Likelihood of Questioning AI-based Recommendations Due to Perceived Racial/Gender Bias-Reference-Cited by-同舟云学术

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Likelihood of Questioning AI-based Recommendations Due to Perceived Racial/Gender Bias

Published:2021 Issue: Volume: Page:1-1
ISSN:2637-6415
Container-title:IEEE Transactions on Technology and Society
language:
Short-container-title:IEEE Trans. Technol. Soc.

Author:

Parra Carlos M.,Gupta Manjul,Dennehy Denis

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8566059/9001030/09576526.pdf?arnumber=9576526

Cited by 21 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. Designing an Inclusive Artificial Intelligence (AI) Curriculum for Elementary Students to Address Gender Differences With Collaborative and Tangible Approaches;Journal of Educational Computing Research;2024-08-28

2. AI and Social Determinants of Health in Health Care: A Personal Perspective;North Carolina Medical Journal;2024-07-11

3. EXplainable Artificial Intelligence (XAI) for facilitating recognition of algorithmic bias: An experiment from imposed users’ perspectives;Telematics and Informatics;2024-07

4. A Survey of Bias and Fairness in Healthcare AI;2024 IEEE 12th International Conference on Healthcare Informatics (ICHI);2024-06-03

5. Development of Structure For Reliability Kind of Assessment Through Artificial Intelligence;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

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