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The Advanced Course on Human-Centered AI: Learning Objectives
Conceptual Foundations of Human-Centric AI
Machine Learning With Neural Networks
Generative Networks and the AutoEncoder
Convolutional Neural Networks
Transformers in Natural Language Processing
Vision and Multi-Modal Transformers
Transformers in Automatic Speech Recognition
Interactive Robot Learning: An Overview
Explainable Machine Learning for Trustworthy AI
Why and How Should We Explain AI
Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies
An Introduction to Ethics and AI
Law for Computer Scientist
Mythical Ethical Principles for AI and How to Attain Them
Operationalising AI Ethics: Conducting Socio-Technical Assessment
Writing Science Fiction as an inspiration for AI research and Ethics Dissemination
Argumentation in AI
Computational Argumentation Cognitive AI
Agent-based Social Simulation for Policy Making
Towards a Social Artificial Intelligence.

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