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The Third UN is the ecology of supportive non-state actors-intellectuals, scholars, consultants, think tanks, NGOs, the for-profit private sector, and the media-that interacts with the intergovernmental machinery of the First UN (member states) and the Second UN (staff members of international secretariats) to formulate and refine ideas and decision-making at key junctures in policy processes. Some advocate for particular ideas, others help analyze or operationalize their testing and implementation; many thus help the UN 'think'. While think tanks, knowledge brokers, and epistemic communities are phenomena that have entered both the academic and policy lexicons, their intellectual role remains marginal to analyses of such intergovernmental organizations as the United Nations.
Urges governments to expand quality education for all, increase community access to information and communication technology, and improve cross-border scientific knowledge-sharing, in an effort to narrow the digital and "knowledge" divides between the North and South and move towards a "smart" form of sustainable human development.
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]