We’re a long way from the halcyon days of the early internet, when the promise of a decentralized digital communications network meant anyone could talk to anyone without appealing to the gatekeepers. Knowledge would be liberated from elite newsrooms and stodgy old encyclopedia sets. “Information wants to be free” was the slogan of the day.

We’ve since learned “free” information often has a price.

Fast-forward to 2019, when science fiction author Neal Stephenson’s book, Fall; or Dodge in Hell, traces a near future in which the internet is nicknamed the “Miasma.” The digital haves and have-nots are separated by who can afford human “editors” to curate the web, filter out the rubbish, and guard their employers’ identities and information online. There are those privileged enough to float above the noise, selectively dipping in for reliable information, and those drowning in, and being driven mad by, the mass of disinformation and propaganda lurking below.

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Artificial Intelligence (AI)

As artificial intelligence (AI) systems take on more tasks and solve more problems, it’s hard to say which is rising faster: our interest in them or our fear of them. Futurist Ray Kurzweil famously predicted that “By 2029, computers will have emotional intelligence and be convincing as people.”

We don’t know how accurate this prediction will turn out to be. Even if it takes more than 10 years, though, is it really possible for machines to become conscious? If the machines Kurzweil describes say they’re conscious, does that mean they actually are?

Perhaps a more relevant question at this juncture is: what is consciousness, and how do we replicate it if we don’t understand it?

In a panel discussion at South By Southwest titled “How AI Will Design the Human Future,” experts from academia and industry discussed these questions and more.

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For big companies, success is a blessing and a curse. You don’t get big without doing something (or many things) very right. It might start with an invention or service the world didn’t know it needed. Your product takes off, and growth brings a whole new set of logistical challenges. Delivering consistent quality, hiring the right team, establishing a strong culture, tapping into new markets, satisfying shareholders. The list goes on.

Eventually, however, what made you successful also makes you resistant to change.

You’ve built a machine for one purpose, and it’s running smoothly, but what about retooling that machine to make something new? Not so easy. Leaders of big companies know there is no future for their organizations without change. And yet, they struggle to drive it.

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