National Strategy for Artificial Intelligence Bangladesh
The National Strategy for Artificial Intelligence Bangladesh outlines a comprehensive framework to leverage AI for sustainable socio-economic development and digital transformation. It establishes national priorities across seven key sectors, including public service delivery, manufacturing, agriculture, transportation, education, finance, and health. Furthermore, the strategy defines six core pillars covering R&D, skilling, data and digital infrastructure, ethics and regulations, start-up funding, and industrialization.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, industry leaders, and public sector bodies seeking to understand or contribute to Bangladesh's national AI roadmap.
What the document contains
The document covers national AI priorities, sector-specific application scopes and recommendations, a five-year development roadmap structured across six strategic pillars, and an analysis of implementation challenges.
The text does not contain legally binding compliance enforcement mechanisms, penalties, or detailed technical definitions for proprietary AI systems.
- Bangladesh aims to use artificial intelligence as an accelerator for its digital transformation and sustainable development goals.
- The strategy identifies seven national priority sectors for AI intervention, ranging from public service delivery to health and agriculture.
- Six strategic pillars outline the national roadmap: research and development, workforce skilling, data infrastructure, ethics and regulations, start-up funding, and industrialization.
- Key challenges include data accessibility, a shortage of skilled AI talent, connectivity limitations, and addressing technological unemployment.
· Executive Summary · Chapter 1: Digital Bangladesh and Artificial Intelligence · Chapter 2: Leveraging AI for Social and Economic Growth · Chapter 3: AI for Different Sectors of Bangladesh · Chapter 4: AI Strategy & Development Roadmap · Chapter 5: The Challenges · Chapter 6: Conclusion
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
there are no clear rules about who will be responsible for an unwanted inversion.
5.7 ACCOUNTABILITY, TRANSPARENCY & PRIVACY
screening score · 2026-10-23
Fairness
2/5Non-discrimination and equitable treatment
The AI strategy will create a new set of AI ethics guidelines to address issues such as fairness, safety, cyber security, and transparency.
STRATEGY 04: ETHICS, DATA PRIVACY, SECURITY & REGULATIONS
screening score · 2026-10-23
Human Dignity
2/5Respect for the inherent worth of persons
As we surrender control to machines in different parts of our lives, there is also a concern that people will lose a portion of the importance in their roles.
5.8 HUMAN DIGNITY, AUTONOMY & PSYCHOLOGICAL IMPACT
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
Information privacy protection turns into an essential worry to data security for cutting edge technology.
STRATEGY 04: ETHICS, DATA PRIVACY, SECURITY & REGULATIONS
screening score · 2026-10-23
Transparency
2/5Openness about how AI systems work and are used
The lack of transparency and ability, related to machine learning can bring an overturn.
5.7 ACCOUNTABILITY, TRANSPARENCY & PRIVACY
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Ensure Enforcement Of Laws And Polices
STRATEGY 04: ETHICS, DATA PRIVACY, SECURITY & REGULATIONS
screening score · 2026-10-23
Impact Assessment
2/5Required assessment of an AI system's risks/impacts before or during use
Assessment of Social and Economic Progress
STRATEGY 06: INDUSTRIALIZATION OF AI TECHNOLOGIES
screening score · 2026-10-23