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

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.

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