Addressing Ethical Concerns in AI and ML: Strategies for Detecting and Mitigating Bias
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Abstract
The ethical considerations in the artificial intelligence and machine learning can be discussed in this paper and create the proper opportunity to detect the biasness in the data that is provided in the system. There are teams that are associated with multi-disciplinary streams that help in providing proper algorithms to the machine using AI and machine learning systems. This report is essential to understand the process that can be adopted for the removal of the biases in the system of the data and the use AI and machine learning for the proper use of the technology.
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How to Cite
Pandi Kirupa Kumari Gopalakrishna Pandian, Satyanarayan kanungo, J. K. A. C. P. K. C. (2022). Addressing Ethical Concerns in AI and ML: Strategies for Detecting and Mitigating Bias. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 248–253. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/10511
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