Rana el Kaliouby Quotes

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

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.

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

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

The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.

I'd rather see artificial intelligence than no intelligence.

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

Now with our Software Developer Kit (SDK), any developer can embed Emotion AI into the apps, games, devices, and digital experiences they are building, so that these can sense human emotion and adapt. This approach is rapidly driving more ubiquitous use of Emotion AI across a number of different industries.

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 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.

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

We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

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

I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.

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

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.

Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.

My principal professional objective is to introduce intelligence as the ubiquitous utility. I'd like to be the Thomas Edison of intelligence.

Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

Character robotics could plant the seed for robots that actually have empathy. So, if they achieve human level intelligence or, quite possibly, greater than human levels of intelligence, this could be the seeds of hope for our future.

When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.

Note that I am not proposing that AI research be ignored or less funded.

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