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 findings demonstrate that the adoption of responsible AI cannot be achieved through technological means alone but also requires a commitment to comprehensive governance mechanisms, and the sequential interaction and interdependence of governance factors reduce operational and societal risks, increase transparency a...
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
The study demonstrates how MHC can be translated from an ethical principle into governance practice and shows that meaningful control depends not only on human involvement in decisions, but also on defined purposes and boundaries, operational procedures for review and correction, legal safeguards, and institutional cap...
Tak-Ming Yu, Xia Zheng, Hoi-Kuen Ng· AI and Ethics· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.