Responsible AI Adoption in Healthcare: Opportunities and Challenges

Abstract

An ethically and legally sound approach to creating and using artificial intelligence (AI) is known as responsible intelligence (AI). Responsible AI in healthcare can improve the field and enhance patient care, diagnosis, and treatment. According to these estimates, the adoption of AI in healthcare might significantly lower costs. However, ensuring ethical AI implementation presents difficulties that need considerable thought. To avoid harm and preserve trust, ethical concerns, including those related to privacy and bias, must be addressed. For accountability and transparency to be guaranteed, regulatory frameworks must change to reflect the changing reality of AI. For the purpose of designing and implementing responsible AI practices, stakeholder collaboration is essential. The World Health Organization has offered guidelines for the governance and ethics of AI in the healthcare industry. A primary area of research is how AI-related technologies and activities can be implemented responsibly. Dashboards and scorecards for responsible AI can offer information and accountability. The current paper presents an overview of responsible AI and its different techniques, challenges, opportunities, and applications in health care.

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