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arXiv · 2007.09177

iNNk: A Multi-Player Game to Deceive a Neural Network

Jennifer Villareale·Ana Acosta-Ruiz·Samuel Arcaro·Thomas Fox·Evan Freed·Robert Gray·Mathias Löwe·Panote Nuchprayoon·Aleksanteri Sladek·Rush Weigelt·Yifu Li·Sebastian Risi·Jichen Zhu
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Abstract

This paper presents iNNK, a multiplayer drawing game where human players team up against an NN. The players need to successfully communicate a secret code word to each other through drawings, without being deciphered by the NN. With this game, we aim to foster a playful environment where players can, in a small way, go from passive consumers of NN applications to creative thinkers and critical challengers.

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Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro, Thomas Fox, Evan Freed, Robert Gray, Mathias Löwe, Panote Nuchprayoon, Aleksanteri Sladek, Rush Weigelt, Yifu Li, Sebastian Risi, Jichen Zhu. 2021-01-15. iNNk: A Multi-Player Game to Deceive a Neural Network. https://arxiv.org/abs/2007.09177

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