Introduction to Neural Networks

Ethics of machine learning

Machine learning has the problem that it can appear to be a bit of a 'black box' when processing information. You put in your question and you get out an answer. The answer isn't necessarily correct and if you ask a stupid question (like "what handwritten digit is this dog?") you will still get an answer.

Machine learning techniques are becoming more of a part of our daily lives, used by companies to make decisions but with no human in the loop, it can be hard to challenge. Google have a set of AI principles they work towards which I recommend reading but boil down to:

1. Be socially beneficial.
2. Avoid creating or reinforcing unfair bias.
3. Be built and tested for safety.
4. Be accountable to people.
5. Incorporate privacy design principles.
6. Uphold high standards of scientific excellence.

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