Navigating Ethical Challenges in Big Data: Leveraging AI to Balance Innovation, Privacy Protection, and Transparent Decision Making

Authors

  • Partha Chakraborty Business of School, International American University, Los Angeles, California, USA.
  • Niropam Das National University of Bangladesh, Gazipur, Bangladesh
  • Omar Faruq College of Business, Westcliff University, Irvine, California, USA.
  • Muslima Begom Riipa Business Analytics, International American University, Los Angeles, California, USA
  • Syed Azazul Haque Business Administration, INTERNATIONAL AMERICAN UNIVERSITY, Los Angeles, California, USA.
  • Md Tanvir Rahman Tarafder Faculty of Science and Technology, American International University-Bangladesh, Dhaka, BD.

Keywords:

Ethical Challenges, Big Data, Balance Innovation, Transparent Decision Making

Abstract

The advent of Big Data has triggered a paradigm shift in various industries, with insights gaining traction for innovation, operational improvement and facilitating better decision making. However, this datadriven paradigm has raised deep ethical questions particularly in the realms of data privacy, algorithmic transparency and equitable access. Artificial Intelligence (AI) plays a central role in addressing these challenges by providing the infrastructure and sophistication to anonymize data, identify bias and ensure accountability in the decision making process. Discussion The Ethics of Artificial Intelligence and Big Data: What Do We Live In, the Matrix, or in the Ethics this study provides a detailed overview of how to reduce risk on misuse of data and bias according to existing sources and studies from the topic. These results highlight the imperative for establishing ethical frameworks and governance mechanisms that ensure the advancement of AI aligns with the principles that underpin the fabric of society and ensure the safe and sound exploitation of Big Data for the cause of sustainable development.

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Published

2022-12-30

Issue

Vol. 1 No. 1 &2 (2022): International Journal of Management Perspective And Social Research (IJMPSR)

Section

Articles