Abstract
Creative AI has had and will continue to have immense impact on creative communities and society more broadly. Along with the great power, these techniques provide and come significant ethical responsibilities in their setup, use, and the output works themselves. This chapter sets out the key ethical issues relating to creative AI: copyright, replacement of authors/artists, bias in datasets, artistic essence, dangerous creations, deepfakes, and physical safety and looks toward a future where responsible use of creative AI can help to promote human flourishing within the technosocial landscape. After Vallor (2016), it suggests key technomoral values of honesty, humility, empathy, care, civility, and flexibility as those which virtuous creative practitioners will want to embed within any practice conducted using creative AI techniques.
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Notes
- 1.
In this chapter, we use AI as an overarching term that includes machine learning, deep learning, and neural networks.
- 2.
Indeed, one way that creative AI has been attempted to be used to alleviate legal concerns around musical copyright and lawsuits was Riehl and Rubin’s efforts to generate ‘every possible melody’ and release them to the public domain (Cole, 2020; Whitwam, 2020). This is an interesting use of creative AI, although whether it will stand up in court is up for debate.
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Flick, C., Worrall, K. (2022). The Ethics of Creative AI. In: Vear, C., Poltronieri, F. (eds) The Language of Creative AI. Springer Series on Cultural Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-10960-7_5
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