Challenges in AI Research: Addressing Bias and Ensuring Fairness

Abstract

Artificial Intelligence (AI) has demonstrated transformative potential across various sectors, from healthcare to finance. However, the integration of AI technologies raises critical concerns about bias and fairness. This paper examines the challenges associated with addressing bias in AI research and ensuring equitable outcomes. It explores the sources and types of bias, methods for detecting and mitigating bias, and the implications for stakeholders. The paper also discusses regulatory frameworks and ethical considerations necessary to foster fairness in AI systems. By analyzing current practices and proposing actionable strategies, this study aims to contribute to the development of more transparent and inclusive AI technologies.