10.07.2025

Beyond Prediction: How Causal AI Enables Better Decision-Making - With Stefan Feuerriegel
Research Film
A good prediction is rarely a good decision. This may sound surprising in an age where AI is often celebrated for its predictive power. But when it comes to making real-world decisions — especially in complex environments like business or healthcare — prediction alone doesn’t cut it. What we need is AI that can help us choose what to do, not just tell us what might happen.
That’s the power of causal machine learning. Instead of forecasting outcomes in general, it predicts what will happen under specific decisions — whether it’s choosing one business strategy over another or selecting the right medical treatment.
As Stefan Feuerriegel, Professor at LMU Munich and MCML PI, puts it: “Decision-makers don’t need one crystal ball, but two — one for each possible action”. Only then can they choose what truly works best.
©MCML
The film was produced and edited by Nicole Huminski and Nikolai Huber.
Related

29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Kerstin Forster researches how AI can cut emissions, boost renewable energy, and drive corporate sustainability.

26.09.2025
Björn Ommer Featured in WELT
MCML PI Björn Ommer told WELT that AI can never be entirely neutral and that human judgment remains essential.

25.09.2025
Björn Schuller Featured in Macwelt Article
MCML PI Björn Schuller discusses in Macwelt how Apple Watch monitors health, detects subtle changes, and supports early intervention.

24.09.2025
MCML PI Björn Ommer Featured on ZDF NANO Talk
MCML PIs Björn Ommer & Alena Buyx discuss AI’s essence on ZDF NANO Talk, covering tech, ethics, and societal impact.