Artificial Intelligence Transparency and Explainability in Sustainable Healthcare

Shafik, Wasswa and Singh, Rubee and Kumar, Vikas (2025) Artificial Intelligence Transparency and Explainability in Sustainable Healthcare. In: Transforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability. Approaches to Global Sustainability, Markets, and Governance. Springer, pp. 165-191.

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Abstract

In the period of fast technical innovation, artificial intelligence (AI) has become a transformative force within the medical care market. This study explores the crucial measurements of AI application in healthcare, with a primary concentrate on cultivating openness, interpretability, and cooperation to make specific lasting methods. It establishes the stage by highlighting the crucial function of AI in healthcare. It highlights the necessity of incorporating concepts of openness and interpretability right into AI systems’ materials. This structure is essential for developing trust funds amongst stakeholders and advertising liable AI implementation within the healthcare environment. Furthermore, it illuminates the nuanced meanings of openness within the healthcare context, browsing regulative factors to consider and providing studies that brighten effective executions of clear AI in healthcare decision-making procedures. It better explores the details of interpretability and explainability, highlighting their value in boosting the human understanding of AI-driven healthcare choices. Methods and approaches for providing AI choices that are understandable to medical care experts are talked about thoroughly. Human–AI partnership becomes a critical motif in the story, diving right into the collaborating connection between healthcare specialists and AI systems. Techniques for reliable cooperation exist, showcasing exactly how human-in-the-loop techniques boost the total performance and dependability of AI applications in medical care. It checks out the intricacies related to releasing transparent and interpretable AI, describes the instructional requirements of medical care experts involved with AI, and challenges dominating resistance and apprehension within the market. Preparing for the future, the conversation reaches possible study instructions, discovering arising patterns and innovations positioned to form the future landscape of medical care AI. The chapter wraps up with the ongoing study, advancement, and authentic factors to consider, leading the way for a future where AI perfectly incorporates medical care, guaranteeing both development and sustainability.

Item Type:	Book Section
Identification Number:	10.1007/978-981-97-9555-0_9
Dates:	Date Event 23 January 2025 Published
Uncontrolled Keywords:	Artificial Intelligence, Transparency, Interpretability, Explainability Artificial Intelligence, Sustainable Healthcare, Sustainable Cities and Communities
Subjects:	CAH17 - business and management > CAH17-01 - business and management > CAH17-01-02 - business studies
Divisions:	Faculty of Business, Law and Social Sciences > College of Business, Digital Transformation & Entrepreneurship
Depositing User:	Gemma Tonks
Date Deposited:	05 Feb 2025 10:00
Last Modified:	05 Feb 2025 10:00
URI:	https://www.open-access.bcu.ac.uk/id/eprint/16119

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