Stefan Grundmann

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Health Informatics — 7 citations into it
• AI Ethics, Fairness & Society — 5 citations into it
• Safety Research — 5 citations into it

Whom Stefan Grundmann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric J. Topol
2. Andrew D. Selbst

Papers from Stefan Grundmann's perspective

Ordered by how strongly the researchers Stefan Grundmann trusts endorse each paper. Same corpus, a different order for every researcher.

1. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
2. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
3. Unmasking Clever Hans predictors and assessing what machines really learn
4. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
5. European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation"
6. Machine learning applications in cancer prognosis and prediction
7. Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
8. The Intuitive Appeal of Explainable Machines
9. Dermatologist-level classification of skin cancer with deep neural networks
10. An Interpretable Model with Globally Consistent Explanations for Credit Risk

Their papers

• Explainable AI under contract and tort law: legal incentives and technical challenges (2020) — 125 citations