A Comprehensive Review of AI: Ethical Frameworks, Challenges, and Development

Abstract

Artificial intelligence (AI) is a critical component of modern technological progress, providing solutions to challenges in a variety of fields. However, defining AI is difficult due to its interdisciplinary nature and changing methodologies. This paper provides a comprehensive review and analysis of artificial intelligence, including its definitions, types, branches, and ethical considerations. It addresses critical ethical issues such as algorithmic bias, accountability, data privacy, and societal consequences, emphasizing the importance of fairness, transparency, and strong legal frameworks. The paper also looks at the future of AI ethics, emphasizing the value of global collaboration and adaptive frameworks. Drawing on extensive scholarly sources, it seeks to propose actionable frameworks for ensuring that AI technologies are consistent with societal values and individual rights.