Importance of Good Data Sets in AI and Data Science
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a collection of articles about Using AI and Data science
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AI can be sexist and racist — it’s time to make it fair | Nature
Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the ...
If Your Data Is Bad, Your Machine Learning Tools Are Useless | Harvard
Five steps to ensure higher-quality data.
“Poor data quality is enemy number one to the widespread, profitable use of machine learning. While the cau...
Ethical issues in research using datasets of illicit origin
paper “Ethical issues in research using datasets of illicit origin” by Daniel R. Thomas, Sergio Pastrana, Alice Hutchings, Richard Clayton, and Alastair...
600,000 Images Removed from AI Database After Art Project Exposes Racist Bias
The image tagging system that went viral on social media was part of artist Trevor Paglen and AI researcher Kate Crawford's attempts to publicize how pr...
a16z Podcast: The Product Edge in Machine Learning Startups – 2017 - Andreessen H...
A lot of machine learning startups initially feel a bit of “impostor syndrome” around competing with big companies, because (the argument goes), those c...
This is how AI bias really happens—and why it’s so hard to fix - MIT Technology Re...
Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.