Beyond Correlation: Causal AI Decisions Based on World Models
EN
This lecture explores how causal AI can move beyond correlation-based approaches by combining explicit world models, knowledge graphs and semantic technologies. It examines how causal reasoning can support more transparent, traceable and reliable AI decision-making and introduces deepassist as an example of this approach.
