Original Study

Open Access

|

Peer-reviewed

The Ethics of Algorithmic Decision-Making: Ensuring Fairness, Transparency, and Accountability in Data Analytics

Rajesh Kamisetty , Raj Nagamangalam

DIP: 18.02.030/20240901

DOI: 10.25215/2455/0901030

Received: February 24, 2024; Revision Received: March 15, 2024; Accepted: March 30, 2024

Abstract

Algorithmic decision-making is a typical replacement enhancing efficiency and innovation which has made its way through the United States’ industries while stirring ethical questions such as implementation of bias, lack of transparency, and accountability. This study thus explores the aforementioned challenges and their effects on different fields including; healthcare, finance and law enforcement. In particular, it showcases specific approaches to the development of fairness-aware algorithms, as well as transparent systems and sound accountability frameworks. The study focuses on AI and policy for ethical practices to foster and develop trust in deployment of AI based systems across industries in the United States.

Keywords

The author(s) appreciates all those who participated in the study and helped to facilitate the research process.

The author(s) declared no conflict of interest.

This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.

© 2024, Kamisetty, R. & Nagamangalam, R.

Responding Author Information

Rajesh Kamisetty @ msrprojectshyd@gmail.com

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Article Overview

ISSN 2348-5396

ISSN 2349-3429

DIP: 18.02.030/20240901

DOI: 10.25215/2455/0901030

Published in

Volume 09, Issue 1, January – March, 2024

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