ETHICAL CONSIDERATIONS IN AI-BASED DECISION-MAKING SYSTEMS

Abstract

Artificial Intelligence (AI)-based decision-making systems are increasingly deployed across various domains, from healthcare and finance to criminal justice and governance. While these systems offer significant efficiency and accuracy improvements, they raise complex ethical challenges regarding transparency, fairness, accountability, and privacy. This article explores key ethical considerations inherent in AI decision-making, particularly within the socio-cultural and regulatory context of Pakistan. It discusses bias mitigation, explainability, data privacy, and the societal impact of automated decisions. The study includes graphical analyses of public trust, ethical risk areas, and regulatory frameworks. Recommendations are provided to promote responsible AI deployment that aligns with ethical standards and societal values.