Exploring the Ethical Implications of Generative AI in Healthcare

Exploring the Ethical Implications of Generative AI in Healthcare

Dinesh Kumar, Rohit Dhalwal, Ayushi Chaudhary
Copyright: © 2024 |Pages: 16
DOI: 10.4018/979-8-3693-2964-1.ch011
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Abstract

This chapter critically evaluates the ethical challenges posed by the advent of generative artificial intelligence (GenAI) in healthcare. It investigates how GenAI's potential to revolutionize patient care and medical research is counterbalanced by significant ethical concerns, including privacy, security, and equity. An extensive literature review supports a deep dive into these issues, comparing GenAI's impact on traditional healthcare ethics. Through case studies and theoretical analysis, the chapter seeks to understand GenAI's ethical implications thoroughly, aiming to contribute to the development of nuanced ethical frameworks in this rapidly advancing area.
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Objectives Of The Chapter

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    To provide an in-depth overview of the applications and potential of generative AI in healthcare.

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    To identify and articulate the key ethical issues of deploying generative AI in healthcare.

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    To thoroughly examine the complexities and broader implications of these ethical challenges.

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    To develop ethical frameworks and strategies to address these concerns.

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Exploration Of Current Applications Of Genai

The integration of GenAI into healthcare has revolutionised various aspects of medical practice and research. This section explores the current applications of generative AI in healthcare, illustrating its transformative impact.

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