How AI Makes The Tough Choices

By 2050, driverless cars and mobility as a service will grow to $7 trillion worldwide. Driverless cars will save consumers 250 million hours of free time from behind the wheel, $234 billion in public costs will be saved by reducing accidents from human error, and driverless cars can eliminate 90% of traffic fatalities – saving over 1 million lives every year. So if driverless are so time and money saving there has to be a catch.

The main catch for AI driving is how they decide who to save in a crash – can AI think ethically and how does it decide who should live and who should die? Most people feel that driverless cars should save as many lives as possible, but very few were willing to buy a vehicle programmed to minimize harm, rather they prefer cars programmed to protect passengers at all costs. Driverless cars will save a lot of lives, but programming them to do so could slow their adoption into society and cost many more lives. Real life applications grow even more complex in an accident causing injuries but not fatalities and the AI will have to make many hard decisions.

Find out how driverless cars are advancing and how AI is making decisions here.

Ethical AI
Source: Cyber Security Degrees

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Brian Wallace is the Founder and President of NowSourcing , an industry leading infographic design agency based in Louisville, KY and Cincinnati, OH which works with companies that range from startups to Fortune 500s. Brian also runs #LinkedInLocal events nationwide, hosts the Next Action Podcast , and has been named a Google Small Business Advisor for 2016-2018.

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