Trustworthy Artificial Intelligence: Design of AI Governance Framework

This article presents the various challenges in the current system of AI governance and the correlation between data, algorithm, technology, governance, and geopolitics surrounding its successful implementation. The focal point of the article is the Adaptive-Hybrid AI Governance framework based on technical, ethical, and societal regulatory mechanisms that models trustworthy AI and the risks associated with it. The article highlights the need for trustworthy AI and how major countries are shaping their AI regulatory mechanisms. It presents a case study on AI governance in defence that elucidates ethical AI governance through various use cases.

Automated summary

This article discusses the challenges in the current AI governance system and the relationship between data, algorithm, technology, governance, and geopolitics in its successful implementation. It presents the Adaptive-Hybrid AI Governance framework that models trustworthy AI and associated risks through technical, ethical, and societal regulations. The article emphasizes the importance of trustworthy AI and examines how major countries are shaping their AI regulatory mechanisms. It also provides a case study on ethical AI governance in defense.