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Why “AI” is only Half the Answer

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Course Credit: 0.15 CEU, 1.5 PDH

Almost everyone who talks about Artificial Intelligence, nowadays, means neural net-based machine learning from big data, or some other sort of data analytics. Learning and using those patterns is a lot like what our right brain hemispheres do. It enables AI’s to react quickly and — often — adequately. But we human beings also have a left brain hemisphere, which reasons more slowly, logically, and causally. And we make good use of both halves our brain! Human beings’ “super-power” is harnessing both types of reasoning, and I believe that the most powerful AI solutions in the coming decade will likewise be hybrids of right-brain-like “thinking fast” and left-brain-like “thinking slow”. The ability (versus inability) to rationalize their decisions will make near-future AI systems like autonomous cars, household robots, automated assistants to petroleum engineers, AI-powered social media,… far more trusted and far more trustworthy (versus a string of costly and unfortunately newsworthy disasters). This presentation will recap the methods AI has developed for this sort of symbolic representation and automated “thinking slow” reasoning, the progress over the last several decades, and the current state of the art, and illustrate some of this with examples from our applications in the oil and gas industry.

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Course Chapters

  • 1Why “AI” is only Half the Answer - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

Doug Lenat