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What We Are Reading:
- Induction, Popper, and machine learning
- What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations
- Human-Centric Decision Support Tools: Insights from Real-World Design and Implementation
- Ethical and social risks of harm from Language Models
- Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
- The social dilemma in artificial intelligence development and why we have to solve it
- Human-AI interaction: An emerging interdisciplinary domain for enabling human-centered AI
- Qualitative Analysis for Human Centered AI
- The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
- Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions