Nichtwissen bei maschinellem Lernen

Iva Kostov analyses the legal implications of different gaps in knowledge, often addressed with catchwords like »blackbox« or »opacity«, that go hand-in-hand with the implementation of machine learning. By using the analytical perspective of non-knowledge and focusing on a specific implementation context, she identifies the crucial legal issues, suggests solutions and excludes widely discussed but ultimately legally irrelevant aspects from this complex and interdisciplinary field of research.