May 06, 2021 conference-paper Open access Expanding Explainability: Towards Social Transparency in AI systems CHI Conference on Human Factors in Computing Systems DOI: 10.1145/3411764.3445188 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 506 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 Quantifying Model Uncertainty with AutoML and Rashomon Partial Dependence Profiles: Enabling Trustworthy and Human-centered XAI 2026 Information Systems Frontiers article Computer Science Explainable Artificial Intelligence (XAI) Open access 0 citations Beyond the Single-Best Model: Rashomon Partial Dependence Profile for Trustworthy Explanations in AutoML 2025 Lecture notes in computer science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access 2 citations 2 results References 0