Ethical and Governance Challenges of Agentic AI

Abstract

The speed with which agentic AI is developed and implemented has brought about serious ethical and governance questions, especially when it comes to accountability, openness and the human element of supervision. The necessity to have robust structures that will guarantee the ethical use of AI systems is of critical importance as they make more and more autonomous decisions. This paper discusses these issues, including the complications of making AI systems responsible towards their activities and the openness of the processes of their decision-making. It also looks at the significance of the human control in reducing the risk of agentic AI. The research design employed is a qualitative one in which cases studies are analyzed and the effectiveness of the available governance structures examined. The main conclusions are that the existing models of governance cannot be used to overcome the ethical challenges unique to agentic AI as more powerful control mechanisms and more transparent accountability frameworks are needed. This study offers useful information about enhancing the implementation of AI and the recommendations to policy makers, AI developers, and the general population interested in the responsible use of technology.