2019
DOI: 10.1177/1354856519829679
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Deep new: The shifting narratives of artificial intelligence from Deep Blue to AlphaGo

Abstract: The article compares two key events that marked the narratives around the emergence of artificial intelligence (AI) in two different time frames: the game series between the Russian world champion Garry Kasparov and the IBM supercomputer Deep Blue held in New York in 1997, and the Go game series between the South Korean champion Lee Sedol and DeepMind’s AI AlphaGo held in Seoul in 2016. Relying on a corpus of primary and secondary sources such as newspapers and specialized magazines, biographic books, the live… Show more

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Cited by 53 publications
(42 citation statements)
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“…In contrast, an AI algorithm learns the rules (function) from training data (input) presented to it. Major milestones in the history of AI include the Deep Blue computer outmatching the world chess champion, Gary Kasparov, in 1997 and AlphaGo defeating one of the best players (ranked 9-dan) of the ancient Chinese game of Go, Lee Sedol, in 2016 4 .…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, an AI algorithm learns the rules (function) from training data (input) presented to it. Major milestones in the history of AI include the Deep Blue computer outmatching the world chess champion, Gary Kasparov, in 1997 and AlphaGo defeating one of the best players (ranked 9-dan) of the ancient Chinese game of Go, Lee Sedol, in 2016 4 .…”
Section: Introductionmentioning
confidence: 99%
“…Interviewee 5Interviewees also spoke about the different actors who had a role to play in expectation generation. In line with previous literature (Bory, 2019), Interviewee 10 used the example of Google DeepMind's Alpha Go -the first computer programme to beat a professional human player at the board game Go -to highlight industry's role in promoting hype. Widespread media coverage of the game heralded the software a 'breakthrough', though for this interviewee, the capabilities of this 'limited system' had been over-hyped:…”
Section: Resultsmentioning
confidence: 99%
“…Sensationalist discourses have often accompanied the reporting of AI research in a series of AI-hype bubbles that have repeatedly peaked and troughed over the past 70 years (Bory, 2019; Chuan et al, 2019; Elish and Boyd, 2018; Fast and Horvitz, 2016; Krijgsman, 2018; Laï et al, 2020; Natale and Ballatore, 2017). Such discourses closely link to two competing imaginaries of, on one hand, pessimism, with concerns around dystopian surveillance, and on the other hand, with utopian views of AI systems spurring innovation and acting as a powerful tool to address various societal ills (Boyd and Crawford, 2012; Brennen et al, 2018; Elish and Boyd, 2018; Fast and Horvitz, 2016; Krijgsman, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…After more than 60 years of development, from the simple perceptron to complex multilayer neural networks, AI has exhibited a primary algorithm framework and a powerful hardware foundation . Some advanced AI system even defeated world champions in many domains, such as Chess, Go, quiz game, and other fields . The excellent data mining ability of AI has attracted the wide attention of the material science community .…”
Section: The Merging Of Materials Science and Artificial Intelligencementioning
confidence: 99%