What is it about?
Artificial Intelligence (AI) cannot be creative in the same sense as humans are. An easy argument for this can be made along the dimensions of knowledge and learning. First, AI can only include explicit knowledge, while much of human knowledge is tacit and all knowledge is rooted in tacit. Second, AI, and specifically Artificial Neural Networks (ANN) learn through a variant of reinforcement learning. We, humans, learn very little that way, but we are talented for some things and not for others, we get inspired, we observe what others do, and we engage in master-apprentice relationships. Here are a few better questions: Is there a different conceptualisation of creativity, that can apply to AI? How can we use AI to support and improve human creativity? I explore these questions in depth in this chapter.
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Why is it important?
Through studying AI we also gain a better understanding of the unique capabilities of the human mind, mainly from what AI cannot do. At the same time, this can help us utilise AI to its fullest potential. Furthermore, we can figure out how to support smart humans with smart technology and achieve the most extraordinary things.
Perspectives
Read the Original
This page is a summary of: Artificial Intelligence, January 2020, Elsevier,
DOI: 10.1016/b978-0-12-809324-5.23863-7.
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Resources
Artificial Intelligence (see chapter from the publisher)
Dörfler, V. (2020). Artificial Intelligence. In M. A. Runco & S. R. Pritzker (Eds.), Encyclopedia of Creativity (3rd ed., Vol. 1, pp. 57-64). Academic Press. https://doi.org/10.1016/B978-0-12-809324-5.23863-7
Artificial Intelligence (see chapter on ResearchGate)
Dörfler, V. (2020). Artificial Intelligence. In M. A. Runco & S. R. Pritzker (Eds.), Encyclopedia of Creativity (3rd ed., Vol. 1, pp. 57-64). Academic Press. https://doi.org/10.1016/B978-0-12-809324-5.23863-7
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