You can’t care for patients; you’re not human! | Maneesh Juneja | TEDxPorto
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0:11 - 0:14When it comes to health care today,
-
0:14 - 0:19what's natural is that
it's a deeply human, personal experience. -
0:19 - 0:24Kindness, empathy, compassion,
eye contact, human touch - -
0:24 - 0:26when we're feeling sick,
when we're unwell, -
0:27 - 0:29when we need help and reassurance,
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0:29 - 0:33we turn to human doctors,
human healthcare professionals. -
0:34 - 0:36That's what's natural right now.
-
0:36 - 0:40However, I want to tell you a story
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0:40 - 0:43about something that happened
to me and my family -
0:43 - 0:46which made me rethink
what's going to be natural in health care -
0:46 - 0:49and whether humans
would always be at the center -
0:49 - 0:51of the healthcare experience.
-
0:52 - 0:55So last year, in England,
-
0:55 - 0:57my mother called a service
on the telephone -
0:57 - 0:59provided by the healthcare system,
-
0:59 - 1:02where you can phone up,
you describe your symptoms, -
1:02 - 1:05and they tell you whether to go
to the emergency room, -
1:05 - 1:07whether you go to urgent care
-
1:07 - 1:10or whether it's something
you can take care of at home -
1:10 - 1:12using over-the-counter
medicines, for example. -
1:13 - 1:16So middle of the night, and she called up,
-
1:16 - 1:18and they took her through
the list of questions, -
1:18 - 1:20and they're rushing her through the list.
-
1:20 - 1:21She's in her seventies.
-
1:21 - 1:24She's sick, she's confused,
it's the middle of the night. -
1:24 - 1:25And she was telling them,
-
1:25 - 1:28"Look, I'm really old, I need time
to think about my answers." -
1:28 - 1:29And they're rushing her,
-
1:29 - 1:32and she felt that the entire experience,
-
1:32 - 1:33despite a human being
-
1:33 - 1:36being a human being
on the end of the telephone -
1:36 - 1:37in the healthcare system,
-
1:37 - 1:44it was missing of compassion,
empathy, kindness. -
1:44 - 1:47Now, contrast that with a few weeks later.
-
1:47 - 1:51I was also unwell, and I decided
to use the same service. -
1:51 - 1:54But this time, there's a version
of that telephone hotline -
1:54 - 1:56but provided by an app -
without any human being. -
1:57 - 1:59And I put in my symptoms,
-
1:59 - 2:03and the end result was it advised me
I can take care of myself at home; -
2:03 - 2:04nothing to worry about,
-
2:04 - 2:06"You don't need to go to a facility."
-
2:06 - 2:08But what I found was really interesting
-
2:08 - 2:10was compared to my mother's experience
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2:10 - 2:13of the human being on the telephone
rushing her through the questions -
2:13 - 2:18is this machine, using this app,
I had time to think about my answers. -
2:18 - 2:20I had time to respond.
-
2:20 - 2:21I wasn't rushed.
-
2:21 - 2:25And it really felt like
a compassionate experience. -
2:26 - 2:28And it made me think:
-
2:28 - 2:29Are we at a point
-
2:29 - 2:34where one day we might have
machines that can care for us, -
2:34 - 2:39machines that can do
what humans currently do today? -
2:41 - 2:43When we think about the greater challenge,
-
2:43 - 2:46we currently have 7.5 billion
people on this planet. -
2:46 - 2:49Many of them don't have access
to any healthcare facilities, -
2:49 - 2:53and even if they do have access,
it's often unaffordable -
2:53 - 2:54or there're long queues.
-
2:54 - 2:56And if you think,
by the end of this century, -
2:56 - 3:00it's forecasted that we're going to go
from 7.5 billion to 11 billion people - -
3:00 - 3:04how are we going to provide
safe and affordable health care -
3:04 - 3:07to those 11 billion people
by the end of this century? -
3:08 - 3:10And on top of that, there's another trend,
-
3:10 - 3:13that healthcare systems are trying
to reposition themselves, saying, -
3:13 - 3:15"Instead of just coming
to us when you're sick, -
3:15 - 3:18what can we do to help you
prevent you from getting a disease? -
3:18 - 3:21How can we help you stay healthy?"
-
3:21 - 3:22So self-care
-
3:22 - 3:27and taking more responsibility
for our own health on a daily basis. -
3:27 - 3:30And that's where AI is coming in:
Artificial Intelligence. -
3:31 - 3:35So you'll hear stories;
influential people saying, -
3:35 - 3:37"We got to be really scared about AI
-
3:37 - 3:40because if it develops
and we let it develop, -
3:40 - 3:42it's going to end up ruling us
-
3:42 - 3:44and we're going to become
slaves to these machines." -
3:45 - 3:47But I believe, especially in health care,
-
3:47 - 3:49what if we can develop AI
-
3:49 - 3:52that's compassionate,
that's kind, that's empathetic, -
3:52 - 3:55and it can fill this gap
in helping 11 billion people -
3:55 - 3:57in the future at the end of this century
-
3:57 - 4:01have access to health care
whenever they want it, at the right time? -
4:03 - 4:04I want to share my experiences.
-
4:04 - 4:06I've been trying a number of chatbots.
-
4:06 - 4:09You may have tried chatbots
for customer service on a website. -
4:10 - 4:12And this one is called Wysa -
-
4:12 - 4:14it's developed in India -
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4:14 - 4:17a compassionate AI chatbot.
-
4:17 - 4:19And what I found when I was using it
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4:19 - 4:21is that it actually feels
-
4:21 - 4:24like you're talking or you're chatting
to a real human being. -
4:24 - 4:29And the founder of this chatbot,
Wysa, is a lady called Jo Aggarwal - -
4:29 - 4:30based out in India -
-
4:30 - 4:35and in her TEDx Talk last year,
she talked about what changed for her: -
4:35 - 4:38that after some users
had been using in this, -
4:38 - 4:40she got a message from one of the users,
-
4:40 - 4:47a 13-year-old girl who said
that she had suicidal thoughts -
4:47 - 4:54and what helped her cling on to life,
at that point, was Wysa, -
4:54 - 4:57this app on her phone.
-
4:58 - 4:59Think about it.
-
4:59 - 5:01Imagine the people out there
around the world. -
5:02 - 5:04They don't feel like
they have friends or family -
5:05 - 5:09or even a psychiatrist or a psychologist
to turn to in that moment. -
5:09 - 5:13What if they could turn
to a machine that cares? -
5:13 - 5:15Is that a bad thing
just because it's not natural? -
5:15 - 5:19Think of how many lives could be saved
when it comes to mental health. -
5:22 - 5:24You've got the rise of smart speakers
-
5:24 - 5:26from Google, from Amazon,
even from Apple now. -
5:26 - 5:29So children now growing up
-
5:29 - 5:32are finding it perfectly
normal and natural -
5:32 - 5:34to have a conversation
with a smart speaker -
5:34 - 5:39and ask it the news, ask it the weather,
possibly even get information on health. -
5:39 - 5:42And then, if you think about
what the potential for this, -
5:42 - 5:45researchers are already working
on algorithms behind the scenes -
5:45 - 5:48that will take this voice data,
you're having a conversation, -
5:49 - 5:54and it could even potentially detect
conditions like Alzeimer's and Parkinson's -
5:54 - 5:56just from your voice data.
-
5:56 - 5:59Think how powerful
that could be on a global basis, -
5:59 - 6:01just from these speakers as they evolve.
-
6:04 - 6:06It's even coming to toothbrushes.
-
6:06 - 6:09So this is me,
brushing my teeth in London -
6:09 - 6:12with the world's first toothbrush
which is powered by AI. -
6:12 - 6:17It has sensors in it, monitors
my brushing frequency, my habits, -
6:17 - 6:18how much pressure I'm putting.
-
6:19 - 6:21But what surprised me
-
6:21 - 6:26was that this toothbrush
actually cares about my sleep as well. -
6:26 - 6:29So it noticed that I was brushing my teeth
consistently late at night. -
6:29 - 6:32And it says, "Hey, maybe you want
to go to bed earlier -
6:32 - 6:33and have a good night's sleep."
-
6:33 - 6:35How would you feel about this world
-
6:35 - 6:38where even your toothbrush
is now caring for you? -
6:38 - 6:40Not just about your teeth
but about your sleep. -
6:40 - 6:44What next? It's going to tell me
what pizza I should eat tomorrow? -
6:44 - 6:46(Laughter)
-
6:48 - 6:53So potentially in the future,
we might have machines that care for us -
6:53 - 6:59because they can recognize and respond
to our emotions in real time. -
6:59 - 7:02This is what researchers
out there are working on. -
7:02 - 7:04They have this vision of machines
-
7:04 - 7:08that are as compassionate
and kind and empathetic -
7:08 - 7:10as any of us as humans.
-
7:10 - 7:15So it might not feel artificial anymore
-
7:15 - 7:20to deal with a machine
in these scenarios in health care. -
7:20 - 7:23So there's a company
out in the US, Affectiva. -
7:23 - 7:26They're working on emotion AI
for automotive, for example. -
7:27 - 7:29So picture this scenario:
-
7:29 - 7:30you're stuck in rush-hour traffic,
-
7:30 - 7:31here in Porto,
-
7:31 - 7:34you're feeling a bit sad,
it's been a long day, -
7:34 - 7:35you're stressed out.
-
7:35 - 7:37How would you feel if the car could detect
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7:37 - 7:40that you're feeling sad
from your expressions on your face -
7:40 - 7:43and how you're looking
and how you're feeling? -
7:43 - 7:44And then, maybe suggest,
-
7:44 - 7:46"Oh, maybe I'll play you
some music to cheer you up, -
7:46 - 7:50or maybe I'll change
the fresh-air setting in the car." -
7:50 - 7:54Or maybe if it can detect
that you're feeling that tired, it says, -
7:54 - 7:56"Pull over at the next rest area."
-
7:56 - 7:59So think about even these cars
that potentially will care for us, -
7:59 - 8:01these machines.
-
8:01 - 8:04How do we feel about
more and more machines caring for us? -
8:05 - 8:06[What do people want?]
-
8:06 - 8:09And it's important to understand
what people want. -
8:09 - 8:11It's not just about technology,
people saying, -
8:11 - 8:14"We can develop this. Let's roll this out.
It's great for humanity." -
8:14 - 8:15Let's ask people.
-
8:16 - 8:19So there was a survey done that asked
people in a number of countries, -
8:20 - 8:21"How willing would you be -
-
8:21 - 8:26would you be willing to engage with AI
and robotics for your healthcare needs?" -
8:26 - 8:29They asked a number of people
in a number of countries. -
8:29 - 8:34The country where people were most willing
to engage with health care and robotics, -
8:34 - 8:38with AI and robotics
for their healthcare needs -
8:38 - 8:40was Nigeria, in Africa.
-
8:40 - 8:4594% of people surveyed in Nigeria said,
"Yes, I'd be willing to engage with AI." -
8:45 - 8:48So when you think about
where are the places in the world -
8:48 - 8:52that are going to try these new advances
in terms of caring machines, -
8:52 - 8:54where is it going to hit first?
-
8:54 - 8:56Who's going to be most open to it?
-
8:56 - 9:00It could be countries we don't associate
with innovation and technology. -
9:00 - 9:02And in fact, in that same survey
-
9:02 - 9:04in the UK only 39% of the people
-
9:04 - 9:08said they'd be willing to engage with AI
and robotics for healthcare needs. -
9:10 - 9:12And then, what about
when we might prefer - -
9:12 - 9:15even if you got a human being
available in health care - -
9:15 - 9:20when might you prefer a machine,
to deal with a machine? -
9:20 - 9:23So there's another survey,
this one done in 2016, -
9:23 - 9:25they asked smartphone users
around the world. -
9:26 - 9:31And they found that actually 29%
of those people surveyed -
9:31 - 9:33said for sensitive matters,
-
9:33 - 9:38they'd prefer to deal with an AI
medical adviser than a human being. -
9:38 - 9:39Think about that.
-
9:39 - 9:44What could drive you to prefer
a machine than a human being? -
9:45 - 9:48I was thinking, maybe it's mental health,
maybe it's sexual health. -
9:48 - 9:51How many of you have had
an embarrassing condition, -
9:51 - 9:55and it's either delayed you seeking help
or you haven't looked for help at all -
9:55 - 9:57because it's just too embarrassing?
-
9:57 - 9:59You don't want another human being
-
9:59 - 10:01to judge you because
you have that condition. -
10:03 - 10:06But there are tough decisions ahead;
it's not going to be easy. -
10:06 - 10:07Again, like I said,
-
10:07 - 10:10it's not a case of just
this technology is here, let's use it. -
10:10 - 10:12We have to be very, very cautious
-
10:12 - 10:15because, again, this is our health,
this is our well-being. -
10:17 - 10:20And there was a video for a robot
that's come out of London. -
10:20 - 10:23And in this video,
their promotional video, -
10:23 - 10:27it showed somebody reaching
for a midnight snack. -
10:27 - 10:29Many of us have had midnight snacks.
-
10:29 - 10:32We're not supposed to -
it's bad for our health - but we do. -
10:32 - 10:35And in this video,
this robot that was in the kitchen -
10:35 - 10:37noticed that they're reaching
for their midnight snack -
10:37 - 10:39and prompted, as they opened the door,
-
10:39 - 10:42"Hey, sure you want to have
that burger or that cake? -
10:42 - 10:46It's an extra two hours to burn it off
in the morning to go for a run." -
10:46 - 10:49And that person then decides
to follow the robot's advice -
10:50 - 10:52and not have that midnight snack.
-
10:52 - 10:55How do you feel about a world
where you'll stay healthy, -
10:56 - 10:59you'll be prevented from having
so many diseases -
10:59 - 11:03because these machines
will limit our choices on a daily basis, -
11:03 - 11:06whether it's in the car or the office,
at home, wherever we are? -
11:06 - 11:09How do you feel about your freedom
being affected there -
11:09 - 11:11with machines that care?
-
11:12 - 11:16And then, underpinning this revolution
is going to be day to day about us - -
11:16 - 11:19our preferences,
our behaviors, our habits. -
11:19 - 11:23And think about the recent scandal
with Facebook and Cambridge Analytica, -
11:23 - 11:25and then privacy and trust.
-
11:25 - 11:27Who's going to be having access
to all this data? -
11:27 - 11:29Is it a health insurer?
-
11:29 - 11:31Are people going
to be using it to penalize us -
11:31 - 11:34because we're making decisions
that are not healthy? -
11:34 - 11:37There's so much to think about
on this road ahead. -
11:38 - 11:40And then errors as well.
-
11:40 - 11:45So the possibilities are that, actually,
if we turn to machines that care, -
11:45 - 11:47maybe they're not going
to make mistakes -
11:47 - 11:49like human healthcare professionals do;
-
11:49 - 11:51they're not going
to give us the wrong drug, -
11:51 - 11:53they're not going to misdiagnose us.
-
11:53 - 11:57But equally, these digital systems
that are going to care for us -
11:57 - 11:58are not perfect either.
-
11:58 - 12:02So just this week, I was trying something
from Microsoft called Cortana. -
12:02 - 12:04It's a general-purpose
assistant on my phone. -
12:04 - 12:06I said, "I'm bleeding,"
and it says, "Okay." -
12:06 - 12:09I said, "I'm bleeding to death,"
and it says, "Interesting." -
12:09 - 12:10(Laughter)
-
12:10 - 12:13So we have to be really
careful in this journey: -
12:13 - 12:15who we trust, what we trust.
-
12:16 - 12:18And accountability is really important.
-
12:18 - 12:20So today, if a doctor makes a mistake,
-
12:20 - 12:22we can go and say,
-
12:22 - 12:24"Hey, you made a mistake,
you gave me the wrong medicine." -
12:25 - 12:27Who are we going to hold accountable
-
12:27 - 12:29when these algorithms,
these robots, these chatbots - -
12:29 - 12:31these machines that care for us -
-
12:31 - 12:32get something wrong?
-
12:32 - 12:34How do we even know
when they've made a mistake? -
12:34 - 12:36There's millions of lines of code.
-
12:36 - 12:37Who's going to regulate them?
-
12:39 - 12:41Another thing I was thinking about
-
12:41 - 12:47is that potentially could it make
the world more inequal? -
12:47 - 12:50In terms of could it only be in the future
-
12:50 - 12:53that the very rich people have access
to human healthcare professionals? -
12:53 - 12:56For the rest of us,
we all have access to health care, -
12:56 - 12:59but it's via a machine
or a type of machine. -
13:00 - 13:02Think of Japan as well.
-
13:02 - 13:05Now, in some ways
they're ahead of the curve. -
13:05 - 13:07They've got an aging population,
a shrinking workforce, -
13:08 - 13:12and they're also leading the world
when it comes to research of care robots, -
13:12 - 13:13especially for the elderly.
-
13:13 - 13:16And I met a lady from Japan
a few years ago; she said, -
13:16 - 13:21"I'd rather be cared for by a robot nurse,
than a foreign nurse." Why? -
13:21 - 13:24Because they don't want
to open themselves to immigration. -
13:25 - 13:27So what does that mean here in Europe?
-
13:27 - 13:28You've got Brexit.
-
13:28 - 13:31Part of the drive of Brexit
was immigration, a fear. -
13:31 - 13:32We want to reduce immigration.
-
13:32 - 13:36So does that mean here in Europe
we're going to end up in a world -
13:36 - 13:40where we do have these machines
that care for us -
13:40 - 13:42because we, suddenly,
we're afraid of foreigners? -
13:42 - 13:44We won't have enough people to care.
-
13:44 - 13:47Then what about loneliness,
an epidemic of loneliness? -
13:47 - 13:49So in the UK it was suggested
-
13:49 - 13:52that we give these smart speakers
to the elderly to combat loneliness. -
13:52 - 13:54Is this the kind of world
we want to build, -
13:54 - 13:58when we have a connection
to a machine rather than each other? -
13:58 - 14:00Is that really the way forwards?
-
14:00 - 14:02So we have to have balance.
-
14:03 - 14:06We can't be too afraid;
we can't be too excited. -
14:06 - 14:09We have to take a middle path
when it comes to this future. -
14:11 - 14:13But if it done well, if we do it right,
-
14:13 - 14:16if we really involve everybody
in the conversation, -
14:16 - 14:19I believe that, potentially,
machines that care -
14:19 - 14:23could increase the humanity
in health care around the world. -
14:23 - 14:27Think about those 11 billion people
by the end of this century. -
14:27 - 14:30So at what point of the century
will it become natural -
14:30 - 14:33that when we're sick,
when we want health advice, -
14:33 - 14:36we turn to a machine
rather than a human being? -
14:37 - 14:40And, finally, I want to ask you:
-
14:40 - 14:45Are you ready for a world
where we have machines that care? -
14:46 - 14:47Thank you.
-
14:47 - 14:49(Applause)
- Title:
- You can’t care for patients; you’re not human! | Maneesh Juneja | TEDxPorto
- Description:
-
When it comes to improving the health of the world, many eyes are looking at recent advancements in Artificial Intelligence (AI) with hope. Some even believe that AI will solve every problem in health care. Our homes will become smart enough to know that we haven’t been active enough and will instruct the fridge to suggest healthy recipes personalized to your nutritional goals. Your self-driving car will track your health during your commute to the office and schedule doctor’s appointments. You will grow old surrounded by robot companions who can take care of your every need, never feeling tired, never complaining but anticipating your needs in advance. Technology companies, large and small, are looking at health care and wondering, “How can my algorithm make this better, cheaper and faster?”
Humans are inconsistent and make mistakes and don’t always smile at you if they are having a bad day. Children born today, growing up with digital assistants, maybe the first generation who believes that intelligent machines can "care" just as well, if not better than any human doctor or nurse.
Health care is about humans, it involves listening, empathy and compassion. Machines can’t care for us; only humans can. However, what if some patients prefer interacting with a machine rather than a human? Should we be holding back progress because we don’t understand this?
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDxTalks
- Duration:
- 15:00
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