The artist in the machine : the world of AI-powered creativity /
"Today's computers are composing music that sounds 'more Bach than Bach,' turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative--or are they merely tools to be used by musicians, artists, an...
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Main Authors: | |
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Published: |
The MIT Press,
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Publisher Address: | Cambridge, Massachusetts : |
Publication Dates: | [2019] |
Literature type: | Book |
Language: | English |
Subjects: | |
Summary: |
"Today's computers are composing music that sounds 'more Bach than Bach,' turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative--or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from 'the need for introspection' to 'the ability to discover the key problem.' He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans--and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature."-- |
Carrier Form: | xxviii, 399 pages, 4 unnumbered pages of plates : illustrations (some color) ; 24 cm |
Bibliography: | Includes bibliographical references (pages [347]-367) and index. |
ISBN: |
9780262042857 (hardcover : alkaline paper) : 0262042851 (hardcover : alkaline paper) |
Index Number: | NX180 |
CLC: | J-39 |
Call Number: | J-39/M647 |
Contents: | I. Understanding creativity : What makes us creative? : Einstein, Bach, Picasso: what makes these people special? -- Seven hallmarks of creativity and two marks of genius : The need for introspection ; Know your strengths ; Focus, persevere, and don't be afraid to make mistakes ; Collaborate and compete ; Beg, borrow, or steal great ideas ; Thrive on ambiguity ; The need for experience and suffering ; The two marks of genius ; Intent, imagination, and unpredictability -- Margaret Boden's three types of creativity -- Unconscious thought: the key ingredient : The four stages of creativity ; The importance of taking time off ; Unconscious thought and computers -- The birth of artificial intelligence : The first inklings of computer creativity ; Computers that mimic the brain -- Games computers play : Deep Blue defeats Garry Kasparov ; IBM Watson becomes Jeopardy! champion ; AlphaGo defeats the reigning world go champion -- II. Portrait of the computer as an artist : DeepDream: how Alexander Mordvintsev excavated the computer's hidden layers : Mike Tyka takes the dream deeper -- Blaise Agüera y Arcas brings together artists and machine intelligence : Memo Akten education a neural network -- What came after DeepDream? : Damien Henry and a machine that dreams a landscape ; Mario Klingemann and His X degrees of separation ; Angelo Semeraro's Recognition: intertwining past and present ; Leon Gatys's style transfer: photography "in the style of" -- Ian Goodfellow's generative adversarial networks: AI learns to imagine : Mike Tyka's Portraits of imaginary people ; Refik Andol creates a dreaming archive ; Theresa Reimann-Dubber's AI looks at the Messiah ; Jake Elwe's dreams of latent space -- Phillip Isola's Pix2Pix: filling in the picture : Mario Klingemann changes faces with Pix2Pix ; Anna Ridler's Fall of the house of Usher -- Jun-Yan Zhu's CycleGAN turns horses into zebras : Mario Klingemann plays with CycleGAN -- Ahmed Elgammal's Creative adversarial networks -- "But is it art?": GANs enter the art market -- Simon Colton's The painting fool -- Hod Lipson and Patrick Tresset's artist robots -- III. Machines that make music: putting the "rhythm" into "algorithm'" : Project Magenta: AI creates its own music -- From WaveNet and NSynth to Coconet: adventures in music making : WaveNet from voice to music ; NSynth: creating sounds never heard before ; Coconet: filling in the gaps -- François Pachet and his computers that improvise and compose songs : The flow machine -- Gil Weinberg and Mason Bretan and their robot jazz band -- David Cope makes music that is "more Bach than Bach" -- "The drunken pint" and other folk music composed by Bob Sturm and Oded Ben-Tal's AI -- Rebecca Fiebrink uses movement to generate sound -- Marwaread Mary Farbood sketches music -- Eduardo Miranda and his improvising slime mold -- IV. Once upon a time: computers that weave magic with words : The Pinocchio effect -- The final frontier: computers with a sense of humor -- AI and poetry : Pablo Gervás and his poetic algorithms ; Rafael Pérez y Pérez and the problems of creating rounded stories -- Nick Montfort makes poetry with pi -- Allison Parrish sends probes into semantic space -- Ross Goodwin and the first AI-scripted movie -- Sarah Harmon uses AI to create illuminating metaphors -- Tony Veale and his metaphor- and story-generating programs -- Hannah Davis turns words into music -- Simon Colton's poetic fool -- V. Staged by Android Lloyd Webber and friends : The world's first computer-composed musical: Beyond the fence -- VI. Can computers be creative? : A glimpse of the future? : Creativity in humans and machines -- What goes on in the computer's brain? : Jason Yosinski and the puzzle of what machines see ; Mark Reidl on teaching neural networks to communicate -- What drives creativity? : Margaret Boden and computer creativity -- Evaluating creativity in computers : Geraint and the mind's chorus ; Graeme Ritchie's mathematical criteria for measuring the creativity of a computer program ; Anna Jordanous's fourteen components of creativity -- Computers with feelings : Rosalind Picard on developing machines that feel ; Machines gaining experience of the world ; Machines that suffer -- The question of consciousness : John Searle's Chinese room and the question of whether computers can actually think ; Reducing consciousness to the sum of its parts -- Michael Graziano: developing conscious computers : Awareness and attention ; Self-awareness, introspection, and perseverance in computers ; Giving computers consciousness -- Two dissenting voices : Douglas Hofstadter and the horrors of a future controlled by creative machines ; Pat Langley and machines that work more like people -- Can we apply the hallmarks of creativity to computers? : The need to know your strengths ; The need to beg, borrow, or steal great ideas, and the need for collaboration and competition ; The need to focus and not be afraid to make mistakes ; The need to thriv |