TY - GEN
T1 - Artificial Creativity and Generative Adversarial Networks
AU - Dam Ziska, Jens
PY - 2019
Y1 - 2019
N2 - This paper argues that although past and current attempts at programming creative machines have yielded noteworthy results, these attempts ultimately fall short of genuine creativity. Most importantly, we are yet to see machines and programs which not only traverse a creative domain to produce novel products, but which do so in a manner which itself is creative and where this creativity is not better ascribed to the creator of the program. Until we know whether it is possible in principle for a machine to achieve these feats, it remains unclear whether genuine artificial creativity is at all possible.
AB - This paper argues that although past and current attempts at programming creative machines have yielded noteworthy results, these attempts ultimately fall short of genuine creativity. Most importantly, we are yet to see machines and programs which not only traverse a creative domain to produce novel products, but which do so in a manner which itself is creative and where this creativity is not better ascribed to the creator of the program. Until we know whether it is possible in principle for a machine to achieve these feats, it remains unclear whether genuine artificial creativity is at all possible.
KW - Artificial Creativity
KW - Generative Adversarial Networks
KW - genuine artificial creativity
M3 - Conference contribution
T3 - Proceedings of the European Society for Aesthetics
SP - 781
EP - 796
BT - Proceedings of the European Society for Aesthetics
ER -