Specification Overfitting in Artificial Intelligence
Benjamin Roth,
Pedro Henrique Luz de Araujo,
Yuxi Xia
et al.
Abstract:Machine learning (ML) and artificial intelligence (AI) approaches are often criticized for their inherent bias and for their lack of control, accountability, and transparency. Consequently, regulatory bodies struggle with containing this technology's potential negative side effects. High-level requirements such as fairness and robustness need to be formalized into concrete specification metrics, imperfect proxies that capture isolated aspects of the underlying requirements. Given possible trade-offs between di… Show more
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