Vol 1, No 2 (2024)

Privacy and Security in Autonomous Ai Systems: Ethical Dilemmas and Solutions

Author: Prof. Ramesh Gupta

Abstract: The development of autonomous AI systems presents significant advancements in various sectors such as healthcare, transportation, and finance. However, these innovations also raise critical ethical concerns, particularly regarding privacy and security. As autonomous AI systems increasingly integrate into daily life, they collect, process, and analyze vast amounts of personal data, often without explicit consent. This paper explores the ethical dilemmas associated with privacy and security in these systems and examines potential solutions. Topics covered include data protection laws, encryption methods, transparency in AI decision-making, and the role of accountability in autonomous AI systems. The paper also discusses the implications for society, the potential for misuse, and proposes frameworks for ensuring ethical AI development.

Keywords: Autonomous AI systems, privacy, security, ethical dilemmas, data protection, encryption, transparency, accountability, ethical AI development

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