Computers are being taught to learn, reason and recognize emotions. In these talks, look for insights -- as well as warnings.
| # | Título | Descripción | |||
|---|---|---|---|---|---|
| 1 |
Can we build AI without losing control over it?
14:28
|
Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We're going to build superhuman machines, says Harris, but we haven't yet grappled with the problems associated with creating something that may treat us the way we treat ants.
|
Ver | ||
| 2 |
Machine intelligence makes human morals more important
17:42
|
Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep Tufekci explains how intelligent machines can fail in ways that don't fit human error patterns — and in ways we won't expect or be
|
Ver | ||
| 3 |
This app knows how you feel — from the look on your face
11:05
|
Our emotions influence every aspect of our lives — how we learn, how we communicate, how we make decisions. Yet they’re absent from our digital lives; the devices and apps we interact with have no way of knowing how we feel. Scientist Rana el Kaliouby aims to change that. She demos a powerful new technology that reads your facial expressions and matches them to
|
Ver | ||
| 4 |
Watson, Jeopardy and me, the obsolete know-it-all
17:52
|
Trivia whiz Ken Jennings has made a career as a keeper of facts; he holds the longest winning streak in history on the U.S. game show Jeopardy. But in 2011, he played a challenge match against supercomputer Watson -- and lost. With humor and humility, Jennings tells us how it felt to have a computer literally beat him at his own game, and also makes the case
|
Ver |