Most of these are older articles, but I have to catch up on this stuff. I’ve tried to select articles to have a diversity of different publications, so each can be searched to find more relevant information.
Logically, 5 Examples of Biased Artificial Intelligence
World Economic Forum, Research shows AI is often biased. Here’s how to make algorithms work for all of us
New Scientist, Discriminating algorithms: 5 times AI showed prejudice
Harvard Business Review, How to Fight Discrimination in AI
Srinivasan, Hansa. Google, ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems
Hao, Karen. Technology Review, This is how AI bias really happens—and why it’s so hard to fix
Jaspreet, Toward Data Science, Understanding and Reducing Bias in Machine Learning
Barba, Paul. Builtin, 6 Ways to Combat Bias in Machine Learning
Jones, Tim. IBM Developerworks, Machine learning and bias
Sagar, Ram. Analytics India, Top 6 Common Biases In ML Models
Barcelos, Gabe. Arise, Understanding Bias in Machine Learning Models
Google Machine Learning Course, Identifying Bias
Giba, Lari. Machine Learning Compass, Bias, Variance, and Overfitting Explained, Step by Step
Twine, Bias in AI and Data Collection
Zewe, Adam. MIT News, Can machine-learning models overcome biased datasets?
Naik, Ranjita. Microsoft, Social Biases through the Text-to-Image Generation Lens
