Birs- 22w5055: Interpretability in Artificial Intelligence
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Title: Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning
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Title: Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations
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Title: Quantitative assessment of attention based explanations
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Title: Through the Looking-Glass: Understanding Model Behavior
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Title: Flash Talk: Interpretability needs for ML in GWAS and intensive care
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Title: Focus! Rating XAI Methods and Finding Biases
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Title: The AGI is here. The Artificial General Idiot, that is. Human General Intelligence to the rescue!
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Title: Interpretable Machine Learning for Safety and Teaming
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Title: Fully differentiable rule learning
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Title: Fast Sparse Decision Tree Optimization
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Title: Concept Whitening for Interpretable Image Recognition
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Title: The Extreme of Interpretability in Machine Learning: Sparse Generalized Additive Models and Optimal Sparse Decision Trees
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Title: Panel Discussion "Biases in AI"
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Title: Discovering hidden signatures in biomedical data across space and time
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Title: Causal Perspectives in Explaining Neural Network Models
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Title: Interpretability in Artificial Intelligence applications for rare diseases
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Title: Interpretable models in genomics
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Title: Building a Mind for Cancer
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Title: Learning biology from the data with interpretable machine learning
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Title: Evidence-Driven Learning for Interpretability
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