// INNOVATIVE TECHNOLOGY, DIGITALISATION AND ARTIFICIAL INTELLIGENCE: ARTIFICIAL INTELLIGENCE
T he contours of the governance of artificial intelligence, although still nascent, are beginning to become more clear. While the private sector actively competes to deliver AI services amid surging demand, policymakers and observers increasingly call for appropriate safeguards to ensure that AI development fulfils its promises of economic growth and social advancement. Amid growing demand and fierce private-sector competition to develop and deploy AI technologies, there is a parallel push from policymakers, scholars and civil society groups for robust safeguards. Despite a shared aspiration to harness AI for economic growth and social advancement, significant differences remain in how countries envision and approach AI governance. DIVERGENT APPROACHES TO AI GOVERNANCE Across the globe, AI governance frameworks typically focus on three key dimensions: regulatory structures,
The G7 and the future of AI governance
As the development of AI governance gathers pace, the G7 can lead the way in shaping global standards, fostering consensus and developing ethical frameworks to drive the responsible and equitable use of artificial intelligence
Kenddrick Chan, LSE IDEAS, and Chris Alden, professor of international relations, LSE
66 // G7 CANADA: THE KANANASKIS SUMMIT 2025
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