In recent years, the effective governance of artificial intelligence (AI) systems has become a
strategic necessity for many nations. Among those nations, Canada is particularly …

Cross‐sector partnerships (XSPs) are embraced by policymakers and practitioners to
address complex social and environmental challenges that no single sector can tackle …

The field of AIED, as defined by the work conducted under the auspices of the International
Society of Artificial Intelligence in Education, has been built on big and well-intentioned …

The research explores the relationship between Artificial Intelligence (AI) and electrification
in Africa, focusing on the challenges and emerging trends. The electrification deficit in Africa …

Global governance of artificial intelligence (AI) must grapple with four monumental
challenges. AI is a tough problem to govern given the speed, scale, and uncertainty of its …

This article explores the crucial role of state regulation and support for the advancement of
artificial intelligence (AI) in the energy sector. The authors argue that the integration of AI into …

In the weeks that followed the AI Safety Summit at Bletchley Park, reports of its
overwhelming success flooded ministerial statements and social media feeds. Just after the …

This paper explores the politicization of Artificial Intelligence (AI) within the EU, examining
the interplay between internal dynamics and external influences, particularly from the United …

This paper contributes to the understanding of the relationship between the nature of data
and the artificial intelligence (AI) technological trajectories, on the one hand, and on the …

Artificial intelligence (AI) governance is high on the agenda of national and international
policy, reflecting the view that future AI could and should be shaped by policy to mitigate …