Digital Discrimination: Cognitive Bias in Machine Learning
summary
Covers how bias enters machine learning systems and practical ways to address it using open-source tools for detecting and mitigating bias in models. Names the problem of real-world harm from biased algorithms and points to an ecosystem of contributors and tools for building fairer, more inclusive ML systems.
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