Toggle light / dark theme

Kurzweil Responds to ‘When Robots Are Everywhere, What Will Humans Be Good For?’ — By David J. Hill

Lately, media around the web has been bracing for robots — not time-traveling robots per se, but robot workers. Specifically, the increased sophistication of artificial intelligence and improved engineering of robotics has spurred a growing concern about what people are going to do when all the regular jobs are done by robots.

A variety of solutions have been proposed to this potential technological unemployment (we even had an entire Future of Work series dealing with this topic in March), many of which suggest that there will still be things that humans can do that robots can’t, but what are they? Read more

Who Will Own the Robots? — David Rotman | Technology Review

“These are long-term trends that began decades ago, says David Autor, an MIT economist who has studied ‘job polarization’—the disappearance of middle-skill jobs even as demand increases for low-paying manual work on the one hand and highly skilled work on the other. This ‘hollowing out’ of ­the middle of the workforce, he says, ‘has been going on for a while.’ Nevertheless, the recession of 2007–2009 may have sped up the destruction of many relatively well-paid jobs requiring repetitive tasks that can be automated.”

Read more

Does AI Keep You Up at Night? Ask a Tech Visionary Anything

Are you the kind of person who spends a lot of time pondering when machine learning will finally give us humans a run for our money? Or exactly how the technology behind a pulse simulator works? We had a feeling you might be. So what other questions or ideas about the future of technology keep you up at night? This is your chance to have them answered/discussed by two leaders in the field of future tech: Brain Games host and futurist Jason Silva and Matt Grob, CTO of Qualcomm and holder of more than 70 patents relating to wireless communication and cell technology.

Read more

Let’s Shape AI Before AI Shapes Us — G. Pascal Zachary | IEEE Spectrum

“Dark fantasies, however, distract attention from more urgent questions. How will AI affect employment, especially higher-paying work? When will robot writers and artists alter the way humans consume creative content? Who will be held accountable for accidents when humans are no longer in the decision or action loop? Instead of ‘wolf’ criers of the Musk sort, humans need a serious discussion about new norms and practices that will shape and govern AI.” Read more

Google DeepMind Teaches Artificial Intelligence Machines to Read — arXiv | Technology Review

“A revolution in artificial intelligence is currently sweeping through computer science. The technique is called deep learning and it’s affecting everything from facial and voice to fashion and economics. But one area that has not yet benefitted is natural language processing—the ability to read a document and then answer questions about it…Today, that changes thanks to the work of Karl Moritz Hermann at Google DeepMind in London and a few pals. These guys say the special way that the Daily Mail and CNN write online news articles allows them to be used in this way.” Read more