Lifeboat Foundation

I was a guest on the Robot Overlordz podcast again recently, and was asked about my post on Medium for KnowledgeWorks called “Preparing for Hybrid Schools and Jobs.” The conversation with Mike and Matt took some interesting turns, as always, and they got me thinking about some really important questions when it comes to blockchain and society, namely: assuming blockchain lives up to it’s reputation as a ‘truth machine,’ as I refer to it in my post, or a ‘revolution,’ as the Tapscotts say, why is there now a need for a revolutionary technology to enhance trust?

Although blockchain has captured the attention of the financial, management consulting and consumer goods industries, it hasn’t quite taken hold in education yet. KnowledgeWorks has published a fantastic report on the possibilities. I suggest in my post that the rise of hybrid jobs will generate support for hybrid schooling, and blockchain may be the technology that is best suited to track and communicate qualifications. The World Economic Forum said it best: “Farewell Job Title, Hello Skill Set.” If we are to be evaluated on our skills and experience, we must have some reliable way of guarding and transmitting that information.

But why is it that we need to enhance trust among students and teachers, employees and employers? I think that the facts that college students (some who didn’t even graduate) owe massive student loans, though worker’s wages have gone stagnant, play into this tension. How can students trust schools to provide the education they need, considering the high cost and the gamble that it may never really be recouped?

We are beginning to see slight signals that things are changing, at least a little, on the remuneration side, and it’s possible that a truth machine could help restore trust to hierarchical relationships (student/university and employee/employer) that are extremely out of balance. But what is at risk in assuming a technology can reverse human corruption?

Horizon Robotics, led by Yu Kai, Baidu’s former deep learning head, is developing AI chips and software to mimic how the human brain solves abstract tasks, such as voice and image recognition. The company believes that this will provide more consistent and reliable services than cloud based systems.

The goal is to enable fast and intelligent responses to user commands, with out an internet connection, to control appliances, cars, and other objects. Health applications are a logical next step, although not yet discussed.

Wearable Tech + Digital Health San Francisco – April 5, 2016 @ the Mission Bay Conference Center.

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