"Ethical Considerations of Encrypted AI in Decision-Making Systems"

Abstract

As advancements in artificial intelligence (AI) and encryption technology accelerate, the integration of encrypted AI into decision-making systems raises profound ethical considerations. This paper explores the ethical implications of employing encrypted AI algorithms in decision-making processes across various sectors, including healthcare, finance, and governance. Key ethical concerns include transparency, accountability, bias mitigation, and the balance between privacy and utility. By analyzing case studies and theoretical frameworks, this paper examines how encrypted AI can enhance privacy protection while potentially exacerbating opacity and accountability deficits. Ethical guidelines and regulatory frameworks are discussed to mitigate these challenges, aiming to foster trust, fairness, and responsible innovation in the deployment of encrypted AI decision-making systems.