Article Excerpt: While the integration of generative AI in health care holds significant potential to transform the practice of medicine and the health and well-being of patients, successful, ethical, and equitable implementation of generative AI requires careful consideration of the associated risks, says a new special publication from the National Academy of Medicine. Collaboration among health care providers, patients, policymakers, ethicists, and researchers, along with a cross-sector commitment to maximizing the benefit of generative AI while minimizing the risks, is important for navigating the complexities.
Artificial intelligence encompasses a broad range of technologies designed to perform complex tasks typically associated with human intelligence, such as reasoning, learning, and problem-solving. Generative AI is a type of artificial intelligence that focuses on creating new content by learning patterns from existing data, and it produces various types of content, including text, imagery, and audio. Large language models are a subset of generative AI that specializes in interpreting and generating human language to create text. Users of generative AI guide the creation of text using prompts and post-processing actions to further refine it and, if needed, correct errors, omissions, and fabrications.
Full Article: https://tinyurl.com/23yj99v9
Article Source: The National Academies