Unraveling the Ethical Conundrum of Artificial Intelligence: A Synthesis of Literature and Case Stud

Overview

Authors: Pavan Kumar Reddy Poli, Sushma Pamidi, Shravan Kumar Reddy Poli

Publication Date: 11 November 2024

Link: https://link.springer.com/article/10.1007/s41133-024-00077-5

Keywords: AI, AI ethics, fairness, transparency, bias, literature review, research gaps, future research agenda

Type: Peer-Reviewed Journals/White Papers

Summary

Artificial intelligence (AI) is rapidly transforming modern society, offering immense potential while raising significant ethical concerns. This paper reviews the existing literature and analyzes case studies to examine key ethical challenges in AI, including fairness, transparency, accountability, and bias. While research on AI ethics is growing, notable gaps remain. By exploring practical implications across diverse sectors, this paper highlights the urgent need for further research to address these challenges and ensure the ethical development and deployment of AI. We conclude with a proposed agenda for advancing the study of AI ethics.