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Michael Kanaan has helped a wide swath of decision-makers better grasp the nature of AI. He has a knack for expressing complex topics in clear, accurate and succinct ways and many of us in the national security community have already had the pleasure of hearing from him in person or in conferences.
His book, T-Minus AI: Humanity’s Countdown to Artificial Intelligence and the New Pursuit of Global Power, provides context and insights in a way that can help concerned citizens and business leaders better grasp the issues of AI. He gives us all a call to action to learn more because as he makes clear in the book, the countdown to AI is actually over.
In this OODAcast we explore a bit of what makes Kanaan tick, and dive into his motivations for this book. We discuss what citizens should know about AI and what business leaders can do to prepare their companies for success in the coming age.
You will find Michael to be very plain spoken. When asked to define AI for us, he approached it in a way we have never heard before, starting with a reminder that on the Internet CATS are everywhere so he wants to use that as an acronym/nemonic. CATS is a reminder to always consider that when a person is talking about AI they may be referring to a Concept, and Application or a Techniques. So when you hear someone talk about AI, be sure to know which the speaker is referring to.
We especially loved at the 10 minute mark in the discussion when he put AI into the context of the OODA loop. He thinks of AI as best in the observe and orient side of the OODA loop, since this is AI doing what it does best, but wants the decide and act part of the decision process to always be a human job. We tend to agree of course, except in use cases where humans have decided the machines are ok to act.
We asked Michael his views on the security if AI and coming issues of the threat and ways to mitigate threats to AI. His view: just like building trust with humans, we need to build trust with AI, and it will take time to do that.
Podcast Version:
Michael’s Bio:
Michael Kanaan was the first chairperson of artificial intelligence for the U.S. Air Force, Headquarters Pentagon. In that role, he authored and guided the research, development, and implementation strategies for AI technology and machine learning activities across its global operations. He is currently the Director of Operations for Air Force / MIT Artificial Intelligence. In recognition of his fast-rising career and broad influence, the author was named to the 2019 Forbes “30 Under 30” list and has received numerous other awards and prestigious honors–including the Air Force’s 2018 General Larry O. Spencer Award for Innovation as well as the US Government’s Arthur S. Flemming Award (an honor shared by past recipients Neil Armstrong, Robert Gates, and Elizabeth Dole). Kanaan is a graduate of the US Air Force Academy and previously led a National Intelligence Campaign for Operation Inherent Resolve in Syria and Iraq.
Organizations in competitive environments should continually look for ways to gain advantage over their competitors. The ability of a business to learn and translate that learning into action, at speeds faster than others, is one of the most important competitive advantages you can have. This fact of business life is why the model of success in Air to Air combat articulated by former Air Force fighter pilot John Boyd, the Observe – Orient – Decide – Act (OODA) decision loop, is so relevant in business decision-making today.
In this business model, decisions are based on observations of dynamic situations tempered with business context to drive decisions and actions. These actions should change the situation meaning new observations and new decisions and actions will follow. This all underscores the need for a good corporate intelligence program. See: A Practitioner’s View of Corporate Intelligence
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The best business leaders are good at spotting falsehoods. Some joke and say the have a “bullshit detector”, but that humorous description does not do service to the way great leaders detect falsehoods. Bullshit is easy to detect. You see it and smell it and if you step in it it is your own fault. In the modern world falsehoods are far more nuanced. Now more than ever, business and government leaders need to ensure their mental models for detecting falsehood are operating in peak condition. For more see: Fine Tuning Your Falsehood Detector: Time to update the models you use to screen for deception, dishonesty, corruption, fraud and falsity
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