Data Privacy and Ethical Concerns in AI and Computer Science

Abstract

As Artificial Intelligence and Computer Science continue to grow and turn out to be a part of our day by day lives, the ethical issues and issues about information privateness have turn out to be extra essential. This evaluation paper thoroughly seems at how statistics privateness and ethics join in AI and CS. It explores the demanding situations and possibilities that arise when AI and CS technology acquire, system, and observe quite a few data. The paper talks about the ethical problems due to AI algorithms and self-running structures. It looks into troubles like bias, transparency, accountability, and fairness. Additionally, it talks about the converting guidelines about facts privateness and how they affect AI and CS, in particular in phrases of records protection, consent, and the proper to be forgotten. The paper also discusses the ethical frameworks and guidelines created to cope with those complicated issues. It uses numerous resources like research articles, case research, and coverage files to offer an updated and multidisciplinary view of the subject. It ends with the aid of citing the brand new developments and future directions in this subject, inclusive of the importance of different professionals working collectively to address these challenges. In quick, this thorough assessment paper is a beneficial resource for researchers, policymakers, and practitioners who need to recognize and address the complicated issues of facts privateness and ethics in AI and pc technological know-how.