Research ArticleOpen AccessGoogle Scholar indexed
How AI-Human Symbiotes May Reinvent Innovation and What the New Centaurs Will Mean for Cities
University of Applied Sciences, Kehl, Germany
University of Strasbourg, Strasbourg, France
Fraunhofer ISI, Karlsruhe, Germany
- 1 University of Applied Sciences, Kehl, Germany
- 2 University of Strasbourg, Strasbourg, France
- 3 Fraunhofer ISI, Karlsruhe, Germany
Technology and Investment·Volume 13 (2022)·Pages 1–19·Published 16 February 2022·DOI10.4236/ti.2022.131001
Copy link · social · email
Abstract
The aim of the paper is to propose a new hypothesis related to the contribution to innovation processes through human-AI symbiotes. These symbiotes are called centaurs, referring to the world of chess. The first section provides some speculative thoughts starting with current knowledge and observation on AI to point to the possible implication of symbiotic learning. The second section investigates what the consequences of the “centaur hypothesis” could be in terms of innovation capacities and innovation processes. The third section considers an atypical field of realization of innovations called municipal innovations so far. Finally, the conclusion addresses the limitations of this speculative exercise.
KeywordsAI-Human InteractionsNew Centaurs
- Adams, D. (2003). The Salmon of Doubt: Hitchhiking the Galaxy One Last Time. Ballantine Books.
- Albino, V., Berardi, U. U., & Dangelico, R. M. (2015). Smart Cities: Definitions, Dimensions, Performance, and Initiatives. Journal of Urban Technology, 22, 3-21. https://doi.org/10.1080/10630732.2014.942092
- Case, N. (2018). How to Become A Centaur. https://doi.org/10.21428/61b2215c
- Chui, M., Manyika, J. Miremadi, M. (2015, November). Four Fundamentals of Workplace Automation. McKinsey Quarterly.
- Dewhurst, M., & Willmott, P. (2014, September). Manager and Machine: The New Leadership Equation. McKinsey Quarterly.
- Doloreux, D., & Savoie-Danserau, G. (2019), L’émergence de la grappe industrielle de l’intelligence artificielle (IA) à Montréal. The Canadian Geographer/Le Géographe canadien, 6, 440-452. https://doi.org/10.1111/cag.12525
- Guszcza, J., Lewis, H. H., & Evans-Greenwood, P. (2017). Cognitive Collaboration: Why Humans and Computers Think Better Together. Deloitte Review, 1-24.
- Hautala, J., & Jauhiainen, J. (2014). Spatio-Temporal Processes of Knowledge Creation. Research Policy, 43, 655-668. https://doi.org/10.1016/j.respol.2014.01.002
- Hermann, I. (2020). Beware of Fictional AI Narratives. Nature Machine Intelligence, 2, 654. https://doi.org/10.1038/s42256-020-00256-0
- Huang, M.-H., & Rust, T. (2018). Artificial intelligence in service. Journal of Service Research, 21, 155-172. https://doi.org/10.1177/1094670517752459
- Jarrahi, M. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61, 577-586. https://doi.org/10.1016/j.bushor.2018.03.007
- Jennings, N.R., Moreau, L., Nicholson, D., Ramchurn, S., Roberts, S., Rodden, T., & Rogers, A. (2014). Human-Agent Collectives. Communication of the ACM, 57, 80-88. https://doi.org/10.1145/2629559
- Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
- Kelly, K. (2016). The Inevitable: Understanding the 12 Technological Forces that Will Shape Our Future. Viking.
- Makridakis, S. (1995). The Forthcoming Information Revolution: Its Impact on Society and Firms. Futures, 27, 799-821. https://doi.org/10.1016/0016-3287(95)00046-Y
- Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 90, 46-60. http://dx.doi.org/10.1016/j.futures.2017.03.006