How do leaders, policymakers and regulators gain the right insights to enable them shape policies and oversight models for emerging and frontier technologies, especially AI?
AI & the Future of Work
Can governments, AI developers and other stakeholders, collaborate globally to establish effective governance frameworks for tackling and mitigating AI-induced labor disruption?
AI for Economic Transformation
For the world's developing and emerging economies, what are the most significant avenues and approaches to drive new growth opportunities, leveraging AI and emerging technologies?
Kofi Dadzie
A seasoned leader at the intersection of technology, entrepreneurship, and policy, with global experience driving innovation across emerging markets. Co-founder and former CEO of Rancard, a pioneering company in AI-powered engagement platforms and data graph technology. Aspen Global Leadership Network Fellow and Harvard Kennedy School Mason Fellow.
Areas of Focus & Key Engagements
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www.imfconnect.org
New Economy Forum: Artificial Intelligence - Leapfrogging Potential in Africa
How gen AI can drive sustainable development across Africa by leveraging unique regional strengths
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Medium
Why We Should Not Be Afraid of Artificial Intelligence
An opinion on the benefits versus the risks of AI adoption
Comprehensive analysis of innovation ecosystems and strategic technology adoption models for sustainable development
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World Bank - Econothon: Focus on Future of Work in Africa
Panel discussion on ways in which digital technologies are changing the landscape of work and the need for relevant skills
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Mitigating AI-Induced Labor Disruption
Can governments, AI platform developers, and users collaboratively establish a governance framework that tackles the unresolved challenges of quantifying AI’s productivity gains, funding mitigation for displaced workers, and safeguarding social cohesion amid AI-induced labor disruption?
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AI Alignment Governance AI Alignment Governance Models
Can a multi-layered AI alignment framework—combining global safety, jurisdictional rules, and user-configured values through a calibration model—enable more context-aware and accountable AI behavior?