Cited By
View all- Muller MChilton LKantosalo AMartin CWalsh G(2022)GenAICHI: Generative AI and HCIExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503719(1-7)Online publication date: 27-Apr-2022
HAI-GEN 2020: Workshop on Human-AI Co-Creation with Generative Models
Pages 13 - 14
Abstract
Recent advances in generative modeling will enable new kinds of user experiences around content creation, giving us "creative superpowers" and move us toward co-creation. This workshop brings together researchers and practitioners from both fields HCI and AI to explore and better understand both the opportunities and challenges of generative modelling from a Human-AI interaction perspective for the creation of both physical and digital artifacts.
References
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[n.d.]. Introduction. https://neurips2019creativity.github.io/
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[n.d.]. MIT Quest for Intelligence. http://ganocracy.csail.mit.edu/
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2019. Making Art in the Age of Algorithms. https://engineering.columbia.edu/news/art-age-algorithms
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Samantha Cole. 2019. This Deepfake of Mark Zuckerberg Tests Facebook's Fake Video Policies. https://www.vice.com/en_us/article/ywyxex/deepfake-of-mark-zuckerberg-facebook-fake-video-policy
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Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In NIPS.
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Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long Short-Term Memory. Neural Comput. 9, 8 (Nov. 1997), 1735--1780. https://doi.org/10.1162/neco.1997.9.8.1735
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Tero Karras, Samuli Laine, and Timo Aila. 2018. A Style-Based Generator Architecture for Generative Adversarial Networks. ArXiv abs/1812.04948 (2018).
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Diederik P. Kingma and Max Welling. 2013. Auto-Encoding Variational Bayes. CoRR abs/1312.6114 (2013).
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2018. Language Models are Unsupervised Multitask Learners. (2018). https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf
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James Vincent. 2019. Listen to this AI voice clone of Bill Gates created by Facebook's engineers. https://www.theverge.com/2019/6/10/18659897/ai-voice-clone-bill-gates-facebook-melnet-speech-generation
Index Terms
- HAI-GEN 2020: Workshop on Human-AI Co-Creation with Generative Models
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Published In
March 2020
153 pages
ISBN:9781450375139
DOI:10.1145/3379336
Copyright © 2020 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGCHI: Specialist Interest Group in Computer-Human Interaction of the ACM
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 March 2020
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IUI '20
Sponsor:
- SIGAI
- SIGCHI
IUI '20: 25th International Conference on Intelligent User Interfaces
March 17 - 20, 2020
Cagliari, Italy
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Overall Acceptance Rate 746 of 2,811 submissions, 27%
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View all- Muller MChilton LKantosalo AMartin CWalsh G(2022)GenAICHI: Generative AI and HCIExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503719(1-7)Online publication date: 27-Apr-2022
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