A Critical Analysis of AI-Driven Decisions in Healthcare, Finance, and Law Enforcement

Abstract

Artificial Intelligence (AI) is revolutionizing decision-making across critical sectors such as healthcare, finance, and law enforcement. While AI-driven systems enhance efficiency, reduce human error, and improve predictive capabilities, they also raise significant legal and ethical concerns regarding accountability, bias, and liability. This paper critically analyses the legal implications of AI-generated decisions, focusing on issues such as medical misdiagnosis, financial fraud, and wrongful arrests. It explores existing regulatory frameworks, challenges in attributing responsibility, and potential reforms to ensure transparency and fairness. The study underscores the necessity for a balanced approach that fosters innovation while safeguarding fundamental rights and justice. It also explores potential reforms, including stricter oversight mechanisms, transparency requirements, and liability frameworks to ensure accountability while fostering innovation. By striking a balance between technological advancement and legal safeguards, this study aims to contribute to the ongoing discourse on responsible AI governance.