The development, implementation, and oversight of artificial intelligence in health care: Legal and ethical issues

• Jenna Becker ^[1] ; Sara Gerke ; I. Glenn Cohen
  1. [1] Harvard University

     Harvard University

     City of Cambridge, Estados Unidos

     
• Localización: Handbook of bioethical decisions / coord. por Erick Valdés, Juan Alberto Lecaros Urzúa, Vol. 1, 2023 (Handbook of Bioethical Decisions. Volume I. Decisions at the Bench), ISBN 9783031294501, págs. 441-456
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Artificial Intelligence (AI), especially of the machine learning (ML) variety, is used by health care organizations to assist with a number of tasks, including diagnosing patients and optimizing operational workflows. AI products already proliferate the health care market, with usage increasing as the technology matures. Although AI may potentially revolutionize health care, the use of AI in health settings also leads to risks ranging from violating patient privacy to implementing a biased algorithm. This chapter begins with a broad overview of health care AI and how it is currently used. We then adopt a “lifecycle” approach to discussing issues with health care AI. We start by discussing the legal and ethical issues pertaining to how data to build AI are gathered in health care settings, focusing on privacy. Next, we turn to issues in algorithm development, especially algorithmic bias. We then discuss AI deployment to treat patients, focusing on informed consent. Finally, we will discuss existing oversight mechanisms for health AI in the United States: liability and regulation.