Category Archives: Internet

Google taps Van Jones and Anil Dash to discuss race and algorithmic bias

 You may remember that time Google was under fire for wrongfully indicating that photos of black people were gorillas, and the time Microsoft’s AI bot named Tay turned incredibly racist. Today at Google’s Mountain View headquarters, the company acknowledged its shortcomings, as well as the shortcomings of other technologies in relation to racism and bias at Decoding Race, the… Read More
Go to Source
Author: Megan Rose Dickey

Powered by WPeMatico

Numer.ai is a crowdsourced hedge fund for machine learning experts

 Richard Craib believes that some of the best stock pickers aren’t on Wall Street. The former hedge funder came to the realization that tech’s machine learning experts may be able to build better predictive models than those with finance backgrounds. Craib carried this thesis forward when he launched Numer.ai last year, a crowdsourced hedge fund. The startup hopes to attract the… Read More
Go to Source
Author: Katie Roof

Powered by WPeMatico

Protecting America’s critical infrastructure must remain a priority

 America’s dependence on technology and web-based communication has forever changed the way government functions at every level. But it’s not only highly sensitive data and intellectual property that government officials must keep secure; America’s access to drinking water, electricity, transportation networks and countless other types of critical infrastructure are at risk… Read More
Go to Source
Author: Charles Harrington

Powered by WPeMatico

Tech’s Biggest Showdown Is Unfolding in Your Living Room

The tech behind the Amazon Echo, Google Home, and Microsoft’s Project Evo is at the heart of a three-way rivalry that will define the industry for years. The post Tech’s Biggest Showdown Is Unfolding in Your Living Room appeared first on WIRED.


Go to Wired
Author: Cade Metz

Powered by WPeMatico

5 unexpected sources of bias in artificial intelligence

 We tend to think of machines, in particular smart machines, as somehow cold, calculating and unbiased. For some of us, this is a bug: Machines should not be empathetic outside of their rigid point of view. For others, it is a feature: They should be freed of human bias. But in the middle, there is the view they will be objective. Of course, nothing could be further from the truth. Read More
Go to Source
Author: Kristian Hammond

Powered by WPeMatico