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Artificial Intelligence and Creativity
- AITMTopic Map showing intersections of academic research in AI and Creativity.
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The Creativity Code by ISBN: 9780674988132Publication Date: 2019-04-15The award-winning author of The Music of the Primes explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human. Can a well-programmed machine do anything a human can--only better? Complex algorithms are choosing our music, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too? It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work--and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities. While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human--and to crack the creativity code.
Towards a Bibliography of Artificial Intelligence and Creativity
AIArtists.org. “Scott Eaton – Artist Profile (Photos, Videos, Exhibitions).” Accessed September 5, 2023. https://aiartists.org/scott-eaton.
Bhasin, Harsh. “Implementation of Artificial Creativity: Redefining Creativity.” International Journal of Computer Applications 28, no. 11 (August 31, 2011): 25–28. https://doi.org/10.5120/3435-4786.
Boden, Margaret. “Creativity in a Nutshell.” Think 5 (September 1, 2009): 83–96. https://doi.org/10.1017/S147717560000230X.
Boden, Margaret A. Creativity and Art: Three Roads to Surprise. Oxford, UNITED KINGDOM: Oxford University Press, Incorporated, 2010. http://ebookcentral.proquest.com/lib/salve-ebooks/detail.action?docID=1037320.
Boden, Margaret A. “Creativity and Artificial Intelligence,” n.d. https://doi.org/10.1016/S0004-3702(98)00055-1
Bringsjord, Selmer, and David A. Ferrucci. Artificial Intelligence and Literary Creativity: Inside the Mind of BRUTUS, a Storytelling Machine. 1 online resource (xxxii, 230 pages) : illustrations vols. Mahwah, N.J.: L. Erlbaum Associates, 2000. DOI:10.1162/coli.2000.26.4.642
Buriak, Jillian M., Deji Akinwande, Natalie Artzi, C. Jeffrey Brinker, Cynthia Burrows, Warren C. W. Chan, Chunying Chen, et al. “Best Practices for Using AI When Writing Scientific Manuscripts: Caution, Care, and Consideration: Creative Science Depends on It.” ACS Nano 17, no. 5 (March 14, 2023): 4091–93. https://doi.org/10.1021/acsnano.3c01544.
Cornell Tech. “Cornell Tech - AI vs. Artist: The Future of Creativity,” February 20, 2023. https://tech.cornell.edu/news/ai-vs-artist-the-future-of-creativity/.
Frith, Emily, Stephanie Miller, and Paul D. Loprinzi. “A Review of Experimental Research on Embodied Creativity: Revisiting the Mind–Body Connection.” The Journal of Creative Behavior 54, no. 4 (2020): 767–98. https://doi.org/10.1002/jocb.406.
Gardner, Howard. Art, Mind, and Brain: A Cognitive Approach to Creativity. New York: Basic Books, 1982. https://salve.on.worldcat.org/oclc/8590445
Haase, Jennifer, and Paul H. P. Hanel. “Artificial Muses: Generative Artificial Intelligence Chatbots Have Risen to Human-Level Creativity.” arXiv, March 21, 2023. https://doi.org/10.48550/arXiv.2303.12003.
Hitsuwari, Jimpei, Yoshiyuki Ueda, Woojin Yun, and Michio Nomura. “Does Human–AI Collaboration Lead to More Creative Art? Aesthetic Evaluation of Human-Made and AI-Generated Haiku Poetry.” Computers in Human Behavior 139 (February 1, 2023): 107502. https://doi.org/10.1016/j.chb.2022.107502.
Hu, Nini. “AI and Creativity.” Harvard Data Science Review 4, no. 1 (January 27, 2021). https://doi.org/10.1162/99608f92.2c5ec0ca.
Jang, YeiBeech. “Anthropomorphism, Perceived Learning for Creation, and Growth Creative Mindset as Predictors of Acceptance toward Artificial Intelligence Creativity.” Social Behavior & Personality: An International Journal 51, no. 8 (August 2023): 1–9. https://doi.org/10.2224/sbp.12536.
Kenett, Yoed N., and Miriam Faust. “A Semantic Network Cartography of the Creative Mind.” Trends in Cognitive Sciences 23, no. 4 (April 1, 2019): 271–74. https://doi.org/10.1016/j.tics.2019.01.007.
Kirkpatrick, Keith. “Can AI Demonstrate Creativity?” Communications of the ACM 66, no. 2 (February 2023): 21–23. https://doi.org/10.1145/3575665.
Markauskaite, Lina, Rebecca Marrone, Oleksandra Poquet, Simon Knight, Roberto Martinez-Maldonado, Sarah Howard, Jo Tondeur, et al. “Rethinking the Entwinement between Artificial Intelligence and Human Learning: What Capabilities Do Learners Need for a World with AI?” Computers and Education: Artificial Intelligence 3 (January 1, 2022): 100056. https://doi.org/10.1016/j.caeai.2022.100056.
Marrone, Rebecca, Victoria Taddeo, and Gillian Hill. “Creativity and Artificial Intelligence—A Student Perspective.” Journal of Intelligence 10, no. 3 (September 2022): 65. https://doi.org/10.3390/jintelligence10030065.
Mikalef, Patrick, and Manjul Gupta. “Artificial Intelligence Capability: Conceptualization, Measurement Calibration, and Empirical Study on Its Impact on Organizational Creativity and Firm Performance.” Information & Management 58, no. 3 (April 2021): 103434. https://doi.org/10.1016/j.im.2021.103434.
Morrison A. Meta-Writing: AI and Writing. Composition Studies. 2023;51(1):155-161. Accessed September 14, 2023. https://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=164985270&site=ehost-live
Moruzzi, Caterina. “Measuring Creativity: An Account of Natural and Artificial Creativity.” European Journal for Philosophy of Science 11, no. 1 (October 2, 2020): 1. https://doi.org/10.1007/s13194-020-00313-w.
Newell, Allen, J. C. Shaw, and Herbert Alexander Simon, The Processes of Creative Thinking. Santa Monica, CA: RAND Corporation, 1959. https://www.rand.org/content/dam/rand/pubs/papers/2008/P1320.pdf Also available in print form.
Paul, Elliot Samuel, and Dustin Stokes. “Creativity.” In The Stanford Encyclopedia of Philosophy, edited by Edward N. Zalta and Uri Nodelman, Spring 2023. Metaphysics Research Lab, Stanford University, 2023. https://plato.stanford.edu/archives/spr2023/entries/creativity/.
———. “Creativity.” In The Stanford Encyclopedia of Philosophy, edited by Edward N. Zalta and Uri Nodelman, Spring 2023. Metaphysics Research Lab, Stanford University, 2023. https://plato.stanford.edu/archives/spr2023/entries/creativity/.
Shidiq, Muhammad. “THE USE OF ARTIFICIAL INTELLIGENCE-BASED CHAT-GPT AND ITS CHALLENGES FOR THE WORLD OF EDUCATION; FROM THE VIEWPOINT OF THE DEVELOPMENT OF CREATIVE WRITING SKILLS.” PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY 1, no. 1 (May 30, 2023): 353–57. Available at: <https://ejournal.unuja.ac.id/index.php/icesh/article/view/5614>. Date accessed: 14 sep. 2023.
Veale, Tony, Pablo Gervás, and Rafael Pérez y Pérez. “Computational Creativity: A Continuing Journey.” Minds and Machines 20, no. 4 (November 1, 2010): 483–87. https://doi.org/10.1007/s11023-010-9212-0.
Vinchon, Florent, Todd Lubart, Sabrina Bartolotta, Valentin Gironnay, Marion Botella, Samira Bourgeois-Bougrine, Jean-Marie Burkhardt, et al. “Artificial Intelligence & Creativity: A Manifesto for Collaboration.” The Journal of Creative Behavior n/a, no. n/a. Accessed August 23, 2023. https://doi.org/10.1002/jocb.597.
Wellner, Galit. “Digital Imagination, Fantasy, AI Art.” Foundations of Science 27, no. 4 (December 2022): 1445–51. https://doi.org/10.1007/s10699-020-09747-0.
Wingström, Roosa, Johanna Hautala, and Riina Lundman. “Redefining Creativity in the Era of AI? Perspectives of Computer Scientists and New Media Artists.” Creativity Research Journal 0, no. 0 (August 18, 2022): 1–17. https://doi.org/10.1080/10400419.2022.2107850.
Zhai, Xuesong, Xiaoyan Chu, Ching Sing Chai, Morris Siu Yung Jong, Andreja Istenic, Michael Spector, Jia-Bao Liu, Jing Yuan, and Yan Li. “A Review of Artificial Intelligence (AI) in Education from 2010 to 2020.” Complexity 2021 (April 20, 2021): e8812542. https://doi.org/10.1155/2021/8812542.