Angus Main
ABSTRACT
This workshop focuses on emerging approaches for using Artificial Intelligence (AI) systems to support and augment personal creativity. Recent developments in generative Machine Learning demonstrate the ability of AI systems to perform tasks which are often associated with creativity - generating imagery, composing music, writing prose, etc. This workshop will examine opportunities for incorporating this kind of functionality into the creative practice of designers, artists and craftspeople, in practical and experimental ways. It will focus on how AI might enhance, rather than supplant, individual human creativity, through collaboration, serendipity, and creative reflection. We seek to engage a broad range of creative practitioners and researchers, bringing together those already using AI in their practice with those who are new to the technology, to understand emerging approaches and define future opportunities.
- Ai-Da. Ai-Da, the first ultra-realistic humanoid AI robot artist. Retrieved January 22, 2022 from https://www.ai-darobot.com.Google Scholar
- Joel Baer. Neural filters: What Photoshop's powerful new AI tools can do. Adobe Blog. Retrieved January 22, 2022 from https://blog.adobe.com/en/publish/2021/01/15/neural-filters-what-photoshop-s-powerful-new-ai-tools-can-do.Google Scholar
- David Barnett. 2017. Horror fiction by numbers: my not-so-shocking AI collaboration. The Guardian. Retrieved January 22, 2022 from https://www.theguardian.com/books/booksblog/2017/oct/31/horror-fiction-ai-collaboration-shelley-mit.Google Scholar
- BBC News. 2018. Portrait by AI program sells for $432,000. BBC News. Retrieved January 22, 2022 from https://www.bbc.com/news/technology-45980863.Google Scholar
- Margaret A. Boden and Ernest A. Edmonds. 2009. What is generative art? Digital Creativity 20, 1–2: 21–46.Google ScholarCross Ref
- Margaret A. Boden. 1998. Creativity and artificial intelligence. Artificial Intelligence 103, 1: 347–356.Google ScholarDigital Library
- Margaret A. Boden. 2007. Creativity in a nutshell. Think 5, 15: 83–96.Google ScholarCross Ref
- Alastair Brotchie, Mel Gooding, Alexis Lykiard, and Jennifer Batchelor. 1995. A book of surrealist games: including the little surrealist dictionary. Shambhala Redstone Editions.Google Scholar
- Colin Marshall. 2019. How David Bowie Used William S. Burroughs’ Cut-Up Method to Write His Unforgettable Lyrics | Open Culture. Retrieved January 23, 2022 from https://www.openculture.com/2019/05/how-david-bowie-used-william-s-burroughs-cut-up-method-to-write-his-unforgettable-lyrics.html.Google Scholar
- Katerine Crowson. Genera imágenes desde frases de texto con VQGAN y CLIP (método z+quantize con augmentations). Retrieved January 23, 2022 from https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT.Google Scholar
- Mihaly Csikszentmihalyi. 2013. Creativity: the psychology of discovery and invention. Harperperennial, New York.Google Scholar
- Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, 2017. Mixed-Initiative Creative Interfaces. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA ’17, ACM Press, 628–635.Google ScholarDigital Library
- Hugh Dubberly and Paul Pangaro. 2019. Cybernetics and Design: Conversations for Action. In T. Fischer and C.M. Herr, eds., Design Cybernetics: Navigating the New. Springer International Publishing, Cham, 85–99.Google Scholar
- Face Generator. 2022. Face Generator – Generate Faces Online Using AI. Retrieved January 23, 2022 from https://generated.photos/face-generator/new.Google Scholar
- GPT-3. 2020. A robot wrote this entire article. Are you scared yet, human? The Guardian. Retrieved January 22, 2022 from https://www.theguardian.com/commentisfree/2020/sep/08/robot-wrote-this-article-gpt-3.Google Scholar
- Matthew J. Guzdial and Mark O. Riedl. 2018. Combinatorial Creativity for Procedural Content Generation via Machine Learning. Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence.Google Scholar
- Matthew Guzdial, Nicholas Liao, Jonathan Chen, 2019. Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery.Google ScholarDigital Library
- Cheng-Zhi Anna Huang, Tim Cooijmans, Monica Dinculescu, Adam Roberts, and Curtis Hawthorne. 2019. Coconet: the ML model behind today's Bach Doodle. Magenta. Retrieved January 22, 2022 from https://magenta.tensorflow.org/coconet.Google Scholar
- Duri Long, Mikhail Jacob, and Brian Magerko. 2019. Designing Co-Creative AI for Public Spaces. Proceedings of the 2019 on Creativity and Cognition, Association for Computing Machinery, 271–284.Google ScholarDigital Library
- Todd Lubart. 2005. How can computers be partners in the creative process: Classification and commentary on the Special Issue. International Journal of Human-Computer Studies 63, 4–5: 365–369.Google ScholarDigital Library
- Angus Main and Mick Grierson. 2020. Guru, Partner, or Pencil Sharpener? Understanding Designers’ Attitudes Towards Intelligent Creativity Support Tools. arXiv:2007.04848 [cs].Google Scholar
- Jasia Reichardt. 1968. Cybernetic Serendipity: the computer and the arts. Studio International, London.Google Scholar
- Runway. 2021. Introducing Sequel: The Next Chapter of Video Editing | Runway Blog. Runway. Retrieved January 22, 2022 from https://www.runwayml.com/blog/introducing-sequel.Google Scholar
- Donald A. Schön. 1983. The reflective practitioner: how professionals think in action. London.Google Scholar
- Ben Shneiderman. 2007. Creativity support tools: accelerating discovery and innovation. Communications of the ACM 50, 12: 20–32.Google ScholarDigital Library
- Robert J. Sternberg and Todd I. Lubart. 1998. The Concept of Creativity: Prospects and Paradigms. In R.J. Sternberg, ed., Handbook of Creativity. Cambridge University Press, Cambridge, 3–15.Google Scholar
- Arthur Still and Mark d'Inverno. A History of Creativity for Future AI Research. Proceedings of the Seventh International Conference on Computational Creativity, June 2016, 8.Google Scholar
- Georgios N. Yannakakis, Antonios Liapis, and Constantine Alexopoulos. 2014. Mixed-initiative co-creativity.Google Scholar
Recommendations
Alchemy: experiments in interactive drawing, creativity, & serendipity
C&C '09: Proceedings of the seventh ACM conference on Creativity and cognitionThis paper presents an overview of Alchemy, an experimental drawing application aimed at exploring how we can sketch, draw, and create on computers in new ways. Alchemy focuses on the absolute initial stage of the creative process, to provide an ...
Using artificial intelligence techniques to emulate the creativity of a portrait painter
EVA '16: Proceedings of the conference on Electronic Visualisation and the ArtsWe present three new machine learning based artificial intelligence (AI) techniques, which we have added to our parameterised computational painterly rendering framework and show their benefits in computational creativity and non-photorealistic ...
Artificial Intelligence, Artists, and Art: Attitudes Toward Artwork Produced by Humans vs. Artificial Intelligence
Special Section on Cross-Media Analysis for Visual Question Answering, Special Section on Big Data, Machine Learning and AI Technologies for Art and Design and Special Section on MMSys/NOSSDAV 2018This study examines how people perceive artwork created by artificial intelligence (AI) and how presumed knowledge of an artist's identity (Human vs. AI) affects individuals’ evaluation of art. Drawing on Schema theory and theory of Computers Are Social ...
Comments