Ethical AI in Healthcare: Balancing Innovation and Responsibility
Abstract
The ethical deployment of artificial intelligence (AI) in healthcare is crucial to balancing innovation with responsibility. This paper examines the ethical challenges associated with AI in healthcare, including data privacy, algorithmic bias, and informed consent. We review frameworks and guidelines for ethical AI development and implementation, highlighting case studies of best practices. The paper also discusses the role of regulatory bodies, healthcare institutions, and technology developers in ensuring ethical AI use. Recommendations for policy development and ethical standards are provided to guide the responsible integration of AI in healthcare.