Hacker News
- Injecting fairness into machine-learning models https://news.mit.edu/2022/unbias-machine-learning-0301 2 comments
- A new course to teach people about fairness in machine learning https://www.blog.google/technology/ai/new-course-teach-people-about-fairness-machine-learning/amp/ 107 comments
- Approaching fairness in machine learning http://blog.mrtz.org/2016/09/06/approaching-fairness.html 50 comments
- Delayed Impact of Fair Machine Learning http://bair.berkeley.edu/blog/2018/05/17/delayed-impact/ 32 comments
- Machine Learning Can Be Fair and Accurate - CMU Researchers Dispel Theoretical Assumption About ML Trade-Offs in Policy Decisions https://www.cmu.edu/news/stories/archives/2021/october/machine-learning-fair-accurate.html 3 comments futurology
- Machine learning can be fair and accurate "But it does require you to deliberately design systems to be fair and equitable. Off-the-shelf systems won't work." https://www.cmu.edu/news/stories/archives/2021/october/machine-learning-fair-accurate.html 18 comments science
- Make “Fairness by Design” Part of Machine Learning https://hbr.org/2018/08/make-fairness-by-design-part-of-machine-learning 17 comments datascience
- Cat, dog, or Elon Musk? - Getting started with machine learning with Python and TensorFlow 2.0. Super easy intro into a fairly complex topic. What do you think about the article? https://towardsdatascience.com/cat-dog-or-elon-musk-145658489730 5 comments learnmachinelearning
- Can I make a machine learning fighting game AI in 2 months for a Science Fair project? https://www.reddit.com/r/learnprogramming/comments/79e7ev/can_i_make_a_machine_learning_fighting_game_ai_in/ 5 comments learnprogramming
- [R] How to avoid machine learning pitfalls: a guide for academic researchers. Covers five stages of the machine learning process: what to do before model building, how to reliably build models, how to robustly evaluate models, how to compare models fairly, and how to report results. https://arxiv.org/abs/2108.02497 11 comments machinelearning
- Health Equities and Machine Learning: a perspective into how data can be leveraged to bring fairness into health sciences and public health https://www.nature.com/articles/s42256-021-00373-4 6 comments science
- Google “Machine Learning Fairness” Whistleblower Goes Public, says: “burden lifted off of my soul” https://www.projectveritas.com/2019/08/14/google-machine-learning-fairness-whistleblower-goes-public-says-burden-lifted-off-of-my-soul/ 14 comments degoogle
- Google "Machine Learning fairness". Whistleblower goes public; says: "burden lifted off my soul". https://www.projectveritas.com/google-document-dump/ 6 comments privacy
- Fair is not the default - Google write-up on the problem of human bias and "data blindness" in artificial intelligence and machine learning https://design.google/library/fair-not-default/ 310 comments philosophy