[Script Info]
Title: 
[Events]
Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
Dialogue: 0,0:00:00.56,0:00:04.57,Default,,0000,0000,0000,,Our emotions influence\Nevery aspect of our lives,
Dialogue: 0,0:00:04.57,0:00:08.15,Default,,0000,0000,0000,,from our health and how we learn,\Nto how we do business and make decisions,
Dialogue: 0,0:00:08.15,0:00:09.92,Default,,0000,0000,0000,,big ones and small.
Dialogue: 0,0:00:10.67,0:00:14.16,Default,,0000,0000,0000,,Our emotions also influence\Nhow we connect with one another.
Dialogue: 0,0:00:15.13,0:00:19.11,Default,,0000,0000,0000,,We've evolved to live\Nin a world like this,
Dialogue: 0,0:00:19.11,0:00:23.43,Default,,0000,0000,0000,,but instead, we're living\Nmore and more of our lives like this --
Dialogue: 0,0:00:23.43,0:00:26.56,Default,,0000,0000,0000,,this is the text message\Nfrom my daughter last night --
Dialogue: 0,0:00:26.56,0:00:29.30,Default,,0000,0000,0000,,in a world that's devoid of emotion.
Dialogue: 0,0:00:29.30,0:00:31.25,Default,,0000,0000,0000,,So I'm on a mission to change that.
Dialogue: 0,0:00:31.25,0:00:35.34,Default,,0000,0000,0000,,I want to bring emotions\Nback into our digital experiences.
Dialogue: 0,0:00:36.22,0:00:39.30,Default,,0000,0000,0000,,I started on this path 15 years ago.
Dialogue: 0,0:00:39.30,0:00:41.37,Default,,0000,0000,0000,,I was a computer scientist in Egypt,
Dialogue: 0,0:00:41.37,0:00:45.87,Default,,0000,0000,0000,,and I had just gotten accepted to\Na Ph.D. program at Cambridge University.
Dialogue: 0,0:00:45.87,0:00:47.98,Default,,0000,0000,0000,,So I did something quite unusual
Dialogue: 0,0:00:47.98,0:00:52.21,Default,,0000,0000,0000,,for a young newlywed Muslim Egyptian wife:
Dialogue: 0,0:00:53.60,0:00:56.60,Default,,0000,0000,0000,,With the support of my husband,\Nwho had to stay in Egypt,
Dialogue: 0,0:00:56.60,0:00:59.62,Default,,0000,0000,0000,,I packed my bags and I moved to England.
Dialogue: 0,0:00:59.62,0:01:02.84,Default,,0000,0000,0000,,At Cambridge, thousands of miles\Naway from home,
Dialogue: 0,0:01:02.84,0:01:06.26,Default,,0000,0000,0000,,I realized I was spending\Nmore hours with my laptop
Dialogue: 0,0:01:06.26,0:01:08.49,Default,,0000,0000,0000,,than I did with any other human.
Dialogue: 0,0:01:08.49,0:01:13.34,Default,,0000,0000,0000,,Yet despite this intimacy, my laptop\Nhad absolutely no idea how I was feeling.
Dialogue: 0,0:01:13.34,0:01:16.55,Default,,0000,0000,0000,,It had no idea if I was happy,
Dialogue: 0,0:01:16.55,0:01:19.54,Default,,0000,0000,0000,,having a bad day, or stressed, confused,
Dialogue: 0,0:01:19.54,0:01:22.46,Default,,0000,0000,0000,,and so that got frustrating.
Dialogue: 0,0:01:23.60,0:01:28.83,Default,,0000,0000,0000,,Even worse, as I communicated\Nonline with my family back home,
Dialogue: 0,0:01:29.42,0:01:32.70,Default,,0000,0000,0000,,I felt that all my emotions\Ndisappeared in cyberspace.
Dialogue: 0,0:01:32.70,0:01:37.86,Default,,0000,0000,0000,,I was homesick, I was lonely,\Nand on some days I was actually crying,
Dialogue: 0,0:01:37.86,0:01:42.79,Default,,0000,0000,0000,,but all I had to communicate\Nthese emotions was this.
Dialogue: 0,0:01:42.79,0:01:44.81,Default,,0000,0000,0000,,(Laughter)
Dialogue: 0,0:01:44.81,0:01:49.78,Default,,0000,0000,0000,,Today's technology\Nhas lots of I.Q., but no E.Q.;
Dialogue: 0,0:01:49.78,0:01:52.96,Default,,0000,0000,0000,,lots of cognitive intelligence,\Nbut no emotional intelligence.
Dialogue: 0,0:01:52.96,0:01:55.15,Default,,0000,0000,0000,,So that got me thinking,
Dialogue: 0,0:01:55.15,0:01:58.78,Default,,0000,0000,0000,,what if our technology\Ncould sense our emotions?
Dialogue: 0,0:01:58.78,0:02:02.85,Default,,0000,0000,0000,,What if our devices could sense\Nhow we felt and reacted accordingly,
Dialogue: 0,0:02:02.85,0:02:05.87,Default,,0000,0000,0000,,just the way an emotionally\Nintelligent friend would?
Dialogue: 0,0:02:06.67,0:02:10.23,Default,,0000,0000,0000,,Those questions led me and my team
Dialogue: 0,0:02:10.23,0:02:14.61,Default,,0000,0000,0000,,to create technologies that can read\Nand respond to our emotions,
Dialogue: 0,0:02:14.61,0:02:17.70,Default,,0000,0000,0000,,and our starting point was the human face.
Dialogue: 0,0:02:18.58,0:02:21.75,Default,,0000,0000,0000,,So our human face happens to be\None of the most powerful channels
Dialogue: 0,0:02:21.75,0:02:25.77,Default,,0000,0000,0000,,that we all use to communicate\Nsocial and emotional states,
Dialogue: 0,0:02:25.77,0:02:28.78,Default,,0000,0000,0000,,everything from enjoyment, surprise,
Dialogue: 0,0:02:28.78,0:02:32.98,Default,,0000,0000,0000,,empathy and curiosity.
Dialogue: 0,0:02:32.98,0:02:37.91,Default,,0000,0000,0000,,In emotion science, we call each\Nfacial muscle movement an action unit.
Dialogue: 0,0:02:37.91,0:02:40.83,Default,,0000,0000,0000,,So for example, action unit 12,
Dialogue: 0,0:02:40.83,0:02:42.87,Default,,0000,0000,0000,,it's not a Hollywood blockbuster,
Dialogue: 0,0:02:42.87,0:02:46.31,Default,,0000,0000,0000,,it is actually a lip corner pull,\Nwhich is the main component of a smile.
Dialogue: 0,0:02:46.31,0:02:49.30,Default,,0000,0000,0000,,Try it everybody. Let's get\Nsome smiles going on.
Dialogue: 0,0:02:49.30,0:02:51.95,Default,,0000,0000,0000,,Another example is action unit 4.\NIt's the brow furrow.
Dialogue: 0,0:02:51.95,0:02:54.19,Default,,0000,0000,0000,,It's when you draw your eyebrows together
Dialogue: 0,0:02:54.19,0:02:56.46,Default,,0000,0000,0000,,and you create all\Nthese textures and wrinkles.
Dialogue: 0,0:02:56.46,0:03:00.75,Default,,0000,0000,0000,,We don't like them, but it's\Na strong indicator of a negative emotion.
Dialogue: 0,0:03:00.75,0:03:02.96,Default,,0000,0000,0000,,So we have about 45 of these action units,
Dialogue: 0,0:03:02.96,0:03:06.35,Default,,0000,0000,0000,,and they combine to express\Nhundreds of emotions.
Dialogue: 0,0:03:06.35,0:03:10.25,Default,,0000,0000,0000,,Teaching a computer to read\Nthese facial emotions is hard,
Dialogue: 0,0:03:10.25,0:03:13.22,Default,,0000,0000,0000,,because these action units,\Nthey can be fast, they're subtle,
Dialogue: 0,0:03:13.22,0:03:15.78,Default,,0000,0000,0000,,and they combine in many different ways.
Dialogue: 0,0:03:15.78,0:03:19.52,Default,,0000,0000,0000,,So take, for example,\Nthe smile and the smirk.
Dialogue: 0,0:03:19.52,0:03:23.27,Default,,0000,0000,0000,,They look somewhat similar,\Nbut they mean very different things.
Dialogue: 0,0:03:23.27,0:03:24.99,Default,,0000,0000,0000,,(Laughter)
Dialogue: 0,0:03:24.99,0:03:27.99,Default,,0000,0000,0000,,So the smile is positive,
Dialogue: 0,0:03:27.99,0:03:29.26,Default,,0000,0000,0000,,a smirk is often negative.
Dialogue: 0,0:03:29.26,0:03:33.14,Default,,0000,0000,0000,,Sometimes a smirk\Ncan make you become famous.
Dialogue: 0,0:03:33.14,0:03:35.96,Default,,0000,0000,0000,,But seriously, it's important\Nfor a computer to be able
Dialogue: 0,0:03:35.96,0:03:38.82,Default,,0000,0000,0000,,to tell the difference\Nbetween the two expressions.
Dialogue: 0,0:03:38.82,0:03:40.63,Default,,0000,0000,0000,,So how do we do that?
Dialogue: 0,0:03:40.63,0:03:42.41,Default,,0000,0000,0000,,We give our algorithms
Dialogue: 0,0:03:42.41,0:03:46.52,Default,,0000,0000,0000,,tens of thousands of examples\Nof people we know to be smiling,
Dialogue: 0,0:03:46.52,0:03:49.59,Default,,0000,0000,0000,,from different ethnicities, ages, genders,
Dialogue: 0,0:03:49.59,0:03:52.40,Default,,0000,0000,0000,,and we do the same for smirks.
Dialogue: 0,0:03:52.40,0:03:53.95,Default,,0000,0000,0000,,And then, using deep learning,
Dialogue: 0,0:03:53.95,0:03:56.81,Default,,0000,0000,0000,,the algorithm looks for all these\Ntextures and wrinkles
Dialogue: 0,0:03:56.81,0:03:59.39,Default,,0000,0000,0000,,and shape changes on our face,
Dialogue: 0,0:03:59.39,0:04:02.59,Default,,0000,0000,0000,,and basically learns that all smiles\Nhave common characteristics,
Dialogue: 0,0:04:02.59,0:04:05.77,Default,,0000,0000,0000,,all smirks have subtly\Ndifferent characteristics.
Dialogue: 0,0:04:05.77,0:04:08.14,Default,,0000,0000,0000,,And the next time it sees a new face,
Dialogue: 0,0:04:08.14,0:04:10.44,Default,,0000,0000,0000,,it essentially learns that
Dialogue: 0,0:04:10.44,0:04:13.47,Default,,0000,0000,0000,,this face has the same\Ncharacteristics of a smile,
Dialogue: 0,0:04:13.47,0:04:17.75,Default,,0000,0000,0000,,and it says, "Aha, I recognize this.\NThis is a smile expression."
Dialogue: 0,0:04:18.38,0:04:21.18,Default,,0000,0000,0000,,So the best way to demonstrate\Nhow this technology works
Dialogue: 0,0:04:21.18,0:04:23.32,Default,,0000,0000,0000,,is to try a live demo,
Dialogue: 0,0:04:23.32,0:04:27.23,Default,,0000,0000,0000,,so I need a volunteer,\Npreferably somebody with a face.
Dialogue: 0,0:04:27.23,0:04:29.56,Default,,0000,0000,0000,,(Laughter)
Dialogue: 0,0:04:29.56,0:04:32.34,Default,,0000,0000,0000,,Cloe's going to be our volunteer today.
Dialogue: 0,0:04:33.32,0:04:37.78,Default,,0000,0000,0000,,So over the past five years, we've moved\Nfrom being a research project at MIT
Dialogue: 0,0:04:37.78,0:04:38.94,Default,,0000,0000,0000,,to a company,
Dialogue: 0,0:04:38.94,0:04:42.13,Default,,0000,0000,0000,,where my team has worked really hard\Nto make this technology work,
Dialogue: 0,0:04:42.13,0:04:44.54,Default,,0000,0000,0000,,as we like to say, in the wild.
Dialogue: 0,0:04:44.54,0:04:47.21,Default,,0000,0000,0000,,And we've also shrunk it so that\Nthe core emotion engine
Dialogue: 0,0:04:47.21,0:04:50.53,Default,,0000,0000,0000,,works on any mobile device\Nwith a camera, like this iPad.
Dialogue: 0,0:04:50.53,0:04:53.32,Default,,0000,0000,0000,,So let's give this a try.
Dialogue: 0,0:04:54.76,0:04:58.68,Default,,0000,0000,0000,,As you can see, the algorithm\Nhas essentially found Cloe's face,
Dialogue: 0,0:04:58.68,0:05:00.37,Default,,0000,0000,0000,,so it's this white bounding box,
Dialogue: 0,0:05:00.37,0:05:02.94,Default,,0000,0000,0000,,and it's tracking the main\Nfeature points on her face,
Dialogue: 0,0:05:02.94,0:05:05.80,Default,,0000,0000,0000,,so her eyebrows, her eyes,\Nher mouth and her nose.
Dialogue: 0,0:05:05.80,0:05:08.79,Default,,0000,0000,0000,,The question is,\Ncan it recognize her expression?
Dialogue: 0,0:05:08.79,0:05:10.46,Default,,0000,0000,0000,,So we're going to test the machine.
Dialogue: 0,0:05:10.46,0:05:14.64,Default,,0000,0000,0000,,So first of all, give me your poker face.\NYep, awesome. (Laughter)
Dialogue: 0,0:05:14.64,0:05:17.46,Default,,0000,0000,0000,,And then as she smiles,\Nthis is a genuine smile, it's great.
Dialogue: 0,0:05:17.46,0:05:19.76,Default,,0000,0000,0000,,So you can see the green bar\Ngo up as she smiles.
Dialogue: 0,0:05:19.76,0:05:20.98,Default,,0000,0000,0000,,Now that was a big smile.
Dialogue: 0,0:05:20.98,0:05:24.02,Default,,0000,0000,0000,,Can you try a subtle smile\Nto see if the computer can recognize?
Dialogue: 0,0:05:24.02,0:05:26.35,Default,,0000,0000,0000,,It does recognize subtle smiles as well.
Dialogue: 0,0:05:26.35,0:05:28.48,Default,,0000,0000,0000,,We've worked really hard\Nto make that happen.
Dialogue: 0,0:05:28.48,0:05:31.44,Default,,0000,0000,0000,,And then eyebrow raised,\Nindicator of surprise.
Dialogue: 0,0:05:31.44,0:05:35.69,Default,,0000,0000,0000,,Brow furrow, which is\Nan indicator of confusion.
Dialogue: 0,0:05:35.69,0:05:39.70,Default,,0000,0000,0000,,Frown. Yes, perfect.
Dialogue: 0,0:05:39.70,0:05:43.19,Default,,0000,0000,0000,,So these are all the different\Naction units. There's many more of them.
Dialogue: 0,0:05:43.19,0:05:45.22,Default,,0000,0000,0000,,This is just a slimmed-down demo.
Dialogue: 0,0:05:45.22,0:05:48.37,Default,,0000,0000,0000,,But we call each reading\Nan emotion data point,
Dialogue: 0,0:05:48.37,0:05:51.34,Default,,0000,0000,0000,,and then they can fire together\Nto portray different emotions.
Dialogue: 0,0:05:51.34,0:05:55.99,Default,,0000,0000,0000,,So on the right side of the demo --\Nlook like you're happy.
Dialogue: 0,0:05:55.99,0:05:57.44,Default,,0000,0000,0000,,So that's joy. Joy fires up.
Dialogue: 0,0:05:57.44,0:05:59.37,Default,,0000,0000,0000,,And then give me a disgust face.
Dialogue: 0,0:05:59.37,0:06:03.64,Default,,0000,0000,0000,,Try to remember what it was like\Nwhen Zayn left One Direction.
Dialogue: 0,0:06:03.64,0:06:05.15,Default,,0000,0000,0000,,(Laughter)
Dialogue: 0,0:06:05.15,0:06:09.50,Default,,0000,0000,0000,,Yeah, wrinkle your nose. Awesome.
Dialogue: 0,0:06:09.50,0:06:13.23,Default,,0000,0000,0000,,And the valence is actually quite\Nnegative, so you must have been a big fan.
Dialogue: 0,0:06:13.23,0:06:15.93,Default,,0000,0000,0000,,So valence is how positive\Nor negative an experience is,
Dialogue: 0,0:06:15.93,0:06:18.71,Default,,0000,0000,0000,,and engagement is how\Nexpressive she is as well.
Dialogue: 0,0:06:18.71,0:06:22.13,Default,,0000,0000,0000,,So imagine if Cloe had access\Nto this real-time emotion stream,
Dialogue: 0,0:06:22.13,0:06:24.94,Default,,0000,0000,0000,,and she could share it\Nwith anybody she wanted to.
Dialogue: 0,0:06:24.94,0:06:27.86,Default,,0000,0000,0000,,Thank you.
Dialogue: 0,0:06:27.86,0:06:32.48,Default,,0000,0000,0000,,(Applause)
Dialogue: 0,0:06:33.75,0:06:39.02,Default,,0000,0000,0000,,So, so far, we have amassed\N12 billion of these emotion data points.
Dialogue: 0,0:06:39.02,0:06:41.63,Default,,0000,0000,0000,,It's the largest emotion\Ndatabase in the world.
Dialogue: 0,0:06:41.63,0:06:44.59,Default,,0000,0000,0000,,We've collected it\Nfrom 2.9 million face videos,
Dialogue: 0,0:06:44.59,0:06:47.19,Default,,0000,0000,0000,,people who have agreed\Nto share their emotions with us,
Dialogue: 0,0:06:47.19,0:06:50.40,Default,,0000,0000,0000,,and from 75 countries around the world.
Dialogue: 0,0:06:50.40,0:06:52.11,Default,,0000,0000,0000,,It's growing every day.
Dialogue: 0,0:06:52.60,0:06:54.67,Default,,0000,0000,0000,,It blows my mind away
Dialogue: 0,0:06:54.67,0:06:57.86,Default,,0000,0000,0000,,that we can now quantify something\Nas personal as our emotions,
Dialogue: 0,0:06:57.86,0:07:00.10,Default,,0000,0000,0000,,and we can do it at this scale.
Dialogue: 0,0:07:00.10,0:07:02.28,Default,,0000,0000,0000,,So what have we learned to date?
Dialogue: 0,0:07:03.06,0:07:05.39,Default,,0000,0000,0000,,Gender.
Dialogue: 0,0:07:05.39,0:07:09.03,Default,,0000,0000,0000,,Our data confirms something\Nthat you might suspect.
Dialogue: 0,0:07:09.03,0:07:10.89,Default,,0000,0000,0000,,Women are more expressive than men.
Dialogue: 0,0:07:10.89,0:07:13.57,Default,,0000,0000,0000,,Not only do they smile more,\Ntheir smiles last longer,
Dialogue: 0,0:07:13.57,0:07:16.48,Default,,0000,0000,0000,,and we can now really quantify\Nwhat it is that men and women
Dialogue: 0,0:07:16.48,0:07:18.61,Default,,0000,0000,0000,,respond to differently.
Dialogue: 0,0:07:18.61,0:07:20.90,Default,,0000,0000,0000,,Let's do culture: So in the United States,
Dialogue: 0,0:07:20.90,0:07:24.11,Default,,0000,0000,0000,,women are 40 percent\Nmore expressive than men,
Dialogue: 0,0:07:24.11,0:07:27.75,Default,,0000,0000,0000,,but curiously, we don't see any difference\Nin the U.K. between men and women.
Dialogue: 0,0:07:27.75,0:07:30.26,Default,,0000,0000,0000,,(Laughter)
Dialogue: 0,0:07:31.30,0:07:35.32,Default,,0000,0000,0000,,Age: People who are 50 years and older
Dialogue: 0,0:07:35.32,0:07:38.76,Default,,0000,0000,0000,,are 25 percent more emotive\Nthan younger people.
Dialogue: 0,0:07:39.90,0:07:43.75,Default,,0000,0000,0000,,Women in their 20s smile a lot more\Nthan men the same age,
Dialogue: 0,0:07:43.75,0:07:47.59,Default,,0000,0000,0000,,perhaps a necessity for dating.
Dialogue: 0,0:07:47.59,0:07:50.21,Default,,0000,0000,0000,,But perhaps what surprised us\Nthe most about this data
Dialogue: 0,0:07:50.21,0:07:53.41,Default,,0000,0000,0000,,is that we happen\Nto be expressive all the time,
Dialogue: 0,0:07:53.41,0:07:56.24,Default,,0000,0000,0000,,even when we are sitting\Nin front of our devices alone,
Dialogue: 0,0:07:56.24,0:07:59.52,Default,,0000,0000,0000,,and it's not just when we're watching\Ncat videos on Facebook.
Dialogue: 0,0:08:00.22,0:08:03.23,Default,,0000,0000,0000,,We are expressive when we're emailing,\Ntexting, shopping online,
Dialogue: 0,0:08:03.23,0:08:05.53,Default,,0000,0000,0000,,or even doing our taxes.
Dialogue: 0,0:08:05.53,0:08:07.92,Default,,0000,0000,0000,,Where is this data used today?
Dialogue: 0,0:08:07.92,0:08:10.68,Default,,0000,0000,0000,,In understanding how we engage with media,
Dialogue: 0,0:08:10.68,0:08:13.17,Default,,0000,0000,0000,,so understanding virality\Nand voting behavior;
Dialogue: 0,0:08:13.17,0:08:15.91,Default,,0000,0000,0000,,and also empowering\Nor emotion-enabling technology,
Dialogue: 0,0:08:15.91,0:08:20.53,Default,,0000,0000,0000,,and I want to share some examples\Nthat are especially close to my heart.
Dialogue: 0,0:08:21.20,0:08:24.26,Default,,0000,0000,0000,,Emotion-enabled wearable glasses\Ncan help individuals
Dialogue: 0,0:08:24.26,0:08:27.49,Default,,0000,0000,0000,,who are visually impaired\Nread the faces of others,
Dialogue: 0,0:08:27.49,0:08:31.68,Default,,0000,0000,0000,,and it can help individuals\Non the autism spectrum interpret emotion,
Dialogue: 0,0:08:31.68,0:08:34.46,Default,,0000,0000,0000,,something that they really struggle with.
Dialogue: 0,0:08:35.92,0:08:38.78,Default,,0000,0000,0000,,In education, imagine\Nif your learning apps
Dialogue: 0,0:08:38.78,0:08:41.59,Default,,0000,0000,0000,,sense that you're confused and slow down,
Dialogue: 0,0:08:41.59,0:08:43.44,Default,,0000,0000,0000,,or that you're bored, so it's sped up,
Dialogue: 0,0:08:43.44,0:08:46.41,Default,,0000,0000,0000,,just like a great teacher\Nwould in a classroom.
Dialogue: 0,0:08:47.04,0:08:49.64,Default,,0000,0000,0000,,What if your wristwatch tracked your mood,
Dialogue: 0,0:08:49.64,0:08:52.34,Default,,0000,0000,0000,,or your car sensed that you're tired,
Dialogue: 0,0:08:52.34,0:08:54.88,Default,,0000,0000,0000,,or perhaps your fridge\Nknows that you're stressed,
Dialogue: 0,0:08:54.88,0:09:00.95,Default,,0000,0000,0000,,so it auto-locks to prevent you\Nfrom binge eating. (Laughter)
Dialogue: 0,0:09:00.95,0:09:03.67,Default,,0000,0000,0000,,I would like that, yeah.
Dialogue: 0,0:09:03.67,0:09:05.60,Default,,0000,0000,0000,,What if, when I was in Cambridge,
Dialogue: 0,0:09:05.60,0:09:07.91,Default,,0000,0000,0000,,I had access to my real-time\Nemotion stream,
Dialogue: 0,0:09:07.91,0:09:11.44,Default,,0000,0000,0000,,and I could share that with my family\Nback home in a very natural way,
Dialogue: 0,0:09:11.44,0:09:15.41,Default,,0000,0000,0000,,just like I would've if we were all\Nin the same room together?
Dialogue: 0,0:09:15.41,0:09:18.55,Default,,0000,0000,0000,,I think five years down the line,
Dialogue: 0,0:09:18.55,0:09:20.89,Default,,0000,0000,0000,,all our devices are going\Nto have an emotion chip,
Dialogue: 0,0:09:20.89,0:09:24.95,Default,,0000,0000,0000,,and we won't remember what it was like\Nwhen we couldn't just frown at our device
Dialogue: 0,0:09:24.95,0:09:29.20,Default,,0000,0000,0000,,and our device would say, "Hmm,\Nyou didn't like that, did you?"
Dialogue: 0,0:09:29.20,0:09:32.96,Default,,0000,0000,0000,,Our biggest challenge is that there are\Nso many applications of this technology,
Dialogue: 0,0:09:32.96,0:09:35.86,Default,,0000,0000,0000,,my team and I realize that we can't\Nbuild them all ourselves,
Dialogue: 0,0:09:35.86,0:09:39.36,Default,,0000,0000,0000,,so we've made this technology available\Nso that other developers
Dialogue: 0,0:09:39.36,0:09:41.47,Default,,0000,0000,0000,,can get building and get creative.
Dialogue: 0,0:09:41.47,0:09:45.56,Default,,0000,0000,0000,,We recognize that\Nthere are potential risks
Dialogue: 0,0:09:45.56,0:09:47.63,Default,,0000,0000,0000,,and potential for abuse,
Dialogue: 0,0:09:47.63,0:09:50.58,Default,,0000,0000,0000,,but personally, having spent\Nmany years doing this,
Dialogue: 0,0:09:50.58,0:09:53.55,Default,,0000,0000,0000,,I believe that the benefits to humanity
Dialogue: 0,0:09:53.55,0:09:55.82,Default,,0000,0000,0000,,from having emotionally\Nintelligent technology
Dialogue: 0,0:09:55.82,0:09:59.40,Default,,0000,0000,0000,,far outweigh the potential for misuse.
Dialogue: 0,0:09:59.40,0:10:01.93,Default,,0000,0000,0000,,And I invite you all to be\Npart of the conversation.
Dialogue: 0,0:10:01.93,0:10:04.48,Default,,0000,0000,0000,,The more people who know\Nabout this technology,
Dialogue: 0,0:10:04.48,0:10:07.66,Default,,0000,0000,0000,,the more we can all have a voice\Nin how it's being used.
Dialogue: 0,0:10:09.08,0:10:13.66,Default,,0000,0000,0000,,So as more and more\Nof our lives become digital,
Dialogue: 0,0:10:13.66,0:10:17.15,Default,,0000,0000,0000,,we are fighting a losing battle\Ntrying to curb our usage of devices
Dialogue: 0,0:10:17.15,0:10:19.38,Default,,0000,0000,0000,,in order to reclaim our emotions.
Dialogue: 0,0:10:20.62,0:10:24.54,Default,,0000,0000,0000,,So what I'm trying to do instead\Nis to bring emotions into our technology
Dialogue: 0,0:10:24.54,0:10:26.76,Default,,0000,0000,0000,,and make our technologies more responsive.
Dialogue: 0,0:10:26.76,0:10:29.44,Default,,0000,0000,0000,,So I want those devices\Nthat have separated us
Dialogue: 0,0:10:29.44,0:10:31.90,Default,,0000,0000,0000,,to bring us back together.
Dialogue: 0,0:10:31.90,0:10:36.48,Default,,0000,0000,0000,,And by humanizing technology,\Nwe have this golden opportunity
Dialogue: 0,0:10:36.48,0:10:39.78,Default,,0000,0000,0000,,to reimagine how we\Nconnect with machines,
Dialogue: 0,0:10:39.78,0:10:44.26,Default,,0000,0000,0000,,and therefore, how we, as human beings,
Dialogue: 0,0:10:44.26,0:10:46.17,Default,,0000,0000,0000,,connect with one another.
Dialogue: 0,0:10:46.17,0:10:48.33,Default,,0000,0000,0000,,Thank you.
Dialogue: 0,0:10:48.33,0:10:51.64,Default,,0000,0000,0000,,(Applause)