How Explainable Artificial Intelligence Can Help Humans Innovate

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💠 The area of artificial intelligence has developed machines that can drive vehicles, fold proteins and track particles. The minds of superhuman AIs are actually out of control of us humans, says Andrew Keen. AI researchers are now trying to build AI algorithms that describe themselves in a way that humans can understand. The Rubik's Cube is essentially a problem of pathfinding: find a path from point A to point B. The algorithm looks at each step and provides suggestions on which steps are feasible, which are difficult, and how the plan might be strengthened.

It will be hard for a human to learn how to solve the cube on this website. In the world of AI, people are intuitive in a way that is unmatched by any AI. But computers are much better at their computing power and algorithmic rigor. This back and forth between a man and a computer exploits the attributes of both men and computers.

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Sources: ⚉ https://www.nytimes.com/2019/06/20/business/self-driving-cars-cadillac-super-cruise.html ⚉ https://arxiv.org/pdf/2006.15820.pdf ⚉ https://www.nature.com/articles/d41586-020-03348-4 ⚉ https://www.nature.com/articles/ncomms5308 ⚉ https://en.wikipedia.org/wiki/Reinforcement_learning ⚉ https://science.sciencemag.org/content/362/6419/1140 ⚉ https://www.nature.com/articles/s42256-019-0070-z ⚉ https://www.nature.com/news/can-we-open-the-black-box-of-ai-1.20731 ⚉ https://papers.nips.cc/paper/1995/file/45f31d16b1058d586fc3be7207b58053-Paper.pdf ⚉ https://link.springer.com/chapter/10.1007%2F978-3-319-10590-1_53 ⚉ https://proceedings.neurips.cc/paper/2020/file/2c29d89cc56cdb191c60db2f0bae796b-Paper.pdf ⚉ http://deepcube.igb.uci.edu/

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