Judea Pearl on explainable-AI: teach machines cause and effect
To build truly intelligent machines, teach them cause and effect, emphasizes Judea PEARL in a recent Quanta Magazine article (May, 15, 2018) posted by Kevin HARTNETT. Judea Pearl won in 2011 the Turing Award (“the Nobel Prize in Computer Science”) and just published his newest book, called “The book of why: the new science of cause and effect”, wherein Pearl argues that AI has been handicapped by an incomplete understanding of what intelligence really is. Causal reasoning is a cornerstone in explainable-AI!
Read the interesting article here:
https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515
The book is also announced by the UCLA newsroom, along with a nice interview see:
https://newsroom.ucla.edu/stories/artificial-intelligence-pioneers-new-book-examines-the-science-of-cause-and-effect
