Ethical Artificial Intelligence in Nursing Workforce Management and Policymaking: Bridging Philosophy and Practice

Abstract

This paper is the first to present a theoretical framework for ethically integrating AI into nursing workforce management and policymaking, grounded in its robust philosophical underpinnings. It stands out for its creativity and originality, making a significant contribution by opening new avenues for emerging research and development at the intersection of AI and healthcare. Specifically, the framework serves as a practical and pivotal resource for researchers, policymakers, and healthcare administrators navigating the complex landscape of AI integration in nursing workforce management and policymaking. Above all, it is worthwhile in that this paper contributes to the broader intellectual discourse in a thought-provoking and timely manner by addressing AI's inherent limitations in healthcare through a theoretical framework embedded in human philosophical and ethical deliberation. Unlike the current practice where AI safety and ethical risk assessment are conducted after AI solutions have been developed, this approach provides proactive guidance. Thereby, it lays the crucial groundwork for future empirical studies and practical implementations toward desirable healthcare decision-making.

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