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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
The book received positive reviews from critics, who singled out its exploration of issues like exploitation of labour and the environment, algorithmic bias, and false claims about AI's ability to recognize human emotion. [1] [2] The book was considered a seminal work by Anais Resseguier of Ethics and AI. [3]
Artificial Intelligence: A Guide for Thinking Humans is a 2019 nonfiction book by Santa Fe Institute professor Melanie Mitchell. [1] The book provides an overview of artificial intelligence (AI) technology, and argues that people tend to overestimate the abilities of artificial intelligence. [2] [3]
The tech company unleashed a makeover of its search engine in mid-May that frequently provides AI-generated summaries on top of search results. Google has largely defended its AI overviews feature ...
The book's first inspiration came in 2011, when Noble Googled the phrase "black girls" and saw results for pornography on the first page. [5] Noble's doctoral thesis, completed in 2012, was titled "Searching for Black girls: Old traditions in new media." [6] At this time, Noble thought of the title "Algorithms of Oppression" for the eventual ...
There are dozens of companies online offering AI-book writing services. My book was from BookByAnyone. When I contacted the chief executive Adir Mashiach, based in Israel, he told me he had sold ...
[4] Writing for Nature, Virginia Dignum gave the book a positive review, favorably comparing it to Kate Crawford's Atlas of AI. [5] In 2021, journalist Ezra Klein had Christian on his podcast, The Ezra Klein Show, writing in The New York Times, "The Alignment Problem is the best book on the key technical and moral questions of A.I. that I’ve ...
The book begins by positing a scenario in which AI has exceeded human intelligence and become pervasive in society. Tegmark refers to different stages of human life since its inception: Life 1.0 referring to biological origins, Life 2.0 referring to cultural developments in humanity, and Life 3.0 referring to the technological age of humans.
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