Human-Centered Artificial Intelligence

PART I: Explainable AI 1. Are AI models Explainable, Interpretable, and Understandable? 2. Explanation Using Interpretable Models 3. Explanation Using Model-Agnostic Methods 4. Explanation Using Examples 5. Explanation of Ensemble Models 6. Explanation of Deep Learning Models

PART II: User-Centered AI Design and Development Process 7. User-centered explanation interfaces for effective communication between users and AI-based systems 8. Mind perception of human-centered AI: Effects of unfavorable social conditions on user experience of AI 9. Designing user interfaces for AI-based decision support systems

PART III: Applications in Human-AI Interaction 11. Review on recent AI/ML studies about manufacturing systems 12. AI in BCI 13. AI in Human-Robot Interaction 14. AI in Healthcare 15. AI in Decision Making 16. TBD

PART IV: Ethics, Privacy and Policy in Human-AI Interaction 17. Ethics of AI in academic and public discourse 18. Designing explainable artificial intelligence from policy perspectives 19. AI governance 20. TBD

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• Psicologia experimental
• Fisiológico e neuro-psicologia, biopsicologia
• A ciência cognitiva
• Psicologia da criança e do desenvolvimento
• Cognição e psicologia cognitiva
• Psicologia educacional
• Inteligência artificial

AdaBoost; AI agent; AlphaGo; Anthropomorphism; Artificial intelligence; Artificial intelligence (AI); Autonomy; Backpropagation; Bagging; Black box; Boosting; Class Activation Map; Conv-layer; ConvNet; Corporate social responsibility (CSR); DARPA; Data simulation; Deep learning; EEGNet; Electroencephalogram; Electroencephalography; Ensemble learning; Ethics; Explainable AI; Explainable AI (XAI); Explainable Artificial Intelligence; Explainable artificial intelligence; Explanation interface; FATE; Guided Grad-CAM; Hessian matrix; Human behavior; Human-Computer Interaction; Human-computer interaction; Human-knowledge activation; Hyperpersonalized ads; inTrees; k-nearest neighbor; Labeling; LeNet-5; Machine learning; Machine learning models; Model-agnostic method; Motivated cognition; Neural network; Nondestructive testing; OpenPose; Organizational justice; Partial dependence plot; Posthoc approaches; Pragmatic explanation; Prediction; Prediction integration; Public discourse; Public policy; Q-Learning