Ethical Dimensions of AI in Healthcare: Balancing Innovation and Responsibility

Abstract

As AI becomes increasingly integral to healthcare, ethical considerations surrounding its use are paramount. This paper delves into key ethical challenges, including data privacy, algorithmic bias, and the transparency of AI decision-making processes. Case studies highlighting both the benefits and risks of AI in clinical settings are discussed, alongside strategies to ensure responsible AI deployment. The paper concludes with recommendations for policymakers, healthcare providers, and technologists to create a framework that prioritizes patient welfare and equitable access.