The Ethics of Machine Learning

As you move from learning about machine learning, AI, and deep learning to practicing it in industry – it’s important to remember that your work, and your mistakes, will have real-world consequences.

Speaking as someone whose self-driving car has tried to kill him on several occasions, and as someone whose research has been bent to make the world worse instead of better, this topic is near and dear to me.

If you have 10 minutes, please listen to my cautionary tale – and how you can ensure your AI work is used in an ethical manner.

Published by

Frank Kane

Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

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