Ethical Governance in the Age of AI: A Cross-Disciplinary Study of Technology, Policy, and Civic Education

Abstract

With the artificial intelligence (AI) developing at a high pace, it is providing disruptive power to practically every sphere of society, covering governance, education, industry, and civic life. These positive outcomes, however, come hand-in-hand with serious ethical issues that include algorithm bias, excessive surveillance, degradation of democracy and lack of civic responsibility. It is a cross-disciplinary study of this paper, which focuses on the stochastic modeling procedure, ethical theories, and policy-making to allow proposing a model of ethical governance in the era of AI. We investigate interplay between non-linear AI system dynamics and human decisions with the focus being on the implications of enormous swings in the performance of the AI when subjected to socio-political pressures. We simulate the relationship between governance and ethical instability, that is, amplified noise and feedback loops on ethical instability via stochastic differential equations and bifurcation theory. The examples would be a case study of algorithmic criminal justice institutions, automated welfare delivery, and educational devices to show the reflection of real-life implication of unregulated AI systems. It is also in the paper that the researchers emphasize the roles of civic education and policy literacy in laying out a participatory approach to the governance of AI. Our findings are that a top-notch governance has necessitated more that regulation frameworks and embracive communication among technical, policy, and civic players. We end this editorial with a proposal of a multi-objective optimization framework that can find a common ground between ethical integrity, technical robustness, and social accountability in the deployment of AI.