It all begins as a study on the psychology of prison life led by Stanford psychology professor Dr. Philip Zimbardo. 24 volunteers - 12 guards and 12 prisoners - have agreed to spend the next two weeks recreating life in a correctional facility. Normal people can become monsters, given the right situation, that's the standard narrative of the Stanford Prison Experiment, one of the most famous psychological experiments of all time.
But what if the cause of its participants' cruel behavior wasn't what we've always been told?

Mind reading might sound like pseudoscientific, but its scientific counterpart, thought identification, is very much a real thing. It's based in neuroimaging and machine learning, and what's really cool is that experiments in mind reading aren't just about spying on what someone is thinking. They're about figuring out what thoughts are even made of.
When you think of something, what does that mental picture actually look like? What resolution is it in? How high fidelity is a memory, and how do they change over time? In this episode, we are going to look at how reading people's minds can help us answer these questions.

This film reveals the work and wisdom of some of the most influential advertising creatives of our time -- people who've profoundly impacted our culture, yet are virtually unknown outside their industry. Exploding forth from advertising's 'creative revolution' of the 1960s, these artists and writers all brought a surprisingly rebellious spirit to their work in a business more often associated with mediocrity or manipulation: George Lois, Mary Wells, Dan Wieden, Lee Clow, Hal Riney and others featured in ART & COPY were responsible for 'Just Do It,' 'I Love NY,' 'Where's the Beef?,' 'Got Milk,' 'Think Different,' and brilliant campaigns for everything from cars to presidents. They managed to grab the attention of millions and truly move them.
Art & Copy is a powerful film about advertising and inspiration.

Everywhere you go, you generate a cloud of data. You're trailing data, everything that you do is producing data. And then there are computers looking at that data that are learning, and these computers are essentially trying to serve you better. They're trying to personalize things to you. They're trying to adapt the world to you. So on the one hand, this is great, because the world will get adapted to you without you even having to explicitly adapt it. There's also a danger, because the entities in the companies that are in control of those algorithms don't necessarily have the same goals as you, and this is where I think people need to be aware that, what's going on, so they can have more control over it.
We came into this new world thinking that we were users of social media and search engines. It didn't occur to us that social media and search engines were actually using us.

Frequent security expos feature companies like Megvii and its facial- recognition technology. They show off cameras with A.I. that can track cars, and identify individuals by face, or just by the way they walk. In China it's been projected that over 600 million cameras will be deployed by 2020. Here, they may be used to discourage jaywalking, but they also serve to remind people that the state is watching. Matching with the most advanced artificial intelligence algorithm, they can actually use this data, real-time data, to pick up a face or pick up a action.
A.I. is a technology that can be used for good and for evil. So, how do governments limit themselves in, on the one hand, using this A.I. technology and the database to maintain a safe environment for its citizens, but not to encroach on a individual's rights and privacies?

The series about the man, myth and legend - founder of Microsoft and co-founder of the Bill and Melinda Gates Foundation - reflects on his trailblazing work with computer software, starting the largest private philanthropic foundation. Bill Gates opens up about his childhood, business career and passion for improving the lives of people in the developing world.
When Bill Gates stepped down from Microsoft in 2008, he was worth more than 58 billion dollars. He built that fortune thinking about computer software, operating systems, spreadsheets and the Internet. What was on his mind?