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Machine Learning and Google Car | @ThingsExpo #IoT #M2M #ML #API

Even artificial intelligence in Google's self-driving cars isn't infallable

Google self-driving car finally causes an accident - a lesson in AI.

According to The Verge, Google had recently performed a software update that changed the behavior to be more human like.

"So several weeks ago we began giving the self-driving car the capabilities it needs to do what human drivers do: hug the rightmost side of the lane."

The truth is that one of the complaints about self-driving cars is that they are too cautious so Google adapted the software so the car would move to the far right of the lane so two cars could fit in the single wide lane.  This is what a regular, old fashioned, human being does so cars can move more fluidly though the heavily congested streets of California.

All in all a great idea. The incident was that the car detected some road construction and then reentered itself back to the ‘legal' center of the lane to avoid the obstructions. Even though the car was barely moving and edged back to the center, a bus hit the back side of the car.  I am not sure why the self-driving car is at fault, maybe a lawyer can chime in, but the last time I checked, anytime somebody hits you from the back it is their fault.  For our lesson today it doesn't matter who is at fault.

Later in the article Google says:

"We've now reviewed this incident (and thousands of variations on it) in our simulator in detail and made refinements to our software. From now on, our cars will more deeply understand that buses (and other large vehicles) are less likely to yield to us than other types of vehicles, and we hope to handle situations like this more gracefully in the future."

This made me laugh!  In general what Google is saying is that is doesn't matter who has the legal right of way, but when something really big is coming your way you should move.

The lesson is that humans are peculiar and there are rules and then there are "rules."  Programming practical but illegal or illogical rules is going to be part of what we will expect of future AI systems. That is unless we want to become more like machines. Between becoming more like a machine and a machine becoming more like a human I vote the machines become more like us.

Featured image is property of Mark Doliner, unmodified, used with permission.

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John Basso is an experienced technology executive with a unique ability to help businesses win through strategic roles both inside and across multiple organizations. He has been leading technical teams and implementing leading-edge business processes and custom technology solutions for over 20 years.

John’s versatile skill-set across all major business functions has made him an integral part of the success for Amadeus Consulting - where he is the CIO. As a dynamic executive, John is inserted into critical phases of the business lifecycle for Amadeus Consulting and works closely with its business partners to ensure their success.

John's demonstrated ability to manage complex custom software development programs across US and international teams has led to senior executive positions, including Chief Strategy Officer, CTO, and VP of Marketing, with several Amadeus Consulting clients and partners. Additionally, he has extensive experience with venture capital funding and was a key contributor to equity investment deals for three different promising startup companies of over $20 million each. Boards: Left Hand Design Corporation, Business Information & Analytics Advisory Board, University of Denver’s Daniels College of Business

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