Ausgabe 1/2022
Special Issue Title: Machine Learning: Prediction Without Explanation?
Inhalt (10 Artikel)
Open Access
Editorial
Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation?
F. J. Boge, P. Grünke, R. Hillerbrand
Open Access
Correction
Correction to: (What) Can Deep Learning Contribute to Theoretical Linguistics?
Gabe Dupre
Open Access
Original Article
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory
Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco
Open Access
SI: Machine Learning: Prediction Without Explanation
Two Dimensions of Opacity and the Deep Learning Predicament
Florian J. Boge
Open Access
Original Research
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
Timo Freiesleben
Open Access
Original Article
Analogue Models and Universal Machines. Paradigms of Epistemic Transparency in Artificial Intelligence
Hajo Greif
S.I. : Machine learning: Prediction Without Explanation?
Explanations in AI as Claims of Tacit Knowledge
Nardi Lam
Original Article
The Automated Laplacean Demon: How ML Challenges Our Views on Prediction and Explanation
Sanja Srećković, Andrea Berber, Nenad Filipović
Open Access
Original Article
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Open Access
Original Article
Scientific Exploration and Explainable Artificial Intelligence
Carlos Zednik, Hannes Boelsen