Author: Dr. Ananya Gupta, Rohit Verma
Abstract: Ethical Artificial Intelligence (AI) is an evolving discipline that focuses on ensuring fairness, accountability, and transparency in AI-powered software applications. As AI becomes increasingly embedded in decision-making systems, the risks of algorithmic bias and unintended discrimination have drawn significant attention from policymakers, researchers, and industry leaders. Bias in AI systems can arise from skewed training data, flawed model design, or systemic inequalities reflected in digital environments. This paper explores the importance of ethical AI, methods for detecting and mitigating bias, real-world case studies, and future directions for building more equitable AI systems that respect human rights and societal norms.
Keywords: Ethical AI, Bias Mitigation, Fairness in AI, Responsible AI, Algorithmic Accountability, AI Ethics, Transparency.
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