What is Causal AI?

Causal AI unlocks the mysteries behind AI. While conventional AI spots correlations, causal AI delves deeper, understanding cause and effect relationships. Discover how causal AI fosters transparency, reduces bias, and empowers industries from healthcare to finance.

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#generativeai #causality #largelanguagemodels #eyeontech

[shaikssmartworldtechyoutub]

I'm not from computer science background but ur teams concise explanation won my heart❤

[brijeshkp]

Seems to be Great channel..do you have gen ai Playlist?

[jonwill]

Well presented; thank you for sharing. At what point of progression would you rank causal AI along the continuum of weak to strong AI?

[BABA-iskv]

Thank you, I really enjoy this channel

[solifugus]

Ok but your explanation certainly did not explain an appropriate way to determine causation--at least not in statistical terms. To find the cause of something, you must uncover what is both necessary and sufficient. And, experimentation is required. You must test it to ensure it causes the event. This experimentation doesn't have to be in the actual, per se, however. If you derive your predicted cause from past data and then test it against future data then that is good enough--even if that future data was only due to your model not having employed it yet. The actual future is not required. Part of this is to avoid confirmation bias--the most common logical error.