Issue Details
Ethical Artificial Intelligence: A Review of Development of Fairness-Aware Machine Learning Algorithms for Decision Support Systems
Manisha Devi
Page No. : 1-4
ABSTRACT
Artificial Intelligence (AI) is increasingly used in decision support systems (DSS) across various sectors, including healthcare, finance, criminal justice, and human resources. However, concerns about bias, fairness, and transparency in machine learning (ML) algorithms have emerged, with ethical considerations gaining significant attention. This research paper explores the ethical implications of AI, focusing on the development of fairness-aware machine learning algorithms. These algorithms aim to minimize biases and ensure fair and equitable decision-making in DSS. By addressing key challenges and proposing solutions, this paper contributes to the advancement of ethical AI practices that promote transparency, fairness, and accountability.
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