Download PDFOpen PDF in browserEthical Considerations and Challenges in Implementing AI in HealthcareEasyChair Preprint 1406119 pages•Date: July 21, 2024AbstractThe rapid advancements in artificial intelligence (AI) have led to its increasing integration into various sectors, including healthcare. AI-powered technologies are being leveraged to enhance medical diagnosis, treatment planning, drug discovery, and patient care management. However, implementing AI in healthcare raises a myriad of ethical considerations and challenges that must be carefully navigated. As AI systems become more pervasive in healthcare, it is crucial to understand the potential implications and ensure that the deployment of these technologies aligns with established ethical principles and patient-centric values. The integration of AI in healthcare presents both opportunities and risks, and it is essential to address these concerns proactively to maintain public trust and ensure the ethical and responsible use of these technologies. This outline will explore the key ethical considerations and challenges that healthcare organizations and policymakers must address when implementing AI-driven solutions. It will delve into the issues surrounding privacy and data security, algorithmic bias and fairness, transparency and explainability, human-AI interaction and control, and the alignment of AI with clinical ethics. Additionally, the outline will discuss the technical, regulatory, and organizational barriers that healthcare systems may face in the successful and responsible deployment of AI technologies. By addressing these ethical considerations and challenges, healthcare providers and policymakers can pave the way for the ethical and responsible implementation of AI, ultimately enhancing patient outcomes, promoting equitable access to care, and preserving the trust and autonomy of healthcare consumers. Keyphrases: Artificial Intelligence, Healthcare providers, The rapid advancements, policymakers
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