Summary
This arXiv paper (2609.10489) by Md. Masudul Islam, Mirza Niaz Morshed, and Md. Shafiqul Islam positions AI literacy not merely as a set of foundational technical skills but as a governance capacity that supports all 17 UN Sustainable Development Goals (SDGs). The authors introduce a six-level taxonomy of artificial intelligence reasoning and ethics that extends traditional learning models by incorporating ethical judgement and strategic foresight, forming the basis of an integrated framework linking education, governance, and sustainable development. A survey of 300 participants from diverse professional backgrounds within a national context found strong technical awareness but limited ethical and governance readiness, exposing critical gaps in public capacity for responsible AI management. The study's key finding is that ethical reasoning and reflective thinking are the strongest predictors of sustainable and trustworthy AI use. The authors recommend embedding literacy-based competencies into curricula, institutional policies, and governance mechanisms to accelerate equitable and responsible progress toward the SDGs.
Paper Overview
- arXiv: 2609.10489
- Authors: Md. Masudul Islam, Mirza Niaz Morshed, Md. Shafiqul Islam
- Posted: 2026-09-09
Abstract
AI literacy provides foundational competencies that support ethical, transparent, and sustainable technological development, although higher-order capabilities such as governance, critical evaluation, and strategic decision-making extend beyond basic literacy into advanced levels of AI competency. This study positions AI literacy as a governance capacity that complements and strengthens all 17 SDGs. It introduces a six-level taxonomy of artificial intelligence reasoning and ethics that extends traditional learning models by incorporating ethical judgement and strategic foresight. This taxonomy forms the foundation of an integrated framework linking education, governance, and sustainable development. A survey of 300 participants from diverse professional backgrounds within a national context reveals strong technical awareness but limited ethical and governance readiness, highlighting critical gaps in public capacity to manage artificial intelligence responsibly. Findings show that ethical reasoning and reflective thinking are the strongest predictors of sustainable and trustworthy artificial intelligence use. The study proposes embedding literacy-based competencies into curricula, institutional policies, and governance mechanisms to accelerate equitable and responsible progress toward the Sustainable Development Goals.Key Takeaways
- AI literacy is reframed as a governance capacity, extending beyond foundational skills to support all 17 UN SDGs.
- A six-level taxonomy of AI reasoning and ethics incorporates ethical judgement and strategic foresight into traditional learning models.
- Survey evidence (n = 300) shows a gap between strong technical awareness and weak ethical/governance readiness.
- Ethical reasoning and reflective thinking emerge as the strongest predictors of sustainable, trustworthy AI use.
- Recommendation: integrate AI literacy competencies into education, institutional policy, and governance frameworks.
*Auto-collected on 2026-09-11.*
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