Raphael Arar: How we can teach computers to make sense of our emotions
Raphael Arar - Designer, researcher
IBM's Raphael Arar creates art and designs experiences that examine the complexities of our increasingly technocentric lives. Full bio
and one part designer.
intelligence research lab.
in the far future.
but try years and decades from now.
interacting with computers
just as much human as it is artificial.
that'll have you and your best friend
that you can just smell from miles away.
bridge this gap between human and machine:
to get each other
to put tangible experiences
feelings and emotions.
of the most human things about us.
and complex bunch.
an infinite range of emotions,
and different psychologies.
working on intelligent technology
qualitative thing about us --
emotional, dynamic and subjective --
to a quantitative metric:
with facts, figures and computer code.
many qualitative things
your favorite song for the first time.
there's really a ton of complexity.
that complexity to machines
answer these deeper questions
design better experiences
that computers can relate to us.
some of the hardest questions,
how to be present with each other?
affect the way that we interact?
of our most basic ones,
anger, fear and disgust,
characteristics to math.
describing to each other?
a piece of art, an experience,
an emotion that's so highly subjective
a nostalgia score
asks you to share a story,
for its simpler emotions,
to use past-tense wording
that we tend to associate with nostalgia,
behind these light-based sculptures
of your contribution.
the rosier the hue.
through rose-colored glasses.
and sometimes you wouldn't.
how that experience made you feel.
it doesn't understand you at all.
the emotions that we have to each other,
to make sense of them?
about being human are hard to describe.
to break down the steps?
with your friend at a coffee shop
what topics to discuss?
don't really think about it,
we learn more about what makes them tick,
what topics we can discuss.
AI systems how to interact with people,
step by step what to do.
with Alexa, Siri or Google Assistant,
can still sound cold.
what you were saying
20 times just to play a song?
realistic communication is really hard.
for different types of conversation.
or counseling, teaching and others.
with a conversation analyst at the lab
hold more human-sounding conversations.
with a chatbot on your phone
and less cold and disjointed.
the robotic, clunky interaction
and, well, what we can do about it.
system against another
is that you get something
it gets into these, well,
conversation can make sense,
feeling cold and robotic.
the dialogue lacks soul
that make each of us who we are.
hashtags and emojis,
and, well, a little creepy.
but just slightly off.
for the humanness of a conversation
lost in translation.
that get lost in translation, too,
are gaining more autonomy.
of our houses based on our preferences
that you and I do in person
to translate to AI.
that you saw an old classmate or coworker.
or go in for a handshake?
built up experiences
that access to one's intuition,
nonlinear place in our consciousness
of all of our experiences.
and help amplify our creative abilities,
about how to make computers be intuitive.
how something like human intuition
to artificial intelligence.
that explores computer-based intuition
that has four kinetic sculptures.
on the top of each sculpture
you are from them.
that sculptures move
like the automatic door sensor
when you walk in front of it.
of its collection of lived experiences.
affect the way that it moves.
throughout its exhibition history --
based on what it's learned from others.
is that as participants
of detail that we need
being played out on the computer,
being processed in our mind's eye.
of how I'm using art to feed into my work
of artificial intelligence.
to move innovation forward.
a lot of extremes when it comes to AI.
as this destructive force
are showing it as a savior
most complex problems.
that we're living in a world
and more digital by the second.
smart appliances and more.
this will let up any time soon.
more humanness from the start.
into an AI research process
About the speaker:Raphael Arar - Designer, researcher
IBM's Raphael Arar creates art and designs experiences that examine the complexities of our increasingly technocentric lives.
Why you should listen
While his artwork raises questions about our relationship with modernity and technology, Raphael Arar’s design work revolves around answering those questions in human-centered ways.
Currently a designer and researcher at IBM Research, Arar has been exploring ways to translate aspects of emotional intelligence into machine-readable format. Through this, he is passionately tackling ethical platforms of artificial intelligence. Inc. Magazine says he "epitomizes the style and multi-disciplinary skill set of the modern designer," and in 2017, he was listed as one of Forbes's "30 under 30 in Enterprise Technology."
Raphael Arar | Speaker | TED.com