
Bional AI Transparency & Explainability Policy Framework is a comprehensive national policy framework developed to establish governance standards for transparency, explainability, accountability, and responsible deployment of Artificial Intelligence (AI) systems in Bangladesh. The framework proposes a risk-based regulatory architecture, institutional governance mechanisms, citizen rights, sector-specific standards, compliance requirements, transparency audits, AI impact assessments, public AI registries, and implementation pathways aligned with Bangladesh's Smart Bangladesh Vision 2041.Developed by the Atlas AI Institute, the framework aligns with internationally recognized AI governance standards, including the OECD AI Principles, UNESCO Recommendation on the Ethics of Artificial Intelligence, NIST AI Risk Management Framework (AI RMF 1.0), EU AI Act, ISO/IEC 42001, ISO/IEC 22989, and ISO/IEC TR 24028, while adapting these principles to Bangladesh's constitutional, institutional, and socioeconomic context. Bangladesh_AI_Transparency_Policy_Framework.pdfThe publication introduces the National AI Transparency Classification Framework (NATCF), the Bangladesh AI Transparency Authority (BAITA), AI Transparency Impact Assessments (AITIA), explainability standards, independent transparency audits, public AI registries, and sector-specific governance requirements covering government, healthcare, finance, education, agriculture, law enforcement, judiciary, telecommunications, employment, and social welfare. � �Bangladesh_AI_Transparency_Policy_Framework.pdfBangladesh_AI_Transparency_Policy_Framework.pdfThis framework is intended to support policymakers, legislators, regulators, researchers, public institutions, industry stakeholders, and civil society organizations in developing trustworthy, transparent, and human-centric AI governance systems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
