Rana el Kaliouby Quotes

I spent many, many hours with my computer, and it really bugged me that it was very oblivious to my emotional state. And that kind of inspired and motivated me to build an emotionally intelligent computer.

Our aim is to develop affectionate robots that can make people smile.

I remember, once I was stressed, with an upcoming paper deadline. That little Microsoft Word clippy guy would show up in my face, jumping around and asking if I needed help. It had no understanding of my emotions and had zero empathy. That got me interested in this idea of tech being responsive to our emotions.

We believe that one day Emotion AI will be ubiquitous, embedded on chips in our devices, ingrained into technology we use every day at home and at work.

You won't remember what it was like when your technology didn't recognize when you are sad or angry.

I think, in the future, we'll assume that every device just knows how to read your emotions.

My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.

Emotion AI uses massive amounts of data. In fact, Affectiva has built the world's largest emotion data repository.

With Emotion AI, we can inject humanity back into our connections, enabling not only our devices to better understand us, but fostering a stronger connection between us as individuals.

By 2029, computers will have emotional intelligence and be convincing as people.

Emotion AI will be ingrained in the technologies we use every day, running in the background, making our tech interactions more personalized, relevant, authentic, and interactive.

I am often asked what the future holds for Emotion AI, and my answer is simple: it will be ubiquitous, engrained in the technologies we use every day, running in the background, making our tech interactions more personalized, relevant, authentic and interactive.

Google created the intent graph. Facebook created the social graph. We are creating the emotional graph.

Computers are good at following instructions, but not at reading your mind.

The sad thing about artificial intelligence is that it lacks artifice and therefore intelligence.

I've come to a view that humans will continue to do what we do well, and that computers will continue to do what they do very well, and the two will coexist, but in different spaces.

I've always been interested in technology, but specifically how we can use machines to engage the imagination. I started using computers when I was young and was fascinated by creating rules and instructions that allow a computer to engage in a dialogue with humans. The stories found in the data all around us can do just that.

A computer would deserve to be called intelligent if it could deceive a human into believing that it was human.

What's casual for a robot isn't necessarily what's casual for a human.

I'm working on artificial intelligence. Actually, natural language understanding, which is to get computers to understand the meaning of documents.

As far as what is the line between human and machine? That's a great question.

If you want a machine to be able to interact with people, it better not do things that are surprising to people.

Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.

We've seen computers play chess and beat grand masters. We've seen computers drive a car across a desert. But interestingly, playing chess is easy, but having a conversation about nothing is really difficult for a computer.

Robots have gotten steadily more capable, but humans' expectations that robots should have minds keeps biting robot developers.