Jul 2026· 2026 ITU Kaleidoscope - AI and Frontier Technologies for Good (ITU K)· pp. 1-5· 0 citations· 14 references
Abstract
Artificial Intelligence (AI) is increasingly embedded in economic systems, public administration and social life across all regions. While AI offers significant opportunities for innovation and sustainable development, it also raises complex regulatory, governance and ethical challenges. This paper examines emerging approaches to AI regulation, governance mechanisms and ethical operationalization, with particular attention on the perspectives and priorities of India and the Global South. The paper reviews risk-based regulatory models, governance of high-impact and autonomous AI systems, the role of technical standards and digital public infrastructure, and the translation of ethical principles into implementable requirements. It submits that effective AI governance requires adaptive, interoperable and development-oriented frameworks that balance innovation with safeguards for human rights, inclusion and sustainability. The paper concludes by outlining policy directions to strengthen national and international cooperation to ensure that AI development contributes to equitable and inclusive outcomes.
An academic adaptation of Patrick Rudolf Dannacher's presentation at the 10th Jakarta Geopolitical Forum 2026 is presented, examining Indonesia's strategic position in the evolving global AI landscape.
Patrick Rudolf Dannacher Dannacher· Proceeding Jakarta Geopoliti...· 1 citation
Applied to African AI governance domains, this framework reveals how institutional fragmentation, infrastructural dependency, and global platform dominance undermine state-centred regulatory models.
Chijioke I. Okorie· Potchefstroom Electronic Law...· 0 citations
The application of artificial intelligence (AI) technologies in the public sector has led to improved public services, enhanced administrative performance, and strengthened automated decision-making. However, the increasing reliance on AI systems has raised concerns regarding accountability, ethical compliance, privacy protection, transparency, human oversight, and risk management. This study, employing both conceptual and qualitative research methodologies, examines the governance factors and requirements for responsible AI implementation in the public sector. The research methodology includes a comparative analysis of international AI governance frameworks and regulations. The study identifies key dimensions influencing responsible AI implementation, such as accountability, human oversight, ethical governance, legal compliance, risk management, and transparency. The findings demonstrate that the adoption of responsible AI cannot be achieved through technological means alone but also requires a commitment to comprehensive governance mechanisms. Furthermore, the sequential interaction and interdependence of governance factors reduce operational and societal risks, increase transparency and explainability, and foster public trust in the systems. This study contributes to enriching the culture and knowledge of AI governance, and the proposed framework helps government sector leaders develop responsible AI governance in accordance with international standards and regulations.
Ghazwan Hani Hussein, Faiza Mohamed, A. Abuzreda· Journal of Technology and Sy...· 0 citations
A normative analysis of thirteen recent studies on the challenges of technology implementation, ethical trust, and legal regulation suggests that the current governance dilemma stems not only from technological limitations but also from institutional neglect, which enables accountability avoidance.
It is argued that AI should be viewed as a supportive tool that enhances human administrative capabilities rather than replacing human decision-making to ensure that AI contributes to transparent, efficient, and inclusive governance.
Laxmi· Journal of Frontiers in Mult...· 0 citations
