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In the end, we look back at our careers and reflect on what we’ve achieved. It may have been the hundreds of human interactions we’ve had; the thousands of emails read and replied to; the millions of minutes of physical labor—all to keep the global economy ticking along.

According to Gallup’s World Poll, only 15 percent of people worldwide are actually engaged with their jobs. The current state of “work” is not working for most people. In fact, it seems we as a species are trapped by a global work crisis, which condemns people to cast away their time just to get by in their day-to-day lives.

Technologies like artificial intelligence and automation may help relieve the work burdens of millions of people—but to benefit from their impact, we need to start changing our social structures and the way we think about work now.

Are you worried about AI collecting your facial data from all the pictures you have ever posted or shared? Researchers have now developed a method for hindering facial recognition.

It is a commonly accepted fact nowadays that the images we post or share online can and might find themselves being used by third parties for one reason or another. It may not be something we truly agree with, but it’s a fact that most of us have accepted as an undesirable consequence of using freely available social media apps and websites.

To avoid this happening, a team of researchers from the University of Chicago have developed an algorithm, named “Fawkes,” as an ode to Guy Fawkes, that works in the background to slightly alter your image, which is mostly unnoticeable to human eye. The reason for this is that companies, such as, Clearview, which collect large amounts of facial data, use artificial intelligence to find and connect one photograph of one’s face to another photograph from elsewhere. This connection is found by linking the similarities between the two photos. However, it doesn’t mean that the recognition only occurs when identical facial symmetry or characteristics, such as moles, are found. Facial recognition also looks into “invisible relationships between the pixels that make up a computer-generated picture of that face.”

We would soon have an Ai teacher @ Ogba Educational Clinic.


Watch our Discussed episode where we dive deeper into the topic with Dr. Joanna Bryson: https://bit.ly/what-if-your-teacher-were-ai

Have you ever had a teacher that was just, well, kind of boring? Maybe even a little, robotic? We’ve all been there. Let’s face it, it’s hard to learn when you’re being put to sleep. But what if we found a completely new way of learning? Could a robot be a better teacher than a human? How might education change with AI?

Do you agree Eric Klien

Apple AI chief and ex-Googler John Giannandrea dives into the details with Ars.


Machine learning (ML) and artificial intelligence (AI) now permeate nearly every feature on the iPhone, but Apple hasn’t been touting these technologies like some of its competitors have. I wanted to understand more about Apple’s approach, so I spent an hour talking with two Apple executives about the company’s strategy—and the privacy implications of all the new features based on AI and ML.