Five-tier governance levers for embedding AI literacy into practice¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article proposes five governance tiers through which AI literacy is operationalized: policy and legislation, institutional regulation, educational implementation, technological infrastructure, and community and public engagement. It states that "Governance levers are institutional and policy mechanisms that embed AI literacy into real -world practice," and that applied collectively these levers transform literacy from a pedagogical concern into a governance instrument. Each tier is linked to enabling environments and SDG targets, such as citizen assemblies and participatory audits under community engagement.

Design Implications¶

Context¶

Requirements¶

• Enabling environments per tier, e.g. government ministries for policy, universities and regulators for institutional regulation, civil society and media for community engagement

Constraints¶

• The lever taxonomy is a conceptual synthesis; its effectiveness in producing equitable and sustainable development outcomes is not empirically tested in the available text

Target Learners¶

• policymakers, institutions, educators, and civil society actors implementing AI literacy governance

Target Learning Goals¶

• institutionalizing AI literacy as public competency and democratic participation in AI governance

Related Strategies¶

• Build institutional AI literacy and transparent risk-communication governance for agentic AI browsers

Examples¶

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Key Sources¶

• Md. Masudul Islam, Mirza Niaz Morshed, Md. Shafiqul Islam. (2025). Artificial Intelligence Literacy and Sustainable Development: An Ethical Governance and Development Goals Framework. https://orcid.org/0000-0001-7643-5420