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Implementing AI Ethics in Bangladesh’s Emerging IT Sector: Insights on Ethical AI Development from Practitioners

Elahi, Tawfique LU and Srinivasa, Hema LU (2024) INFM10 20241
Department of Informatics
Abstract
This study investigates the perceptions and implementation of AI ethics principles among AI practitioners in the Bangladeshi IT sector. Through qualitative research, including semi-structured interviews with key informants, the study reveals significant variations in awareness and application of AI ethics principles such as fairness, privacy, transparency, robustness, and explainability. The findings highlight several challenges, including socio-economic barriers, a lack of formal training programs, and insufficient government regulations, which hinder the consistent application of ethical principles. The study emphasizes the critical role of organizational culture and top-level support in fostering ethical AI practices. Recommendations... (More)
This study investigates the perceptions and implementation of AI ethics principles among AI practitioners in the Bangladeshi IT sector. Through qualitative research, including semi-structured interviews with key informants, the study reveals significant variations in awareness and application of AI ethics principles such as fairness, privacy, transparency, robustness, and explainability. The findings highlight several challenges, including socio-economic barriers, a lack of formal training programs, and insufficient government regulations, which hinder the consistent application of ethical principles. The study emphasizes the critical role of organizational culture and top-level support in fostering ethical AI practices. Recommendations include establishing structured training programs, developing comprehensive regulatory frameworks, and promoting a culture that aligns corporate philosophies with ethical AI development. Future research could involve testing the existing frameworks such as ECCOLA, RESOLVEDD, and HROE within Bangladeshi IT organizations and exploring the effectiveness of various regulatory frameworks and their enforcement mechanisms. (Less)
Please use this url to cite or link to this publication:
author
Elahi, Tawfique LU and Srinivasa, Hema LU
supervisor
organization
course
INFM10 20241
year
type
H1 - Master's Degree (One Year)
subject
keywords
Artificial Intelligence (AI), AI ethics principles, Ethical AI development, Bangladeshi IT sector
language
English
id
9165716
date added to LUP
2024-06-19 10:28:44
date last changed
2024-06-19 10:28:44
@misc{9165716,
  abstract     = {{This study investigates the perceptions and implementation of AI ethics principles among AI practitioners in the Bangladeshi IT sector. Through qualitative research, including semi-structured interviews with key informants, the study reveals significant variations in awareness and application of AI ethics principles such as fairness, privacy, transparency, robustness, and explainability. The findings highlight several challenges, including socio-economic barriers, a lack of formal training programs, and insufficient government regulations, which hinder the consistent application of ethical principles. The study emphasizes the critical role of organizational culture and top-level support in fostering ethical AI practices. Recommendations include establishing structured training programs, developing comprehensive regulatory frameworks, and promoting a culture that aligns corporate philosophies with ethical AI development. Future research could involve testing the existing frameworks such as ECCOLA, RESOLVEDD, and HROE within Bangladeshi IT organizations and exploring the effectiveness of various regulatory frameworks and their enforcement mechanisms.}},
  author       = {{Elahi, Tawfique and Srinivasa, Hema}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Implementing AI Ethics in Bangladesh’s Emerging IT Sector: Insights on Ethical AI Development from Practitioners}},
  year         = {{2024}},
}