Lecture: Causality for AI & ML
Winter Semester 2025/26 - TU Darmstadt
Slides and recordings for the course 'Causality for AI & ML' taught during winter semester 2025/26 at TU Darmstadt.
Recordings: Playlist 
Full Lecture Slides: CAI_2526.zip (50MB)
Lecture 01: Introduction:
Slides [v2]Lecture 02: Probabilities and Bayesian Networks:
SlidesLecture 03: Structural Causal Models:
Slides [v3]Lecture 04: do-Calculus:
Slides [v2]Lecture 05: Causal Discovery:
SlidesLecture 06: Uncertainty:
Slides [v2]Lecture 07: Causal Abstractions:
SlidesLecture 08: Neuro-Causal Models:
Slides [v2]Lecture 09: Causal Representation Learning:
Slides [v2]Lecture 10: Causality and LLMs:
SlidesLecture 11: Bias and Fairness:
SlidesLecture 12: Actual Causality:
Slides [v3]Lecture 13: Causal Perspectives:
SlidesLecture 14: Meta-Causal Models:
Slides [v2]Lecture 15: Recap:
Slides [v2]