Machine Learning Times
Machine Learning Times
AI and ML in Health Care: A Brief Review
 Of the many disciplines that are active users of...
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
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Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...

4 years ago
Blatantly Discriminatory Machines: When Algorithms Explicitly Penalize

 Originally published in The San Francisco Chronicle (the cover article of Sunday’s “Insight” section) What if the data tells you to be racist? Without the right precautions, machine learning — the technology that drives risk-assessment in law enforcement, as well as hiring and loan decisions — explicitly penalizes underprivileged groups. Left to its own devices, the algorithm will count a black defendant’s race as a strike against them. Yet some data scientists are calling to turn off the safeguards and unleash computerized prejudice, signaling an emerging threat that supersedes the well-known concerns about inadvertent machine bias. Imagine sitting

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