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Persuasive text and persuasive digital speech can be examined as AI rhetoric when the text or speech is a product or output of advanced machines that mimic human communication in some way. Historical examples of fictional artificial intelligence capable of speech are portrayed in mythology, folk tales, and science fiction. [1]
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
Writing review articles, for example, is a task well suited to AI: it involves sifting through the existing research on a subject, analyzing the results, reaching a conclusion about the state of ...
AI research in the 1950s and 60s had an enormous influence on intellectual history: it inspired the cognitive revolution, led to the founding of the academic field of cognitive science, and was the essential example in the philosophical theories of computationalism, functionalism and cognitivism in ethics and the psychological theories of ...
The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian.It is based on numerous interviews with experts trying to build artificial intelligence systems, particularly machine learning systems, that are aligned with human values.
Digital image of artificial intelligence human brain on black background. Credit - Getty Images-Andriy Onufriyenko. G enerative AI—think Dall.E, ChatGPT-4, and many more—is all the rage.It’s ...
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
“For example, we limit recommendations for teens in the U.S. of content that compares physical features, idealizes some types over others, or idealizes specific fitness levels or body weights ...
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