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Presenter: Mathias K. Hauglid, PhD candidate (UiT, faculty of law) and legal advisor at SPKI/Norwegian Centre for Clinical Artificial Intelligence (UNN)
Abstract:
Models based on machine learning and deep learning are promising decision support tools in areas where decisions have important consequences for individuals.Consider, for example, medical diagnoses and decisions on prioritisation, the decision to flag a person as ‘high risk’ in relation to tax fraud detection, or the determination of welfare benefits. These decisions are subject to legal requirements pertaining to explainability, neutrality, and non-discrimination.The presentation highlights how certain methods within machine learning may be relied on when assessing an AI system’s compliance with such laws.
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