This year, I've been educating myself on how to build ethical AI (machine learning models). To that end I've read a number of books in the areas of bias, cognition, models and more. My reading recommendations are shown below.
Also, I've collected academic papers, bias detection tools and other resources in a GitHub repo (https://github.com/lynnlangit/learning-ethical-ai/blob/main/README.md). Shown below are the sections on 'tools' from this repo
As I continue to learn about this topic, I'd be interested to hear from you. What have you read or used to improve the ethics of your machine learning models? Feel free to comment here or to submit PRs to my GitHub repo.
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