Ethical Considerations in AI-assisted Decision- Making for End-Of-Life Care in Healthcare.

Abstract

This paper delves into the ethical implications of deploying artificial intelligence (AI) in decision-making processes related to end-of-life care within healthcare settings. As AI continues to advance, its integration in healthcare introduces both opportunities and challenges, particularly in navigating the sensitive realm of end-of-life care. The paper explores this intersection, seeking to contribute valuable insights to the ongoing discourse on responsible AI implementation in the healthcare sector. Central to ethical considerations in end-of-life care is the principle of autonomy, emphasizing the importance of respecting patients' ability to make informed decisions about their care preferences. The paper argues for the need to design AI systems that augment rather than diminish patient autonomy, ensuring that individuals facing end-of-life decisions remain active participants in the process. Furthermore, the principles of beneficence and non-maleficence are highlighted, emphasizing the imperative for AI systems to enhance patient well-being while minimizing the risk of harm, both physical and psychological. Justice in the distribution of healthcare resources, including AI technologies, is crucial, and the paper emphasizes the need to address potential disparities in access. Transparent and explainable AI systems are advocated to foster trust among patients, families, and healthcare providers, enabling a better understanding of the rationale behind AI-driven recommendations. [1] The concept of accountability is explored, emphasizing the continued responsibility of healthcare professionals in overseeing and validating AI recommendations to maintain ethical standards. Cultural sensitivity is identified as a key consideration, recognizing and respecting diverse perspectives on end-of-life care. The paper underscores the significance of designing AI systems that accommodate cultural nuances and avoid imposing values that may conflict with patients' beliefs and preferences. Additionally, the emotional and psychological impact of AI-assisted decision-making is addressed, emphasizing the importance of maintaining the human touch in end-of-life care and acknowledging the roles of empathy, compassion, and human connection. The paper provides a comprehensive examination of the ethical dimensions surrounding AI-assisted decision-making in end-of-life care. By addressing autonomy, beneficence, justice, transparency, accountability, cultural sensitivity, and emotional impact, it offers a framework for responsible AI integration that aligns with ethical principles in healthcare, ultimately contributing to the enhancement of end-of-life care practices.