WEBVTT 00:00:02.043 --> 00:00:03.930 This is Henry, 00:00:03.930 --> 00:00:05.328 a cute boy, 00:00:05.328 --> 00:00:07.834 and when Henry was three, 00:00:07.834 --> 00:00:13.387 his mom found him having some febrile seizures. 00:00:13.575 --> 00:00:13.958 Febrile seizures are seizures that occur 00:00:13.958 --> 00:00:18.253 when you also have a fever, 00:00:18.253 --> 00:00:20.980 and the doctor said, 00:00:20.980 --> 00:00:23.746 "Don't worry too much. Kids usually outgrow these." 00:00:23.746 --> 00:00:26.144 When he was four, 00:00:26.144 --> 00:00:27.838 he had a convulsive seizure, 00:00:27.838 --> 00:00:30.909 the kind that you lose consciousness 00:00:30.909 --> 00:00:31.740 and shake, 00:00:31.740 --> 00:00:33.957 generalized tonic-clonic seizure, 00:00:33.957 --> 00:00:38.456 and while the diagnosis of epilepsy 00:00:38.456 --> 00:00:41.672 was in the mail, 00:00:41.672 --> 00:00:45.141 Henry's mom went to get him out of bed one morning, 00:00:45.525 --> 00:00:48.939 and as she went in his room, 00:00:48.939 --> 00:00:52.039 she found his cold, lifeless body. NOTE Paragraph 00:00:52.039 --> 00:00:58.302 Henry died of SUDEP, 00:00:58.302 --> 00:01:01.867 Sudden Unexpected Death in Epilepsy. 00:01:01.867 --> 00:01:05.446 I'm curious how many of you have heard of SUDEP? 00:01:05.796 --> 00:01:10.233 This is a very well-educated audience, and I see only a few hands. 00:01:10.233 --> 00:01:14.113 SUDEP is when an otherwise healthy person with epilepsy 00:01:14.113 --> 00:01:18.113 dies and they can't attribute it to anything they can find in an autopsy. 00:01:20.322 --> 00:01:24.434 There is a SUDEP every seven to nine minutes. 00:01:24.434 --> 00:01:27.313 That's on average two per TED Talk. 00:01:31.651 --> 00:01:33.315 Now, a normal brain 00:01:33.315 --> 00:01:35.392 has electrical activity. 00:01:35.392 --> 00:01:38.170 You can see some of the electrical waves 00:01:38.170 --> 00:01:40.792 coming out of this picture of a brain here. 00:01:40.792 --> 00:01:44.408 And these should look like typical electrical activity 00:01:44.408 --> 00:01:46.465 that an EEG could read on the surface. 00:01:46.465 --> 00:01:48.255 When you have a seizure, 00:01:48.255 --> 00:01:50.951 it's a bit of unusual electrical activity, 00:01:50.951 --> 00:01:52.772 and it can be focal. 00:01:52.772 --> 00:01:54.863 It can take place in just a small part of your brain. 00:01:54.863 --> 00:01:56.463 When that happens, 00:01:56.463 --> 00:01:58.385 you might have a strange sensation. 00:01:58.385 --> 00:02:01.160 One could be happening, several could be happening 00:02:01.160 --> 00:02:02.511 here in the audience right now 00:02:02.511 --> 00:02:04.323 and the person next to you might not even know. 00:02:04.323 --> 00:02:08.082 However, if you have a seizure where that little brush fire 00:02:08.082 --> 00:02:10.359 spreads like a forest fire over the brain, 00:02:10.359 --> 00:02:12.059 then it generalizes, 00:02:12.059 --> 00:02:14.317 and that generalized seizure 00:02:14.317 --> 00:02:16.581 takes your consciousness away 00:02:16.581 --> 00:02:18.968 and causes you to convulse. NOTE Paragraph 00:02:18.968 --> 00:02:22.947 There are more SUDEPs in the United States every year 00:02:22.947 --> 00:02:25.622 than Sudden Infant Death Syndrome. 00:02:25.622 --> 00:02:29.464 Now, how many of you have heard of Sudden Infant Death Syndrome. 00:02:29.464 --> 00:02:31.544 Right? Pretty much every hand goes up. 00:02:31.544 --> 00:02:33.566 So what's going on here? 00:02:33.566 --> 00:02:38.405 Why is this so much more common and yet people haven't heard of it? 00:02:38.609 --> 00:02:40.934 And what can you do to prevent it? 00:02:40.934 --> 00:02:44.500 Well, there are two things scientifically shown 00:02:44.500 --> 00:02:47.355 that prevent or reduce the risk of SUDEP. 00:02:47.355 --> 00:02:49.863 The first is follow your doctor's instructions, 00:02:49.863 --> 00:02:51.306 take your medications. 00:02:51.306 --> 00:02:53.619 Two thirds of people who have epilepsy 00:02:53.619 --> 00:02:55.738 get it under control with their medications. 00:02:56.088 --> 00:03:00.283 the second thing that reduces the risk of SUDEP is companionship. 00:03:00.283 --> 00:03:05.001 It's having somebody there at the time that you have a seizure. 00:03:05.001 --> 00:03:09.270 Now, SUDEP, even though most of you have never heard of it, 00:03:09.270 --> 00:03:13.197 is actually the number two cause of years of potential life lost 00:03:13.197 --> 00:03:17.159 of all neurological disorders. 00:03:17.159 --> 00:03:25.128 The vertical axis is the number of deaths times the remaining lifespan, 00:03:25.351 --> 00:03:28.814 so higher is much worse impact. 00:03:28.814 --> 00:03:31.760 SUDEP, however, unlike these others 00:03:31.760 --> 00:03:37.476 is something that people right here could do something to push that down. NOTE Paragraph 00:03:37.964 --> 00:03:45.185 Now, what is Ros Picard, an AI researcher, doing here telling you about SUDEP? Right? 00:03:45.185 --> 00:03:47.587 I'm not a neurologist. 00:03:47.587 --> 00:03:50.349 When I was working at the Media Lab 00:03:50.349 --> 00:03:51.927 on measurement of emotion, 00:03:51.927 --> 00:03:55.072 trying to make our machines more intelligent about our emotions, 00:03:55.072 --> 00:03:58.011 we started doing a lot of work measuring stress. 00:03:58.011 --> 00:04:00.704 We built lots of sensors 00:04:00.704 --> 00:04:03.817 that measured it in lots of different ways. 00:04:03.817 --> 00:04:06.161 But one of them in particular 00:04:06.161 --> 00:04:10.549 grew out of some of this very old work with measuring sweaty palms 00:04:10.549 --> 00:04:12.121 with an electrical signal. 00:04:12.121 --> 00:04:14.655 This is a signal of skin conductance that's known to go up 00:04:14.655 --> 00:04:17.229 when you get nervous, 00:04:17.229 --> 00:04:19.380 but it turns out it also goes up with a lot of other interesting conditions. 00:04:19.380 --> 00:04:22.153 But measuring it with wires on your hand is really inconvenient. 00:04:22.153 --> 00:04:26.284 So we invented a bunch of other ways of doing this at the MIT Media Lab, 00:04:26.284 --> 00:04:28.588 And with these wearables, 00:04:28.588 --> 00:04:33.417 we started to collect the first ever clinical quality data 24/7. 00:04:33.417 --> 00:04:38.705 Here's a picture of what that looked like the first time that an MIT student 00:04:38.705 --> 00:04:43.025 collected skin conductance on the wrist 24/7. 00:04:43.025 --> 00:04:45.696 Let's zoom in a little bit here. 00:04:45.696 --> 00:04:48.998 What you see is 24 hours from left to right, 00:04:48.998 --> 00:04:50.593 and here is two days of data, 00:04:50.593 --> 00:04:53.515 and first what's surprised us 00:04:53.515 --> 00:04:56.885 was the sleep was the biggest peak of the day. 00:04:56.885 --> 00:04:58.659 Now, that sound broken. Right? 00:04:58.659 --> 00:05:01.182 You're calm when you're asleep, so what's going on here? NOTE Paragraph 00:05:01.182 --> 00:05:05.616 Well, it turns out that our physiology during sleep 00:05:05.616 --> 00:05:08.342 is very different than our physiology during wake, 00:05:08.342 --> 00:05:11.855 and while there's still a bit of a mystery why these peaks are usually 00:05:11.855 --> 00:05:13.981 the biggest of the day during sleep, 00:05:13.981 --> 00:05:17.255 we now believe they're related to memory consolidation 00:05:17.255 --> 00:05:19.882 and memory formation during sleep. NOTE Paragraph 00:05:20.135 --> 00:05:23.386 We also saw things that were exactly what we expected. 00:05:23.386 --> 00:05:26.426 When an MIT student is working hard in the lab 00:05:26.426 --> 00:05:28.117 or on homeworks, 00:05:28.117 --> 00:05:31.925 there is not only emotional stress, but there's cognitive load, 00:05:32.088 --> 00:05:36.973 and it turns out that cognitive load, cognitive effort, mental engagement, 00:05:36.973 --> 00:05:39.120 excitement about learning something, 00:05:39.120 --> 00:05:41.595 those things also make the signal go up. NOTE Paragraph 00:05:42.818 --> 00:05:47.031 Unfortunately, to the embarrassment of the MIT professors, 00:05:47.031 --> 00:05:52.070 the low point every day is classroom activity. 00:05:53.050 --> 00:05:55.191 Now, I am just showing you one person's data here, 00:05:55.191 --> 00:05:58.755 but this unfortunately is true in general. NOTE Paragraph 00:06:00.712 --> 00:06:05.117 This sweatband has inside it a home-built skin conductance sensor, 00:06:05.117 --> 00:06:09.137 and one day, one of our undergrads knocked on my door 00:06:09.137 --> 00:06:13.093 right at the end of the December semester, 00:06:13.093 --> 00:06:15.621 and he said, "Professor Picard, 00:06:15.621 --> 00:06:17.850 can I please borrow one of your wrist band sensors? 00:06:17.850 --> 00:06:20.151 My little brother has autism, 00:06:20.151 --> 00:06:21.386 he can't talk, 00:06:21.386 --> 00:06:24.497 and I want to see what's stressing him out." 00:06:24.770 --> 00:06:27.493 And I said, "Sure, in fact, don't just take one, take two," 00:06:27.493 --> 00:06:30.280 because they broke easily back then. 00:06:30.280 --> 00:06:32.534 So he took them home, he put them on his little brother. 00:06:32.534 --> 00:06:36.209 Now, I was back in MIT looking at the data on my laptop, 00:06:36.209 --> 00:06:38.775 and the first day, I thought, hmm, that's odd, 00:06:38.775 --> 00:06:41.852 he put them on both wrists instead of waiting for one to break. 00:06:42.014 --> 00:06:44.453 OK, fine, don't follow my instructions. 00:06:44.453 --> 00:06:46.195 I'm glad he didn't. 00:06:46.195 --> 00:06:50.157 Second day, chill, looked like classroom activity. 00:06:50.741 --> 00:06:53.644 A few more days ahead. 00:06:53.644 --> 00:06:58.182 The next day, one missed signal was flat 00:06:58.182 --> 00:07:02.140 and the other had the biggest peak I've ever seen, 00:07:02.736 --> 00:07:05.078 and I thought, what's going on? 00:07:05.078 --> 00:07:08.562 We've stressed people out at MIT every way imaginable. 00:07:08.562 --> 00:07:12.254 I've never seen a peak this big. 00:07:12.254 --> 00:07:14.732 And it was only on one side. 00:07:14.732 --> 00:07:17.483 How can you be stressed on one side of your body and not the other? 00:07:17.483 --> 00:07:20.950 So I thought one or both sensors must be broken. 00:07:21.473 --> 00:07:23.840 Now, I'm an electro engineer by training, 00:07:23.840 --> 00:07:26.184 so I started a whole bunch of stuff to try to debug this, 00:07:26.184 --> 00:07:28.110 and long story short, I could not reproduce this. NOTE Paragraph 00:07:28.110 --> 00:07:32.259 So I resorted to old-fashioned debugging. 00:07:32.259 --> 00:07:35.522 I called the student at home on vacation. NOTE Paragraph 00:07:35.748 --> 00:07:39.932 "Hi, how's your little brother? How's your Christmas? 00:07:39.932 --> 00:07:43.150 Hey, do you have any idea what happened to him?" 00:07:43.150 --> 00:07:45.316 And I gave this particular date and time, 00:07:45.316 --> 00:07:46.698 and the data. NOTE Paragraph 00:07:46.698 --> 00:07:50.019 And he said, "I don't know, I'll check the diary." NOTE Paragraph 00:07:50.019 --> 00:07:54.022 Diary? MIT student keeps a diary? 00:07:54.022 --> 00:07:55.865 So I waited and he came back. 00:07:55.865 --> 00:07:57.428 He had the exact date and time, 00:07:57.428 --> 00:08:01.281 and he says, "That was right before he had a grand mal seizure." NOTE Paragraph 00:08:02.188 --> 00:08:06.312 Now, at the time, I didn't know anything about epilepsy, 00:08:06.312 --> 00:08:08.851 and did a bunch of research, 00:08:08.851 --> 00:08:11.767 realized that another student's dad is chief of neurosurgery 00:08:11.767 --> 00:08:13.781 at Children's Hospital Boston, 00:08:13.781 --> 00:08:16.139 screwed up my courage and called Dr. Joe Madsen. NOTE Paragraph 00:08:16.139 --> 00:08:18.876 "Hi, Dr. Madsen, my name's Rosalind Picard. 00:08:18.876 --> 00:08:23.075 Is it possible somebody could have 00:08:23.075 --> 00:08:27.065 a huge sympathetic nervous system surge" -- 00:08:27.065 --> 00:08:29.406 that's what drives the skin conductance -- 00:08:29.406 --> 00:08:32.158 "20 minutes before a seizure?" NOTE Paragraph 00:08:32.158 --> 00:08:34.865 And he says, "Probably not." 00:08:34.865 --> 00:08:37.073 He says, "It's interesting. 00:08:37.073 --> 00:08:40.060 We've had people whose hair stands on end on one arm 00:08:40.060 --> 00:08:42.491 20 minutes before a seizure." 00:08:42.491 --> 00:08:44.439 And I'm like, "On one arm?" 00:08:44.439 --> 00:08:46.793 I didn't want to tell him that initially 00:08:46.793 --> 00:08:49.375 because I thought this was too ridiculous. 00:08:49.375 --> 00:08:51.284 He explained how this could happen in the brain, 00:08:51.284 --> 00:08:53.720 and he got interested. I showed him the data. 00:08:53.720 --> 00:08:56.092 We made a whole bunch more devices, got them safety certified, 00:08:56.092 --> 00:08:58.390 90 families were being enrolled in a study 00:08:58.390 --> 00:09:01.890 all with children who were going to be monitored 24/7 00:09:01.890 --> 00:09:05.403 with gold standard EEG on their scalp 00:09:05.403 --> 00:09:06.885 for reading the brain activity, 00:09:06.885 --> 00:09:08.814 video to watch the behavior, 00:09:08.814 --> 00:09:12.656 electrocardiogram ECG, and now EDA, electrodermal activity, 00:09:12.656 --> 00:09:15.015 to see if there was something in this periphery 00:09:15.015 --> 00:09:17.711 that we could easily pick up related to a seizure. NOTE Paragraph 00:09:18.363 --> 00:09:24.968 We found in 100 percent of the first batch of grand mal seizures 00:09:24.968 --> 00:09:28.625 these whopper of responses in the skin conductance. 00:09:28.625 --> 00:09:30.652 The blue in the middle, the boy's sleep, 00:09:30.652 --> 00:09:32.648 is usually the biggest peak of the day. 00:09:32.648 --> 00:09:36.161 These three seizures you see here are popping out of the forest 00:09:36.161 --> 00:09:38.783 like redwood trees. 00:09:39.238 --> 00:09:43.142 Furthermore, when you couple these skin conductance at the top 00:09:43.142 --> 00:09:46.481 with the movement from the wrist 00:09:46.481 --> 00:09:51.448 and you get lots of data and train machine learning and AI on it, 00:09:51.448 --> 00:09:54.486 you can build an automated AI that detects these patterns 00:09:54.486 --> 00:10:00.418 much better than just a shake detector can do. 00:10:00.646 --> 00:10:04.669 So we realized that we needed to get this out, 00:10:04.669 --> 00:10:07.694 and with the PhD work of ?? 00:10:07.694 --> 00:10:10.085 and later great improvements by Empatica, 00:10:10.085 --> 00:10:13.953 this has made progress and the seizure detection is much more accurate. 00:10:13.953 --> 00:10:16.776 But we also learned some other things about SUDEP during this. NOTE Paragraph 00:10:16.776 --> 00:10:18.278 One thing we learned 00:10:18.278 --> 00:10:20.116 is that SUDEP is, 00:10:20.116 --> 00:10:23.254 while it's rare after a generalized tonic-clonic seizure, 00:10:23.254 --> 00:10:26.515 that's when it's most likely to happen after that type, 00:10:26.515 --> 00:10:29.554 and when it happens, it doesn't happen during the seizure, 00:10:29.554 --> 00:10:32.712 and it doesn't usually happen immediately afterwards, 00:10:32.712 --> 00:10:36.820 but immediately afterwards when the person just seems very still and quiet, 00:10:36.820 --> 00:10:42.439 they may go into another phase where the breathing stops, 00:10:42.439 --> 00:10:45.194 and then after the breathing stops, later the heart stops. 00:10:45.392 --> 00:10:47.459 So there's some time to get somebody there. 00:10:47.459 --> 00:10:53.445 We also learned that there is a region deep in the brain called the amygdala, 00:10:53.445 --> 00:10:56.366 which we had been studying in our emotion research a lot. 00:10:56.366 --> 00:10:57.782 We have two amygdalas, 00:10:57.782 --> 00:10:59.711 and if you stimulate the right one, 00:10:59.711 --> 00:11:02.366 you get a big right skin conductance response. 00:11:02.565 --> 00:11:06.538 Now, you have to sign up right now for a craniotomy to get this done, 00:11:06.728 --> 00:11:09.140 not exactly something you're going to volunteer to do, 00:11:09.140 --> 00:11:11.601 but it causes a big right skin conductance response. 00:11:11.601 --> 00:11:15.556 Stimulate the left one, big left skin conductance response on the palm. 00:11:15.782 --> 00:11:17.404 And furthermore, 00:11:17.404 --> 00:11:19.846 when somebody stimulates your amygdala 00:11:19.846 --> 00:11:22.542 while you're sitting there and you might just be working, 00:11:22.542 --> 00:11:25.201 you don't show any signs of distress, 00:11:25.201 --> 00:11:28.404 but you stop breathing, 00:11:28.710 --> 00:11:32.839 and you don't start again until somebody stimulates you. 00:11:32.839 --> 00:11:34.376 "Hey, Ros, are you there?" 00:11:34.376 --> 00:11:36.583 And you open your mouth to talk. 00:11:36.583 --> 00:11:39.326 As you take that breath to speak, 00:11:39.326 --> 00:11:41.191 you start breathing again. NOTE Paragraph 00:11:43.002 --> 00:11:46.841 So we had started with work on stress, 00:11:46.841 --> 00:11:50.446 which had enabled us to build lots of sensors 00:11:50.446 --> 00:11:51.893 that were gathering high quality enough data 00:11:51.893 --> 00:11:53.347 that we could leave the lab and start to get this in the wild, 00:11:53.347 --> 00:11:56.665 accidentally found a whopper of a response with the seizure, 00:11:56.665 --> 00:11:59.508 neurological activation that can cause a much bigger response 00:11:59.508 --> 00:12:00.894 than traditional stressors, 00:12:00.894 --> 00:12:02.959 lots of partnership with hospitals and an epilepsy monitoring unit, 00:12:02.959 --> 00:12:05.968 especially Children's Hospital Boston 00:12:05.968 --> 00:12:07.983 and the Brigham, 00:12:07.983 --> 00:12:09.997 and machine learning and AI on top of this 00:12:09.997 --> 00:12:13.051 to take and collect lots more data 00:12:13.051 --> 00:12:15.907 in service of trying to understand these events 00:12:15.907 --> 00:12:18.005 and if we could prevent SUDEP. NOTE Paragraph 00:12:18.263 --> 00:12:21.253 This is now commercialized by Empatica, 00:12:21.253 --> 00:12:24.763 a startup that I had the privilege to cofound, 00:12:24.763 --> 00:12:27.035 and the team there has done an amazing job improving the technology 00:12:27.035 --> 00:12:30.776 to make a very beautiful sensor 00:12:30.776 --> 00:12:34.391 that not only tells time and does steps and sleep and all that good stuff, 00:12:34.391 --> 00:12:37.857 but this is running real time AI and machine learning 00:12:37.857 --> 00:12:40.335 to detect generalized tonic-clonic seizures 00:12:40.335 --> 00:12:42.596 and send an alert for help 00:12:42.596 --> 00:12:45.812 if I were to have a seizure and lose consciousness. 00:12:45.812 --> 00:12:48.652 This just got FDA-approved 00:12:48.652 --> 00:12:50.774 as the first smartwatch 00:12:50.774 --> 00:12:52.792 to get approved in neurology. NOTE Paragraph 00:12:54.235 --> 00:13:00.552 (Applause) NOTE Paragraph 00:13:02.914 --> 00:13:07.112 Now the next slide is what made my skin conductance go up. 00:13:07.242 --> 00:13:08.971 One morning, I'm checking my email 00:13:08.971 --> 00:13:11.214 and I see a story from a mom 00:13:11.214 --> 00:13:13.012 who said she was in the shower 00:13:13.012 --> 00:13:15.547 and her phone was on the counter by the shower, 00:13:15.547 --> 00:13:18.436 and it said her daughter might need her help. 00:13:18.436 --> 00:13:21.239 So she interrupts her shower and goes running to her daughter's bedroom, 00:13:21.239 --> 00:13:25.608 and she finds her daughter face down in bed blue and not breathing. 00:13:25.608 --> 00:13:29.046 She flips her over, human stimulation, 00:13:29.046 --> 00:13:32.746 and her daughter takes a breath, and another breath, 00:13:32.936 --> 00:13:36.890 and her daughter turns pink and is fine. 00:13:37.791 --> 00:13:40.851 I think I turned white reading this email. 00:13:40.851 --> 00:13:43.385 My first response is, "Oh no, it's not perfect. 00:13:43.385 --> 00:13:45.234 The Bluetooth could break. The battery could die. 00:13:45.234 --> 00:13:47.590 All these things could go wrong. Don't rely on this." 00:13:47.590 --> 00:13:49.435 And she said, "It's OK. 00:13:49.435 --> 00:13:51.667 I know no technology is perfect. 00:13:51.667 --> 00:13:54.601 None of us can always be there all the time. 00:13:54.601 --> 00:13:59.450 But this, this device plus AI 00:13:59.450 --> 00:14:02.984 enabled me to get there in time to save my daughter's life. NOTE Paragraph 00:14:06.245 --> 00:14:08.103 Now, I've been mentioning children, 00:14:08.103 --> 00:14:13.834 but SUDEP peaks actually among people in their 20s, 30s, and 40s, 00:14:13.834 --> 00:14:16.832 and the next line I'm going to put up 00:14:16.832 --> 00:14:18.044 is probably going to make some people uncomfortable, 00:14:18.044 --> 00:14:22.908 but it's less uncomfortable than we'll all be 00:14:22.908 --> 00:14:24.807 if this list is extended to somebody you know. 00:14:24.807 --> 00:14:27.437 Could this happen to somebody you know? 00:14:27.437 --> 00:14:30.133 And the reason I bring up this uncomfortable question 00:14:30.133 --> 00:14:34.926 is because one in 26 of you will have epilepsy at some point, 00:14:34.926 --> 00:14:37.398 and from what I've been learning, 00:14:37.398 --> 00:14:40.547 people with epilepsy often don't tell their friends and their neighbors 00:14:40.547 --> 00:14:41.698 that they have it. 00:14:41.698 --> 00:14:46.995 So if you're willing to let them use an AI or whatever 00:14:46.995 --> 00:14:51.321 to summon you in a moment of possible need, 00:14:51.321 --> 00:14:53.032 if you would let them know that, 00:14:53.032 --> 00:14:55.386 you could make a difference in their life. NOTE Paragraph 00:14:56.000 --> 00:15:00.397 Why do all this hard work to build AIs? 00:15:00.397 --> 00:15:01.927 A couple of reasons here: 00:15:01.927 --> 00:15:03.856 one is Natasha, the girl who lived, 00:15:03.856 --> 00:15:07.575 and her family wanted me to tell you her name. 00:15:07.575 --> 00:15:09.115 Another is her family 00:15:09.115 --> 00:15:11.849 and the wonderful people out there 00:15:11.849 --> 00:15:13.970 who want to be there to support people who have conditions 00:15:13.970 --> 00:15:18.063 that they've felt uncomfortable in the past mentioning to others. 00:15:18.253 --> 00:15:20.311 And the other reason is all of you, 00:15:20.311 --> 00:15:22.849 because we have the opportunity 00:15:22.849 --> 00:15:25.481 to shape the future of AI. 00:15:25.481 --> 00:15:28.273 We can actually change it, 00:15:28.273 --> 00:15:30.203 because we are the ones building it. NOTE Paragraph 00:15:30.203 --> 00:15:32.352 So let's build AI 00:15:32.352 --> 00:15:35.991 that makes everybody's lives better. NOTE Paragraph 00:15:35.991 --> 00:15:38.588 Thank you. NOTE Paragraph 00:15:38.588 --> 00:15:41.691 (Applause)