Based on four interviews, the paper argues that requirements engineering for ML needs new requirement types, including explainability, freedom from discrimination, data requirements, and an understanding of ML performance measures.
Using reinforcemen t learning to handle the runtime uncertainties in self-adapt ive software,
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Requirements Engineering for Machine Learning: Perspectives from Data Scientists
Based on four interviews, the paper argues that requirements engineering for ML needs new requirement types, including explainability, freedom from discrimination, data requirements, and an understanding of ML performance measures.