Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity

Balayn Agathe
Balayn Agathe
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Abstract:

Machine Learning (ML) is increasingly applied in real-life scenarios, raising concerns about bias in automatic decision making. We focus on bias as a notion of opinion exclusion, that stems from the direct application of traditional ML pipelines to infer subjective properties. We argue that such ML systems should be evaluated with subje...More

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