Ethical Considerations of Deploying AI-Driven Diagnostic Tools in Under-resourced Healthcare Systems of Developing Countries

Abstract

The integration of Artificial Intelligence (AI) in healthcare, particularly in the form of diagnostic tools, presents a promising avenue for enhancing medical services in developing countries, where resources are often scarce and healthcare systems face numerous challenges. However, the deployment of such technologies is accompanied by a complex web of ethical considerations that must be thoroughly evaluated. This paper delves into these ethical issues, focusing on under-resourced healthcare systems in developing countries. We explore the potential benefits, such as improved diagnostic accuracy and accessibility to quality healthcare, alongside critical ethical concerns including data privacy, bias and fairness, accountability, and the digital divide. The study highlights the importance of establishing robust ethical frameworks and guidelines to navigate these challenges effectively. It underscores the need for a balanced approach that leverages AI's capabilities to enhance healthcare delivery while safeguarding against potential harms and ethical pitfalls. The paper concludes with recommendations for policy makers, healthcare providers, and AI developers to ensure ethical and equitable deployment of AI-driven diagnostic tools in these regions.