Efficiency and Challenge of Adoption of Artificial Intelligence of Bangladeshi IT Workforce: A Review

Approved

Positive Comments:

1. Relevance and Originality: This paper is highly relevant, addressing the impact of artificial intelligence (AI) on the IT industry in Bangladesh, a developing nation. The focus on the efficacy and challenges of AI adoption in this context is original and significant, especially given the emerging role of AI in global modernization.
2. Methodology: The use of diffusion of innovation theory provides a solid theoretical framework for exploring factors influencing AI acceptance and resistance. This approach helps in understanding the socio-cultural and economic dynamics affecting AI adoption in Bangladesh.
3. Validity & Reliability: The paper effectively identifies and discusses key challenges such as lack of data sources, inadequacy of trained personnel, and ethical issues. These insights are crucial for understanding the barriers to AI implementation and can guide future research and policy-making.
4. Clarity and Structure: The review is well-structured, presenting a clear examination of the current state of AI in Bangladesh and offering practical strategies for improvement. The focus on integrating AI with training programs that ensure human safety and well-being adds a valuable dimension to the discussion.

Negative Comments:

1. Relevance and Originality: While the focus on Bangladesh is important, the paper might benefit from a comparative analysis with other developing countries to provide a broader context for AI adoption challenges and strategies.
2. Methodology: The review could be enhanced by including empirical data or case studies that illustrate the real-world application and impact of AI in Bangladesh's IT sector. This would provide a more concrete understanding of the challenges and effectiveness of proposed strategies.
3. Validity & Reliability: The paper highlights significant challenges but could benefit from a deeper analysis of the specific implications of these challenges on AI implementation. For instance, exploring the practical consequences of the lack of data sources or trained personnel would strengthen the discussion.
4. Clarity and Structure: Although the paper is well-organized, it could be more effective if it included a detailed discussion on how the suggested strategies for integrating AI with training programs can be practically implemented. Providing actionable steps or examples would improve the clarity of how to address the identified challenges.