Table of Contents
Fetching ...

Bangladesh AI Readiness: Perspectives from the Academia, Industry, and Government

Sharifa Sultana, Rupali Samad, Mehzabin Haque, Zinnat Sultana, Zulkarin Jahangir, B M Mainul Hossain, Rashed Mujib Noman, Syed Ishtiaque Ahmed

TL;DR

A multi-method qualitative study of AI readiness in Bangladesh is presented, combining institutional analyses, 59 stakeholder interviews, and curriculum benchmarking against global exemplars to reveal outdated curricula, limited faculty upskilling, inadequate computing resources, entrenched gender disparities, and the near-total absence of AI ethics instruction.

Abstract

Artificial Intelligence (AI) readiness in the Global South extends beyond infrastructure to include curriculum design, workforce development, and cross-sector collaboration. Bangladesh, ranked 82nd in the 2023 Oxford Insights AI Readiness Index, exhibits significant deficits in technology capacity and research ecosystems, despite strong governmental visions. While HCI and ICTD research have explored digital inclusion and responsible AI, little empirical work examines how educational, industrial, and policy domains intersect to shape readiness. We present a multi-method qualitative study of AI readiness in Bangladesh, combining institutional analyses, 59 stakeholder interviews, and curriculum benchmarking against global exemplars. Findings reveal outdated curricula, limited faculty upskilling, inadequate computing resources, entrenched gender disparities, and the near-total absence of AI ethics instruction. We contribute empirical mapping of current practices, identification of structural and cultural barriers, and actionable pathways for embedding human-centered, inclusive, and responsible AI practices into national agendas, advancing equitable innovation in emerging AI ecosystems.

Bangladesh AI Readiness: Perspectives from the Academia, Industry, and Government

TL;DR

A multi-method qualitative study of AI readiness in Bangladesh is presented, combining institutional analyses, 59 stakeholder interviews, and curriculum benchmarking against global exemplars to reveal outdated curricula, limited faculty upskilling, inadequate computing resources, entrenched gender disparities, and the near-total absence of AI ethics instruction.

Abstract

Artificial Intelligence (AI) readiness in the Global South extends beyond infrastructure to include curriculum design, workforce development, and cross-sector collaboration. Bangladesh, ranked 82nd in the 2023 Oxford Insights AI Readiness Index, exhibits significant deficits in technology capacity and research ecosystems, despite strong governmental visions. While HCI and ICTD research have explored digital inclusion and responsible AI, little empirical work examines how educational, industrial, and policy domains intersect to shape readiness. We present a multi-method qualitative study of AI readiness in Bangladesh, combining institutional analyses, 59 stakeholder interviews, and curriculum benchmarking against global exemplars. Findings reveal outdated curricula, limited faculty upskilling, inadequate computing resources, entrenched gender disparities, and the near-total absence of AI ethics instruction. We contribute empirical mapping of current practices, identification of structural and cultural barriers, and actionable pathways for embedding human-centered, inclusive, and responsible AI practices into national agendas, advancing equitable innovation in emerging AI ecosystems.
Paper Structure (40 sections, 3 figures, 4 tables)

This paper contains 40 sections, 3 figures, 4 tables.

Figures (3)

  • Figure 1: Cumulative Citation Analysis of Total Citation vs Average Citation per faculty in AI/ML fields in Bangladeshi Universities
  • Figure 2: Gender Distribution of Faculty Engaged in AI Teaching and Research Across Major Bangladeshi Universities
  • Figure 3: Gender Distribution of AI Engineers in Leading Bangladeshi Tech Companies