May 13, 2019 article Open access Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Nature Machine Intelligence DOI: 10.1038/s42256-019-0048-x Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 70 stored of 10,421 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access GPT-4o and the Quest for Machine Learning Interpretability in ICU Mortality Prediction 2024 Research Square preprint Computer Science Machine Learning in Healthcare Open access 0 citations KI zwischen Blackbox und Transparenz 2024 Digitale Soziologie book-chapter Computer Science Explainable Artificial Intelligence (XAI) Open access 0 citations Large Language Models and Biblical Hebrew: Limitations, pitfalls, opportunities 2024 HIPHIL Novum article Computer Science Natural Language Processing Techniques Open access 0 citations No Agent in the Machine: Being Trustworthy and Responsible about AI 2024 Philosophy & Technology article Social Sciences Ethics and Social Impacts of AI Open access 20 citations Is Ockham’s razor losing its edge? 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