Probabilistic programming lets researchers build machine learning algorithms more like coders build computer programs. But the real power of the technique lies in its ability to deal with uncertainty. This can allow AI to learn from less data, but it can also help researchers understand why an AI reaches particular decisions
https://www.stateof.ai/
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> Probabilistic programming lets researchers build machine learning algorithms more like coders build computer programs. But **the real power of the technique lies in its ability to deal with uncertainty.** This can allow AI to learn from less data, but it can also help researchers understand why an AI reaches particular decisions
[The AI community is realizing how important **causal reasoning could be** for machine learning and are scrambling to find ways to bolt it on.](https://knowen-production.s3.amazonaws.com/uploads/attachment/file/4782/causal%2BAI.pdf)