to realize the occurrence of AI ethical issues in most cases.
Mengyi Wei, Yu Feng, Chuan Chen, Peng Luo, Chenyu Zuo, Liqiu Meng   +5 more
doaj   +1 more source

Fair human-centric image dataset for ethical AI benchmarking. [PDF]

Nature
Xiang A, Andrews JTA, Bourke RL, Thong W, LaChance JM, Georgievski T, Modas A, Rahmattalabbi A, Ba Y, Nagpal S, Papakyriakopoulos O, Zhao D, Xue J, Matthews V, Gong L, Hoag AT, Cimpoi M, Sankaranarayanan S, Hutiri W, Scheuerman MK, Abedi AS, Stone P, Wurman PR, Kitano H, Spranger M.   +24 more
europepmc   +1 more source

⁠Advancing ethical AI in healthcare through interpretability. [PDF]

Patterns (N Y)
Ning Y, Liu M, Liu N.
europepmc   +1 more source

Mitigated deployment strategy for ethical AI in clinical settings. [PDF]

BMJ Health Care Inform
Abdulrahman S, Trengove M.
europepmc   +1 more source

Ethical AI in Healthcare: Integrating Zero-Knowledge Proofs and Smart Contracts for Transparent Data Governance. [PDF]

Bioengineering (Basel)
Ezz M, Alaerjan AS, Mostafa AM.
europepmc   +1 more source

Ethical AI in medical text generation: balancing innovation with privacy in public health. [PDF]

Front Public Health
Liang M.
europepmc   +1 more source

Reason and responsibility as a path toward ethical AI for (global) public health. [PDF]

NPJ Digit Med
Antao EM, Rasheed A, Näher AF, Wieler LH.   +3 more
europepmc   +1 more source

Talent management theoretical foundations: existing approaches analysis

Муниципалитет: экономика и управление
Introduction. Artificial intelligence (AI) technology development has introduced new ethical challenges into human resource management (HR). This research is relevant due to the growing use of AI for recruiting, performance evaluation, and employee ...
Nikita M. Ivanov, Mikhail F. Fridman
doaj  

A fairness-aware machine learning framework for maternal health in Ghana: integrating explainability, bias mitigation, and causal inference for ethical AI deployment. [PDF]

BioData Min
Osborne A, Usani K.
europepmc   +1 more source

Ethical considerations on the use of machine translation and crowdsourcing in cascading crises [PDF]

, 2019
Moniz, Helena, Parra Escartín, Carla
core   +1 more source