The increasing expectations for strong AI have met with 3 fundamental obstacles:
- Adaptability or robustness,
- Explainability,
- Unable to understand cause-effect connections.
All these three obstacles can be overcome with causal modeling tools. In this site, you will learn causal inference from Zero To All .
News
Click on notebook on colab to see News, blogs about causal inference. 偏好故事性而不是学术性。
Mini-Turing test
How can machines represent causal knowledge in a way that would enable them to access the necessary information swiftly, answer questions correctly, and do it with ease, as a human can?
How causal graphs will change the future?
Pearl: it will enable us to understand ourselves. To implement agency, to implement free will in a machine so that we can communicate better with machine. And by communicating better we gain a greater understanding of ourselves.