Why deep-learning AIs are so easy to fool

Artificial-intelligence researchers are trying to fix the flaws of neural networks. Artificial-intelligence researchers are trying to fix the flaws of neural networks.

[1]  Andrew L. Beam,et al.  Adversarial attacks on medical machine learning , 2019, Science.

[2]  Demis Hassabis,et al.  A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play , 2018, Science.

[3]  Atul Prakash,et al.  Robust Physical-World Attacks on Deep Learning Visual Classification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[4]  Jason Yosinski,et al.  Deep neural networks are easily fooled: High confidence predictions for unrecognizable images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).