2017-12-07

[public] 31.2K views, 1.96K likes, 50.0 dislikes audio only

BrainCraft

Learn more about Udacity at: https://www.udacity.com/braincraft

Can artificial intelligence tell the difference between labradoodles and fried chicken? ...probably. But they can also see things that... aren't there.

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Artificial neural networks are pretty good at image recognition – but sometimes machines misidentify objects too. And, sometimes, machines see things that... aren't there. This can have pretty big implications, which (believe or not) will have more impact that getting a labradoodle and a piece of chicken mixed up.

BrainCraft was created by Vanessa Hill (@nessyhill) and is brought to you by PBS Digital Studios. Talking psychology, neuroscience & why we act the way we do.

This episode was written by Bahar Gholipour and filmed by Dominique Taylor. Produced/edited/hosted by Vanessa. Co-hosted by Luna.

REFERENCES 📚

3D Adversarial examples: http://www.csail.mit.edu/fooling_neural_networks_with_3Dprinted_objects

http://www.labsix.org/physical-objects-that-fool-neural-nets/

MIT CSAIL: https://www.youtube.com/watch?v=piYnd_wYlT8

OpenAI: https://www.youtube.com/watch?v=oeQW5qdeyy8

Dog in a hat inspired by:

https://www.google.com/intl/en-GB/about/main/machine-learning-qa/

Testing AI with dogs/foods:

https://blog.cloudsight.ai/chihuahua-or-muffin-1bdf02ec1680

https://crimesagainstai.com/2016/04/19/animals-vs-food-vs-a-i/

Original dog/food photos:

https://twitter.com/teenybiscuit/status/707727863571582978?lang=en