Optimal policy decisions – Augmenting human intelligence with Causal AI
Current machine learning has had some great successes. However, it has shown to have some severe limitations. These can be especially problematic for decision-making. Fortunately, there’s a new emerging science that has the potential to overcome these limitations and truly augment human intelligence. This science – called Causal AI – enables machines to reason, through understanding cause and effect.
- Understand how true causal drivers allow Causal AI to do much more than just make accurate predictions of the future.
- Hear about how Causal AI produces fully transparent and explainable models that allow seamless interaction and collaboration with the user.
- Learn how this technology enables decision makers to realistically model the effects of interventions on systems and to explore counterfactual scenarios.
- Discover examples that demonstrate Causal AI’s current success in policy making, resource allocation and beyond.