Ethical Implications of ChatGPT in Ghana: Navigating Human-AI Collaboration

Silas Adjei *

Pentecost University, Ghana.

Paa Kofi Tawiah Adu Gyamfi

Pentecost University, Ghana.

Franklin Owusu Agyei

University of Ghana, Ghana.

Samuel Babbington Norteye

Alsyd Academy, Ghana.

*Author to whom correspondence should be addressed.


Abstract

The rapid advancement of artificial intelligence (AI) has transformed many industries worldwide, with ChatGPT emerging as a significant tool for automating tasks, enhancing communication, and facilitating human-AI collaboration. In Ghana, the adoption of AI technologies, including ChatGPT, is growing across sectors such as education, finance, and customer service. However, this rise brings ethical challenges related to data privacy, algorithmic bias, transparency, and potential job displacement. This study investigates the ethical considerations of ChatGPT use in Ghana by exploring the awareness, perceptions, and challenges experienced by professionals within the University of Ghana Computing Systems. Using a qualitative approach, in-depth semi-structured interviews were conducted with 15 senior staff members. Thematic analysis identified critical concerns including accuracy and reliability of ChatGPT outputs, misinformation risks, the need for enhanced AI literacy, and biased decision-making. The findings emphasize the urgent need for localized ethical AI governance frameworks to support responsible AI adoption in Ghana. This research contributes valuable insights to the discourse on AI ethics in developing countries and informs policy and practice for integrating AI technologies in Ghana’s evolving digital ecosystem.

Keywords: Artificial Intelligence, ChatGPT, AI ethics, Ghana, qualitative study, AI governance, algorithmic bias


How to Cite

Adjei, Silas, Paa Kofi Tawiah Adu Gyamfi, Franklin Owusu Agyei, and Samuel Babbington Norteye. 2025. “Ethical Implications of ChatGPT in Ghana: Navigating Human-AI Collaboration”. Journal of Scientific Research and Reports 31 (6):443-49. https://doi.org/10.9734/jsrr/2025/v31i63142.

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