MALE_1: Imagine you're a person working in an office
MALE_1: 100 years in the future and you
MALE_1: realize [NOISE] you've run out of paperclips.
MALE_1: Frustrated, you turned to your supersmart
MALE_1: Artificial Intelligence robot assistant and say,
MALE_1: make sure I never run out of paperclips again.
MALE_1: The robot doing as it's told,
MALE_1: [NOISE] goes about learning how to acquire
MALE_1: every single paper they can,
MALE_1: every single paperclip in existence.
MALE_1: Once it's collected all of those,
MALE_1: it teaches itself how to make paperclips,
MALE_1: [NOISE] gathering all the resources,
MALE_1: like iron it needs to do this.
MALE_1: [MUSIC] Eventually it's used up all the iron in
MALE_1: the entire world making
MALE_1: paperclips and starts to figure out what else it can use.
MALE_1: Humans have iron in their blood.
MALE_1: [NOISE] So, why not use them to make paperclips?
MALE_1: Eventually, the entire planet becomes
MALE_1: paperclips and then the entire universe.
MALE_1: Your trusty AI robot has made sure you
MALE_1: never ever run out of paperclips again.
MALE_1: [MUSIC] This is a bizarre scenario but it represents
MALE_1: a real concern for researchers
MALE_1: theorizing about the future of Artificial Intelligence.
MALE_1: If we created supersmart machines,
MALE_1: machines that are way smarter than us,
MALE_1: would they destroy us?
MALE_1: And if this could happen wouldn't it make
MALE_1: sense for us to teach our machines to care about us?
MALE_1: Can we even do that?
MALE_1: [MUSIC] We should probably
MALE_1: take a second to clarify a few things.
MALE_1: Artificial Intelligence is a big wide term
MALE_1: used to describe all types of software machines.
MALE_1: Basically, it means technology that performs
MALE_1: tasks that normally would
MALE_1: require a human brain to execute.
MALE_1: One misconception is that AI is synonymous with robots.
MALE_1: Robots can be a house for AI but it isn't AI itself.
MALE_1: Also, we use the term AI
MALE_1: a lot to talk about technology of the future.
MALE_1: We use AI right now.
MALE_1: We just don't call it that because we've
MALE_1: integrated it so much into our lives.
MALE_1: Computer scientists say we are on
MALE_1: the cusp of an Artificial Intelligence revolution.
MALE_1: Autonomous Robots and computers
MALE_1: that are able to think and make
MALE_1: decisions on their own are no longer a sci-fi fantasy.
MALE_1: AI has the potential to predict
MALE_1: natural disasters and diagnose
MALE_1: cancer better than humans ever could.
MALE_1: Many researchers predict we will have AI with
MALE_1: human level intelligence within the next 50 years.
MALE_1: Humans have dominated the planet
MALE_1: because we are the smartest.
MALE_1: We won the evolutionary game
MALE_1: of roulette because of our brainpower.
MALE_1: But when AI becomes smarter than
MALE_1: us what will happen next?
MALE_1: The robot apocalypse has
MALE_1: certainly become a popular plotline for
MALE_1: Hollywood movies but the rise of the machines and
MALE_1: the extinction of the human race is an actual threat,
MALE_1: according to AI researchers.
MALE_1: Ariel Conn is director of media
MALE_1: and outreach at the Future of Life Institute.
FEMALE_1: [MUSIC] We focus on access interests primarily,
FEMALE_1: so we're looking at especially ways that
FEMALE_1: technology could potentially destroy humanity.
MALE_1: So, are we all destined to die in
MALE_1: the coming robot apocalypse
MALE_1: because of super intelligent AI?
FEMALE_1: I have not heard
FEMALE_1: any AI researcher yet who thinks that is going happen.
FEMALE_1: No one is worried about
FEMALE_1: robots deciding that humans need to die.
FEMALE_1: I think a lot of our worries
FEMALE_1: are this idea of competent that we
FEMALE_1: ask the program to do
FEMALE_1: something and it's so focused on doing that,
FEMALE_1: that it's not as concerned about
FEMALE_1: what sort of damage it does in the process.
MALE_1: [MUSIC] We're nowhere near creating super intelligent AI,
MALE_1: but the concern isn't that
MALE_1: our machines will eventually turn against us,
MALE_1: it's that they won't be able to
MALE_1: consider how their actions impact us.
MALE_1: Meaning, a machine has to be able
MALE_1: to figure out if it should do something,
MALE_1: not just of it can do something.
FEMALE_1: [MUSIC] And also, how can the machines
FEMALE_1: learn this values on their own-
MALE_2: Clues might lie in how we
MALE_2: teach ourselves how to care about each other.
MALE_2: Empathy is feeling with someone
MALE_2: instead of feeling for someone.
MALE_2: It makes a large part of what has come to be known
MALE_2: as emotional intelligence, or EQ.
MALE_2: An emotionally intelligent person
MALE_2: may be considered well-adjusted,
MALE_2: considerate, and not impulsive.
MALE_2: An example is understanding that your boss'
MALE_2: angry outburst might not be because they're a jerk,
MALE_2: but might be because of the enormous
MALE_2: amount of stress they're under.
MALE_2: It is tapping into our deep human hardwiring
MALE_2: and understanding the causes and effects of emotions.
MALE_2: Research studies have tied
MALE_2: high IQ to better job performance,
MALE_2: strong leadership and superior problem solving.
MALE_2: Emotional intelligence is something we
MALE_2: try to teach from a very young age.
MALE_2: It's essential to help us learn how to
MALE_2: function in a world with other people.
JESSICA KREISLER: Hi I'm Jess, and I'm an elementary school teacher.
MALE_2: Jess spends a lot of time
MALE_2: teaching her students about their emotions.
JESSICA KREISLER: It's really important that we
JESSICA KREISLER: label emotions and teach them to students.
JESSICA KREISLER: Like a child could be crying
JESSICA KREISLER: that they don't know that that means
JESSICA KREISLER: sad unless you teach them that when someone is crying,
JESSICA KREISLER: that usually means that they're feeling sad.
JESSICA KREISLER: Unless you know what the word
JESSICA KREISLER: to describe the way you're feeling is,
JESSICA KREISLER: that emotion really doesn't mean that much.
MALE_2: Artificial intelligence is still in its infancy,
MALE_2: so teaching it to understand
MALE_2: emotions is a long way off probably.
MALE_2: But we are beginning to teach
MALE_2: our machines how to recognize emotions.
MALE_2: The MIT deep empathy AI scrubs
MALE_2: the photo sharing site Flickr for
MALE_2: pictures of the Syrian civil war,
MALE_2: and asks Internet users to choose
MALE_2: which ones gives them more of an emotional reaction,
MALE_2: so it can understand what images
MALE_2: make us feel more empathetic.
MALE_2: In the next five years, integrating AI with
MALE_2: emotional intelligence is projected
MALE_2: to be a multibillion dollar industry.
MALE_2: David Hanson creates robots that have
MALE_2: facial recognition software that can see
MALE_2: a person smile or frown and mimic that.
MALE_2: Companies have programmed
MALE_2: their customer service chat bots to
MALE_2: recognize angry customers and respond sympathetically.
MALE_2: Google has hired comedians to make
MALE_2: their personal assistant sound friendlier.
MALE_2: We're still nowhere close to getting AI to care about us.
MALE_2: That is a very human thing after all,
MALE_2: but we have already experienced how
MALE_2: they can make us feel something.
MALE_2: AlphaGo is an AI that plays the board game Go.
MALE_2: Go is a twenty five hundred year old game
MALE_2: that is considered more complex than chess.
MALE_2: It's super complicated and mastery
MALE_2: of the game is incredibly difficult.
MALE_2: Eighteen time world champion,
MALE_2: Lee Sedol is one of the best Go players in the world,
MALE_2: and in 2016, we sat down to
MALE_2: play a five game series against AlphaGo.
MALE_2: During the second game,
MALE_2: something happened that left the Go community stunned.
MALE_3: That's a very, that's a very surprising move.
MALE_2: Move 37 has become immortalized in the Go community.
MALE_2: When AlphaGo played a move that was so unexpected,
MALE_2: that it totally threw Sedol off his game.
MALE_4: Lee has left the room.
MALE_3: He left the room after that.
MALE_4: [OVERLAPPING] He left the room after that move.
MALE_2: The Go community was shocked because the move was
MALE_2: something a human would never ever do,
MALE_2: creating a possibility that no one had anticipated.
MALE_2: AlphaGo had shown human players how to view
MALE_2: the ancient game in an entirely new way.
MALE_2: We saw through the eyes of the computer
MALE_2: and felt something deeply human.
MALE_2: All of this stuff about super intelligent AI
MALE_2: is theoretical and really hard to
MALE_2: figure out and when it comes to
MALE_2: the potential destruction of humanity, pretty scary.
MALE_2: But for many, the limitless
MALE_2: possibilities of artificial intelligence,
MALE_2: what it can do for us, how it can help us,
MALE_2: and even what it can teach us,
MALE_2: far outweighs the dangers.
ARIEL CONN: The full reason we're
ARIEL CONN: trying to figure out how to design it
ARIEL CONN: safely is because we think it could be
ARIEL CONN: really good and that it's
ARIEL CONN: worth taking the time to do it right.
MALE_2: We just need to make sure we're creating
MALE_2: it with all of humanity in mind.
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