NAVIGATING THE ETHICAL LANDSCAPE OF ARTIFICIAL INTELLIGENCE: ACCOUNTABILITY, BIAS, AND HUMAN-CENTRIC DESIGN

Abstract

This research explores the ethical dimensions of artificial intelligence (AI) through the lenses of accountability, bias, and human-centric design. As AI technologies increasingly influence critical decision-making in various sectors, understanding who bears moral responsibility for AI-driven outcomes becomes paramount. This study evaluates existing accountability frameworks and proposes enhancements to ensure ethical responsibility in AI deployment. Furthermore, it addresses the pervasive issue of bias in AI algorithms, examining methodologies for identifying and mitigating biases to promote fairness and equity. Finally, the research emphasizes the principles of human-centric design, advocating for the development of AI systems that prioritize human values and welfare. By integrating these themes, this study aims to contribute to the discourse on responsible AI development, providing actionable insights for policymakers, technologists, and ethicists in creating equitable and trustworthy AI systems.