Learning Path

Human-AI Interaction: Transparency, Trust, and Explainability

HCI Fundamentals → Evaluation Methods for Human-AI Interaction

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This advanced graduate-level learning path equips researchers and designers with the knowledge to understand and design interactions with AI systems, focusing on transparency, explainability, trust, and user feedback. It covers foundational HCI principles, core AI concepts, and specialized topics in explainable AI and human-AI collaboration, culminating in practical design and evaluation strategies.

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Learning Route

10 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps