Ethical AI and Sustainable Digital Governance: An Interdisciplinary Framework

With the growing role of artificial intelligence in global governance systems, there arises an urgent demand for frameworks that align ethical principles, human behavior trends, and environmental sustainability. The incorporation of AI into public service provision signifies a fundamental change necessitating focused consideration of fairness, transparency, privacy, and accountability systems. Global agreement on principles like human dignity, harm reduction, and democratic standards establishes a governance framework that crosses jurisdictional limits while allowing for contextual adjustments. Behavioral insights demonstrate that individual perceptions of trust and control greatly affect adoption trends, while design features such as meaningful agency, clear explanations, feedback systems, and emotional responsiveness improve public trust. The significant ecological impact of AI systems requires reduction through energy-saving algorithms, sustainable infrastructure, hardware improvements, and thorough lifecycle evaluation. By tackling these interrelated aspects at the same time through collaborative efforts across disciplines, governance structures can optimize AI's advantages for society while reducing risks, fostering public sector innovations that improve service delivery, boost administrative efficiency, and promote collective wellbeing without undermining fundamental rights or environmental sustainability.