Opinion


Artificial intelligence is more powerful than ever. How do we hold it accountable?

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Entrusting important decisions to a system that can't explain itself presents obvious dangers. Take the case of Eric Loomis, a Wisconsin man sentenced to six years in prison for eluding police while driving a car that had been used in a drive-by shooting. The judge's sentence was based in part on a risk score for Loomis generated by COMPAS, a commercial risk-assessment tool used, according to one study, "to assess more than 1 million offenders" in the last two decades. Loomis appealed his sentence, based on the court's use of the AI-generated risk score, because it relied on a proprietary algorithm whose exact methodology is unknown. COMPAS is designed to estimate an individual's likelihood of committing another crime in the future, but evidence suggests that it may be no better at predicting risk than untrained observers.



Capitalising on artificial intelligence

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SHAQIB Shaik is a software engineer at Microsoft. His artificial intelligence (AI)-driven mobile phone that he helped develop, is able to read out loud a menu sheet as it hovers over the menu. His AI-powered sunglasses, another of his invention, enables him to receive an audio commentary of the scenes observed through the glasses.


Our readers are obsessed with these robot vacuums

USATODAY

It's 2018 and robots have officially taken over--or at least they're in charge while they roam around our floors, picking up everything from dirt to pet hair. Like most technology, robot vacuums are there to make our lives a little bit easier with scheduled cleanings at the press of a button--some even have smartphone apps. This makes those weekly (or monthly, we don't judge) deep, whole-house cleanings less strenuous and time consuming.





Neural Networks A Cause of Data Scientist Insomnia? Wikibon's James Kobielus Thinks They Should Be

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In the first half of our two-part conversation with Wikibon lead analyst James Kobielus (@jameskobielus), he discussed the incredible impact of machine learning in helping organizations make better business decisions and be more productive. In today's Part 2, he addresses what aspects of machine learning should be keeping data scientists up at night.


Google, Microsoft, And Amazon Place Bets On AI In The Enterprise

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Google just announced significant enhancements to its machine learning services (MLaaS), attempting to close the significant competitive gap that Microsoft has enjoyed, in my opinion, for the last year or so. Not to be left out, Amazon.com AWS announced the company's own new MLaaS tools and services at AWS Re:Invent last November, trying to court AI application developers to build their smart apps on the AWS cloud. MLaaS is still in its infancy today, but it may become a dominant AI platform for enterprises who would prefer to leave all the messy details to someone else, and rent AI services by the click. This article summarizes each company's strategies and tactics and tries to size up the winners and losers.


Google, Microsoft, And Amazon Place Bets On AI In The Enterprise

#artificialintelligence

Google just announced significant enhancements to its machine learning services (MLaaS), attempting to close the significant competitive gap that Microsoft has enjoyed, in my opinion, for the last year or so. Not to be left out, Amazon.com AWS announced the company's own new MLaaS tools and services at AWS Re:Invent last November, trying to court AI application developers to build their smart apps on the AWS cloud. MLaaS is still in its infancy today, but it may become a dominant AI platform for enterprises who would prefer to leave all the messy details to someone else, and rent AI services by the click. This article summarizes each company's strategies and tactics, and tries to size up the winners and losers.