Resolving the Human-Subjects Status of ML’s Crowdworkers
What ethical framework should govern the interaction of ML researchers and crowdworkers?
Zachary C. Lipton
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When Curation Becomes Creation
Algorithms, microcontent, and the vanishing distinction between platforms and creators.
Research for Practice: Troubling Trends in Machine-Learning Scholarship
Some ML papers suffer from flaws that could mislead the public and stymie future research.
The Mythos of Model Interpretability
In machine learning, the concept of interpretability is both important and slippery.
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