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Human-AI co-creativity represents a transformative shift in how humans and generative AI tools collaborate in creative processes.
Mathematical creation
Poincaré, H. and Newman, J. (1908) · 1908
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The art of thought
Wallas, G. (1926) · 1926
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Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?
Einstein, A., Podolsky, B., and Rosen, N. (1935) · 1935
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An essay on the psychology of invention in the mathematical field
Hadamard, J. (1954) · 1954
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On the Einstein Podolsky Rosen paradox
Bell, J. S. (1964) · 1964
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A model for types and levels of human interaction with automation
Parasuraman, R., Sheridan, T., and Wickens, C. (2000) · 2000
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‘Most advanced, yet acceptable’: Typicality and novelty as joint predictors of aesthetic preference in industrial design
Hekkert, P., Snelders, D., and Van Wieringen, P. C. W. (2003) · 2003
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Creativity support tools: accelerating discovery and innovation
Shneiderman, B. (2007) · 2007
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Computer Models of Creativity
Boden, M. A. (2009) · 2009
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Developing Creativity: Artificial Barriers in Artificial Intelligence
Jennings, K. E. (2010) · 2010
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Leaving the Beaten Tracks in Creative Work – A Design Theory for Systems that Support Convergent and Divergent Thinking
Müller-Wienbergen, F., Müller, O., Seidel, S., and Becker (2011) · 2011
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Computational creativity: The final frontier?
Colton, S. and Wiggins, G. A. (2012) · 2012
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Chapter 14 - Collaborative Creativity—Group Creativity and Team Innovation
Paulus, P. B., Dzindolet, M., and Kohn, N. W. (2012) · 2012
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Human-Computer Co-Creativity: Blending Human and Computational Creativity
Davis, N. (2013) · 2013
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Improving Design of Systems Supporting Creativity-intensive Processes – A Cross-industry Focus Group Evaluation
Voigt, M. (2014) · 2014
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The Sadness and Beauty of Watching Google’s AI Play Go
Metz, C. (2016) · 2016
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Twenty Years of Creativity Research in Human-Computer Interaction: Current State and Future Directions
Frich, J., Mose Biskjaer, M., and Dalsgaard, P. (2018) · 2018
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A conceptual framework of information systems for organizational creativity support. lessons from empirical investigations
Olszak, C. M. and Kisielnicki, J. (2018) · 2018
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AI-generated vs. Human Artworks. A Perception Bias Towards Artificial Intelligence?
Ragot, M., Martin, N., and Cojean, S. (2020) · 2020
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Artificial Intelligence and Video Game Creation: A Framework for the New Logic of Autonomous Design
Seidel, S., Berente, N., Lindberg, A., Lyytinen, K., Martinez, B., and Nickerson, J. V. (2020) · 2020
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Bridging the Gap Between Ethics and Practice: Guidelines for Reliable, Safe, and Trustworthy Human-centered AI Systems
Shneiderman, B. (2020) · 2020
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Technology-enhanced creativity: A multiple case study of digital technology-integration expert teachers’ beliefs and practices
Bereczki, E. O. and Kárpáti, A. (2021) · 2021
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Towards Machine Learning as an Enabler of Computational Creativity
Mateja, D. and Heinzl, A. (2021) · 2021
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Artificial intelligence in the creative industries: a review
Anantrasirichai, N. and Bull, D. (2022) · 2022
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Can AI Emulate Human Creativity?
Joshi, N. (2022) · 2022
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Reinforcement Learning Applied to AI Bots in First-Person Shooters: A Systematic Review
Almeida, P., Carvalho, V., and Simões, A. (2023) · 2023
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Humans versus AI: whether and why we prefer human-created compared to AI-created artwork
Bellaiche, L., Shahi, R., Turpin, M. H., Ragnhildstveit, A., Sprockett, S., Barr, N., Christensen, A., and Seli, P. (2023) · 2023
Does human–AI collaboration lead to more creative art? Aesthetic evaluation of human-made and AI-generated haiku poetry
Hitsuwari, J., Ueda, Y., Yun, W., and Nomura, M. (2023) · 2023
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Special Issue Editorial: Adaptive and Intelligent Gamification Design
Janson, A., Schmidt-Kraepelin, M., Schöbel, S., and Sunyaev, A. (2023) · 2023
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Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Liu, J., Xia, C. S., Wang, Y., and Zhang, L. (2023) · 2023
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Putting humans back in the loop: An affordance conceptualization of the 4th industrial revolution
Melville, N. P., Robert, L., and Xiao, X. (2023) · 2023
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ChatGPT-4
OpenAI (2023) · 2023
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Creativity in the age of generative AI
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Braun, G., Carderera, A., Combettes, C. W., Hassani, H., Karbasi, A., Mokhtari, A., and Pokutta, S. (2023) · 2023
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Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Cambon, A., Hecht, B., Edelman, B., Ngwe, D., Jaffe, S., Heger, A., Vorvoreanu, M., Peng, S., Hofman, J., Farach, A., Bermejo-Cano, M., Knudsen, E., Bono, J., Sanghavi, H., Spatharioti, S., Rothschild, D., Goldstein, D. G., Kalliamvakou, E., Cihon, P., Demirer, M., Schwarz, M., and Teevan, J. (2023) · 2023
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How Will Generative AI Change the Video Game Industry?
Christofferson, A., James, A., Rowland, T., and Rey, I. (2023) · 2023
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How Generative AI Could Disrupt Creative Work
Cremer, D. D., Bianzino, N. M., and Falk, B. (2023) · 2023
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Discovering Where ChatGPT Can Create Value for Your Company
Cromwell, J. R., Harvey, J.-F., Haase, J., and Gardner, H. K. (2023) · 2023
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Creativity and the Cyber Shock: The Ultimate Paradox
Cropley, D. and Cropley, A. (2023) · 2023
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Rafner, J., Beaty, R. E., Kaufman, J. C., Lubart, T., and Sherson, J. (2023) · 2023
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AI Can Only Produce Artificial Creativity
Runco, M. A. (2023) · 2023
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Human-AI system co-creativity for building narrative worlds
Serbanescu, A. and Nack, F. (2023) · 2023
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Sinha, R., Song, Z., and Zhou, T. (2023) · 2023
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Is ChatGPT the Ultimate Programming Assistant – How far is it?
Tian, H., Lu, W., Li, T. O., Tang, X., Cheung, S.-C., Klein, J., and Bissyandé, T. F. (2023) · 2023
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Opinion: Artificial intelligence can’t reproduce the wonders of original human creativity
White, C. (2023) · 2023
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Situational Awareness - The Decade Ahead
Aschenbrenner, L. (2024) · 2024
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First artwork painted by humanoid robot to sell at auction fetches $1m
Cain, S. (2024) · 2024
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Generative AI enhances individual creativity but reduces the collective diversity of novel content
Doshi, A. R. and Hauser, O. P. (2024) · 2024
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Supermind Ideator: How Scaffolding Human-AI Collaboration Can Increase Creativity
Heyman, J. L., Rick, S. R., Giacomelli, G., Wen, H., Laubacher, R., Taubenslag, N., Knicker, M., Jeddi, Y., Ragupathy, P., Curhan, J., and Malone, T. (2024) · 2024
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Estimating the Hallucination Rate of Generative AI
Jesson, A., Beltran-Velez, N., Chu, Q., Karlekar, S., Kossen, J., Gal, Y., Cunningham, J. P., and Blei, D. (2024) · 2024
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How Does Narrow AI Impact Human Creativity?
Marrone, R., Cropley, D., and Medeiros, K. (2024) · 2024
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Extending the Continuum of Six-Colorings
Mundinger, K., Pokutta, S., Spiegel, C., and Zimmer, M. (2024) · 2024
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New Ramsey Multiplicity Bounds and Search Heuristics
Parczyk, O., Pokutta, S., Spiegel, C., and Szabó, T. (2024) · 2024
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The impact of creativity training on creative performance: A meta-analytic review and critical evaluation of 5 decades of creativity training studies
Sio, U. N. and Lortie-Forgues, H. (2024) · 2024
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The New Mathematical Coloring Book: Mathematics of Coloring and the Colorful Life of Its Creators
Soifer, A. (2024) · 2024
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