Three Epochs of Artificial Intelligence in Health Care
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Abstract
Importance: Interest in artificial intelligence (AI) has reached an all-time high, and health care leaders across the ecosystem are faced with questions about where, when, and how to deploy AI and how to understand its risks, problems, and possibilities. Observations: While AI as a concept has existed since the 1950s, all AI is not the same. Capabilities and risks of various kinds of AI differ markedly, and on examination 3 epochs of AI emerge. AI 1.0 includes symbolic AI, which attempts to encode human knowledge into computational rules, as well as probabilistic models. The era of AI 2.0 began with deep learning, in which models learn from examples labeled with ground truth. This era brought about many…
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3Topics & keywords
Topics
Keywords
- Artificial intelligence
- Transformative learning
- Meaning (existential)
- Deep learning
- Relevance (law)
- Generative grammar
- Computer science
- Health care
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