Balancing Ethics and Utility in Healthcare AI

As AI continues to shape the future of healthcare, addressing its ethical design and use becomes increasingly significant. This paper proposes a unified utilitarian ethics framework for healthcare AI, based on a thematic analysis that delves into ethical principles at various technological stages—data access, algorithms, and systems. The paper lays out key points such as:

• Core Ethical Principles: Issues of justice, privacy, bias, regulatory gaps, risks, and interpretability stand out as primary ethical concerns.
• Data-Driven Study: Analysis of expert surveys identifies top ethical considerations in AI design.
• Utilitarian Framework Proposition: The authors recommend a theoretical, ethics-based framework aiming to resolve these identified ethical dilemmas.

Explore the framework proposal here.

This study presents an important shift towards a utilitarian approach to ethical AI in healthcare, which I find critical for the acceptance and effectiveness of AI applications. Providing a structured framework also gives stakeholders a reference for developing and evaluating AI systems that align with ethical standards, thus shaping a more responsible AI-driven healthcare environment.