fifteen years ago Rotterdam the Netherlands it’s raining and I’m waiting
Netherlands it’s raining and I’m waiting
Netherlands it’s raining and I’m waiting for my interview at a consumer goods
for my interview at a consumer goods
for my interview at a consumer goods company
company
company it’s my seventh round interview and I am
it’s my seventh round interview and I am
it’s my seventh round interview and I am nervous because this is a job this is my
nervous because this is a job this is my
nervous because this is a job this is my first job and I really want it so when
first job and I really want it so when
first job and I really want it so when if he pH or calls me to tell me that I’m
if he pH or calls me to tell me that I’m
if he pH or calls me to tell me that I’m having a conversation with a
having a conversation with a
having a conversation with a psychologist she comforts me by saying
psychologist she comforts me by saying
psychologist she comforts me by saying it’s just gonna be a conversation to get
it’s just gonna be a conversation to get
it’s just gonna be a conversation to get to know you and no you don’t need to
to know you and no you don’t need to
to know you and no you don’t need to prepare anything so I take a couple of
prepare anything so I take a couple of
prepare anything so I take a couple of deep breaths and with wet hair I enter
deep breaths and with wet hair I enter
deep breaths and with wet hair I enter the room the psychologist is already
the room the psychologist is already
the room the psychologist is already waiting for me he doesn’t smile tells me
waiting for me he doesn’t smile tells me
waiting for me he doesn’t smile tells me to sit down and hands me a piece of
to sit down and hands me a piece of
to sit down and hands me a piece of paper this is a case study about a
paper this is a case study about a
paper this is a case study about a marmalade factory in Poland tell me in
marmalade factory in Poland tell me in
marmalade factory in Poland tell me in 15 minutes
15 minutes
15 minutes how you’re gonna increase the sales I
feel my heart beating and my hands start
feel my heart beating and my hands start sweating I just finished a Master degree
sweating I just finished a Master degree
sweating I just finished a Master degree in a Dutch Hospital on children with a
in a Dutch Hospital on children with a
in a Dutch Hospital on children with a genetical disease PNL P and L was that
genetical disease PNL P and L was that
genetical disease PNL P and L was that some kind of new medicine I had never
some kind of new medicine I had never
some kind of new medicine I had never done any volume or price analysis let
done any volume or price analysis let
done any volume or price analysis let alone been involved in sales strategies
alone been involved in sales strategies
alone been involved in sales strategies I look at the psychologist does he see
I look at the psychologist does he see
I look at the psychologist does he see that I’m struggling after 15 minutes
that I’m struggling after 15 minutes
that I’m struggling after 15 minutes when I start explaining my solutions to
when I start explaining my solutions to
when I start explaining my solutions to the best of my ability his attitude
the best of my ability his attitude
the best of my ability his attitude doesn’t change at that moment my mind
doesn’t change at that moment my mind
doesn’t change at that moment my mind goes crazy I already see myself stuck at
goes crazy I already see myself stuck at
goes crazy I already see myself stuck at my parents place well all my friends
my parents place well all my friends
my parents place well all my friends make fabulous careers so when I tell him
make fabulous careers so when I tell him
make fabulous careers so when I tell him this when I tell him that I feel that
this when I tell him that I feel that
this when I tell him that I feel that I’m totally in the wrong there
I’m totally in the wrong there
I’m totally in the wrong there action he for the first time looks at me
action he for the first time looks at me
action he for the first time looks at me wait a smile yes you are commercially as
wait a smile yes you are commercially as
wait a smile yes you are commercially as green as grass and this is not gonna
green as grass and this is not gonna
green as grass and this is not gonna work for us
work for us
work for us goodbye back on the street I can’t help
goodbye back on the street I can’t help
goodbye back on the street I can’t help but cry I feel like a complete loser was
but cry I feel like a complete loser was
but cry I feel like a complete loser was this worth years of education did I feel
this worth years of education did I feel
this worth years of education did I feel that I got a good chance to prove my
that I got a good chance to prove my
that I got a good chance to prove my motivation and learning capabilities
motivation and learning capabilities
motivation and learning capabilities would I ever find a job again I’m
would I ever find a job again I’m
would I ever find a job again I’m obviously here today and I survived but
obviously here today and I survived but
obviously here today and I survived but that experience 15 years ago completely
that experience 15 years ago completely
that experience 15 years ago completely changed my view on human decision-making
changed my view on human decision-making
changed my view on human decision-making I was confronted with human bias I had
I was confronted with human bias I had
I was confronted with human bias I had seen a career that I felt so passionate
seen a career that I felt so passionate
seen a career that I felt so passionate about seen stolen for me and to be
about seen stolen for me and to be
about seen stolen for me and to be completely Frank and open I had been
completely Frank and open I had been
completely Frank and open I had been biased to I thought this was a great
biased to I thought this was a great
biased to I thought this was a great opportunity and a great company but what
opportunity and a great company but what
opportunity and a great company but what had I actually known about the people
had I actually known about the people
had I actually known about the people behind that nice brand name not that
behind that nice brand name not that
behind that nice brand name not that much now let’s do a little experiment
much now let’s do a little experiment
much now let’s do a little experiment here in the audience
here in the audience
here in the audience you’re obviously seated next to nice
you’re obviously seated next to nice
you’re obviously seated next to nice people have a good look around you and
people have a good look around you and
people have a good look around you and pinpoint the person next to you who you
pinpoint the person next to you who you
pinpoint the person next to you who you think will be working in banking finance
think will be working in banking finance
think will be working in banking finance accountancy don’t be shy so why do you
accountancy don’t be shy so why do you
accountancy don’t be shy so why do you think that she’s in accounting is it
think that she’s in accounting is it
think that she’s in accounting is it because she’s wearing glasses
well that’s very human isn’t it but can
well that’s very human isn’t it but can be flaw too now if you dare raise your
be flaw too now if you dare raise your
be flaw too now if you dare raise your hand for those of you that are actually
hand for those of you that are actually
hand for those of you that are actually working in finance oh that’s a pretty
working in finance oh that’s a pretty
working in finance oh that’s a pretty different result isn’t it what if I
different result isn’t it what if I
different result isn’t it what if I given this presentation today with pink
given this presentation today with pink
given this presentation today with pink hair would you’ve observed me
hair would you’ve observed me
hair would you’ve observed me differently probably yes this is how
differently probably yes this is how
differently probably yes this is how human bias happens it’s very human but
human bias happens it’s very human but
human bias happens it’s very human but it’s wrong and it’s a problem a big
it’s wrong and it’s a problem a big
it’s wrong and it’s a problem a big problem boov you in the audience are
problem boov you in the audience are
problem boov you in the audience are currently looking for a job or
currently looking for a job or
currently looking for a job or interested in a career switch raise your
interested in a career switch raise your
interested in a career switch raise your hands well I was talking to a friend
hands well I was talking to a friend
hands well I was talking to a friend last week who was an executive in the
last week who was an executive in the
last week who was an executive in the food industry Rina he said I want to
food industry Rina he said I want to
food industry Rina he said I want to change industry I want to do something
change industry I want to do something
change industry I want to do something new I’m sure that my skill sets can be
new I’m sure that my skill sets can be
new I’m sure that my skill sets can be valuable somewhere else but then he
valuable somewhere else but then he
valuable somewhere else but then he angrily continued the headhunters are
angrily continued the headhunters are
angrily continued the headhunters are only offering me jobs in food it seems
only offering me jobs in food it seems
only offering me jobs in food it seems that I can’t get that sticker of my
that I can’t get that sticker of my
that I can’t get that sticker of my forehead and I could feel his
forehead and I could feel his
forehead and I could feel his frustration because every day were being
frustration because every day were being
frustration because every day were being judged you’re being judged often on
judged you’re being judged often on
judged you’re being judged often on merits that are far stretch from reality
merits that are far stretch from reality
merits that are far stretch from reality every day young people are screened out
every day young people are screened out
every day young people are screened out for jobs because they don’t have that
for jobs because they don’t have that
for jobs because they don’t have that exact University on their resume or that
exact University on their resume or that
exact University on their resume or that exact major all for reasons far worse
exact major all for reasons far worse
exact major all for reasons far worse than these in society we often talk
than these in society we often talk
than these in society we often talk about diversity and the importance of it
about diversity and the importance of it
about diversity and the importance of it but in our daily lives we take shortcuts
but in our daily lives we take shortcuts
but in our daily lives we take shortcuts and decision making especially in HR but
and decision making especially in HR but
and decision making especially in HR but let’s step into the shoes of the hiring
let’s step into the shoes of the hiring
let’s step into the shoes of the hiring manager for a moment what tools thus he
manager for a moment what tools thus he
manager for a moment what tools thus he or she actually have to find the right
or she actually have to find the right
or she actually have to find the right candidate how does she know who to look
candidate how does she know who to look
candidate how does she know who to look for in the first place
for in the first place
for in the first place well the uncomfortable truth is that we
well the uncomfortable truth is that we
well the uncomfortable truth is that we don’t exactly know or as a partner from
don’t exactly know or as a partner from
don’t exactly know or as a partner from a leading strategy firm put it we put
a leading strategy firm put it we put
a leading strategy firm put it we put all these resources in the recruitment
all these resources in the recruitment
all these resources in the recruitment process we do CV screening case studies
process we do CV screening case studies
process we do CV screening case studies face to face interviews assessment
face to face interviews assessment
face to face interviews assessment centers we invite a great group of
centers we invite a great group of
centers we invite a great group of diverse leaders just to believe that
diverse leaders just to believe that
diverse leaders just to believe that can take out this little bit of human
can take out this little bit of human
can take out this little bit of human bias in the process but the reality is
bias in the process but the reality is
bias in the process but the reality is we still sometimes hire the wrong people
we still sometimes hire the wrong people
we still sometimes hire the wrong people now what does this exactly mean for us
now what does this exactly mean for us
now what does this exactly mean for us data talks 40% of the companies that are
data talks 40% of the companies that are
data talks 40% of the companies that are leading their industry today will go
leading their industry today will go
leading their industry today will go extinct in the next 15 years let that
extinct in the next 15 years let that
extinct in the next 15 years let that sink in for a moment so 40% of the
sink in for a moment so 40% of the
sink in for a moment so 40% of the companies leaving their industry today
companies leaving their industry today
companies leaving their industry today will go extinct in the next 15 years and
will go extinct in the next 15 years and
will go extinct in the next 15 years and the most important reason for that human
the most important reason for that human
the most important reason for that human bias is the biggest impediment for
bias is the biggest impediment for
bias is the biggest impediment for growth another fact point we know that
growth another fact point we know that
growth another fact point we know that in the United States four percent of the
in the United States four percent of the
in the United States four percent of the jobs goes unfilled because of a skills
jobs goes unfilled because of a skills
jobs goes unfilled because of a skills mismatch now if we take that number and
mismatch now if we take that number and
mismatch now if we take that number and we applied it globally that means that
we applied it globally that means that
we applied it globally that means that 200 million jobs go unfilled every year
200 million jobs go unfilled every year
200 million jobs go unfilled every year or to visualize for you that means two
or to visualize for you that means two
or to visualize for you that means two and a half times the population of
and a half times the population of
and a half times the population of Germany so ladies and gentlemen it is
Germany so ladies and gentlemen it is
Germany so ladies and gentlemen it is time it is time for us to look for new
time it is time for us to look for new
time it is time for us to look for new ways to identify the right candidate for
ways to identify the right candidate for
ways to identify the right candidate for the right job it is time for us to get
the right job it is time for us to get
the right job it is time for us to get rid of human bias and it is time for us
rid of human bias and it is time for us
rid of human bias and it is time for us to embrace robots to help us make better
to embrace robots to help us make better
to embrace robots to help us make better decisions for ourselves for companies
decisions for ourselves for companies
decisions for ourselves for companies and for society and today I will tell
and for society and today I will tell
and for society and today I will tell you how but let me first explain to you
you how but let me first explain to you
you how but let me first explain to you what artificial intelligence or robots
what artificial intelligence or robots
what artificial intelligence or robots actually are artificial intelligence
actually are artificial intelligence
actually are artificial intelligence it’s like a computer brain and like a
it’s like a computer brain and like a
it’s like a computer brain and like a human brain it can read listen interpret
human brain it can read listen interpret
human brain it can read listen interpret data to come to conclusions the
data to come to conclusions the
data to come to conclusions the difference between a computer brain and
difference between a computer brain and
difference between a computer brain and the human brain is that the computer
the human brain is that the computer
the human brain is that the computer brain can process data in orders of
brain can process data in orders of
brain can process data in orders of magnitude larger than a human brain
magnitude larger than a human brain
magnitude larger than a human brain possibly again much more data much
possibly again much more data much
possibly again much more data much faster
faster
faster without getting tired or being biased
without getting tired or being biased
without getting tired or being biased from our research we see that language
from our research we see that language
from our research we see that language the way we speak has a very high
the way we speak has a very high
the way we speak has a very high correlation with what we do our
correlation with what we do our
correlation with what we do our behaviors the beauty of language is that
behaviors the beauty of language is that
behaviors the beauty of language is that it’s subconsciously produced in our
it’s subconsciously produced in our
it’s subconsciously produced in our brains so it can be seen as a unique
brains so it can be seen as a unique
brains so it can be seen as a unique fingerprint of who we are
fingerprint of who we are
fingerprint of who we are imagine the iceberg we can see the 10%
imagine the iceberg we can see the 10%
imagine the iceberg we can see the 10% above the water but that what is behind
above the water but that what is behind
above the water but that what is behind under the water we don’t know how big or
under the water we don’t know how big or
under the water we don’t know how big or beautiful that particular piece is now
beautiful that particular piece is now
beautiful that particular piece is now that is exactly what artificial
that is exactly what artificial
that is exactly what artificial intelligence can do it can reveal the
intelligence can do it can reveal the
intelligence can do it can reveal the 90% under the water that we can’t
90% under the water that we can’t
90% under the water that we can’t possibly see by looking at someone or
possibly see by looking at someone or
possibly see by looking at someone or listening to someone front running
listening to someone front running
listening to someone front running companies in China today are applying
companies in China today are applying
companies in China today are applying this technology to analyze people’s
this technology to analyze people’s
this technology to analyze people’s language and predict who fits their
language and predict who fits their
language and predict who fits their company or job best at a cosmetics
company or job best at a cosmetics
company or job best at a cosmetics company here in China recruiters were
company here in China recruiters were
company here in China recruiters were working through tonight to screen
working through tonight to screen
working through tonight to screen thousands of resume for a handful of
thousands of resume for a handful of
thousands of resume for a handful of positions we feel that we’re missing out
positions we feel that we’re missing out
positions we feel that we’re missing out on great people their recruitment
on great people their recruitment
on great people their recruitment director said we look for a university
director said we look for a university
director said we look for a university ranking their major whether they did an
ranking their major whether they did an
ranking their major whether they did an internship with our competitors it’s all
internship with our competitors it’s all
internship with our competitors it’s all we have until we meet them and we can’t
we have until we meet them and we can’t
we have until we meet them and we can’t possibly meet them all it’s all they had
possibly meet them all it’s all they had
possibly meet them all it’s all they had until they started to apply artificial
until they started to apply artificial
until they started to apply artificial intelligence to identify the right hire
intelligence to identify the right hire
intelligence to identify the right hire and when they embrace artificial
and when they embrace artificial
and when they embrace artificial intelligence this is how they did it
intelligence this is how they did it
intelligence this is how they did it they replaced a CV screening process and
they replaced a CV screening process and
they replaced a CV screening process and telephone interviews with a digital
telephone interviews with a digital
telephone interviews with a digital interview a robot to select and screen
interview a robot to select and screen
interview a robot to select and screen candidates
candidates
candidates I hear you thinking a robot a machine
I hear you thinking a robot a machine
I hear you thinking a robot a machine selecting candidates yes
selecting candidates yes
selecting candidates yes and we’re not talking 2050 here this
and we’re not talking 2050 here this
and we’re not talking 2050 here this already happened two years ago the
already happened two years ago the
already happened two years ago the company interviewed tens of thousands of
company interviewed tens of thousands of
company interviewed tens of thousands of candidates through their mobile phone
candidates through their mobile phone
candidates through their mobile phone asking them questions that they would
asking them questions that they would
asking them questions that they would normally ask in a face-to-face interview
normally ask in a face-to-face interview
normally ask in a face-to-face interview what makes you a great leader how do you
what makes you a great leader how do you
what makes you a great leader how do you get people to work together what is your
get people to work together what is your
get people to work together what is your motivation to come and work for us and
motivation to come and work for us and
motivation to come and work for us and the beauty of it was that all these
the beauty of it was that all these
the beauty of it was that all these candidates could share our own
candidates could share our own
candidates could share our own experience in the answers and ideas in
experience in the answers and ideas in
experience in the answers and ideas in their own unique language and wording
their own unique language and wording
their own unique language and wording now the algorithms would take in these
now the algorithms would take in these
now the algorithms would take in these answers and compare them to everything
answers and compare them to everything
answers and compare them to everything that they’ve read and learned over time
that they’ve read and learned over time
that they’ve read and learned over time as a benchmark you have to imagine this
as a benchmark you have to imagine this
as a benchmark you have to imagine this great leaders talk differently they’re
great leaders talk differently they’re
great leaders talk differently they’re not so great leaders engineers use
not so great leaders engineers use
not so great leaders engineers use different language than commercial
different language than commercial
different language than commercial people do the computer is able to
people do the computer is able to
people do the computer is able to identify our expressions in the words
identify our expressions in the words
identify our expressions in the words related to those two are likely
related to those two are likely
related to those two are likely behaviors and personality traits it
behaviors and personality traits it
behaviors and personality traits it takes us humans a lifetime to do this
takes us humans a lifetime to do this
takes us humans a lifetime to do this and then still our judgment is depending
and then still our judgment is depending
and then still our judgment is depending on how we feel whether we are tired had
on how we feel whether we are tired had
on how we feel whether we are tired had a fight with our husbands that morning
a fight with our husbands that morning
a fight with our husbands that morning or our having our periods I have not yet
or our having our periods I have not yet
or our having our periods I have not yet seen a computer having those issues
seen a computer having those issues
seen a computer having those issues so I hear you’re thinking and was it
so I hear you’re thinking and was it
so I hear you’re thinking and was it better did it lead to more diverse
better did it lead to more diverse
better did it lead to more diverse hiring where these people more motivated
hiring where these people more motivated
hiring where these people more motivated one-third of the candidates selected by
one-third of the candidates selected by
one-third of the candidates selected by the Machine came from different
the Machine came from different
the Machine came from different backgrounds than in previous years these
backgrounds than in previous years these
backgrounds than in previous years these candidates would have been screened out
candidates would have been screened out
candidates would have been screened out by a human selection process following
by a human selection process following
by a human selection process following these candidates throughout the first
these candidates throughout the first
these candidates throughout the first year of their employment hiring managers
year of their employment hiring managers
year of their employment hiring managers indicated that they performed better
indicated that they performed better
indicated that they performed better than average fewer candidates left their
than average fewer candidates left their
than average fewer candidates left their job which was seen as an indicator for
job which was seen as an indicator for
job which was seen as an indicator for motivation
motivation
motivation now what about time you remember me
now what about time you remember me
now what about time you remember me being in my seventh round interview this
being in my seventh round interview this
being in my seventh round interview this time the computers instantly ranked
time the computers instantly ranked
time the computers instantly ranked candidates which gave HR any opportunity
candidates which gave HR any opportunity
candidates which gave HR any opportunity to if faster feedback to the candidate
to if faster feedback to the candidate
to if faster feedback to the candidate and save time in the process ladies and
and save time in the process ladies and
and save time in the process ladies and gentlemen exciting times are ahead of us
gentlemen exciting times are ahead of us
gentlemen exciting times are ahead of us let me paint the picture of the future
let me paint the picture of the future
let me paint the picture of the future for you job seekers this is coming your
for you job seekers this is coming your
for you job seekers this is coming your way imagine after a hard day of work one
way imagine after a hard day of work one
way imagine after a hard day of work one of them many you take subway line 10
of them many you take subway line 10
of them many you take subway line 10 back home and while cruising through the
back home and while cruising through the
back home and while cruising through the city your HR bot starts talking to you
city your HR bot starts talking to you
city your HR bot starts talking to you how was your day and while you chat
how was your day and while you chat
how was your day and while you chat along to board us what do you what are
along to board us what do you what are
along to board us what do you what are you excited about what kind of job would
you excited about what kind of job would
you excited about what kind of job would you actually like and based on your
you actually like and based on your
you actually like and based on your answers your facial expressions
answers your facial expressions
answers your facial expressions your tone of voice the HR boat starts
your tone of voice the HR boat starts
your tone of voice the HR boat starts working and when you arrive back home
working and when you arrive back home
working and when you arrive back home and you put the key in your apartment or
and you put the key in your apartment or
and you put the key in your apartment or your mobile phone has already received
your mobile phone has already received
your mobile phone has already received three job offers perfectly matching your
three job offers perfectly matching your
three job offers perfectly matching your skills and motivation by bad job welcome
skills and motivation by bad job welcome
skills and motivation by bad job welcome future HR and hiring managers this is
future HR and hiring managers this is
future HR and hiring managers this is coming your way
coming your way
coming your way imagine your talent bond creates
imagine your talent bond creates
imagine your talent bond creates blueprints of successful behaviors in
blueprints of successful behaviors in
blueprints of successful behaviors in your organization analyzing your
your organization analyzing your
your organization analyzing your employees
employees
employees language on a daily basis it will
language on a daily basis it will
language on a daily basis it will perfectly indicate who will be great
perfectly indicate who will be great
perfectly indicate who will be great leaders great salespeople who will be
leaders great salespeople who will be
leaders great salespeople who will be compliant or more of a risk taker and
compliant or more of a risk taker and
compliant or more of a risk taker and every day the algorithms will screen
every day the algorithms will screen
every day the algorithms will screen thousands of potential candidates
thousands of potential candidates
thousands of potential candidates identifying who might be a great fit to
identifying who might be a great fit to
identifying who might be a great fit to your company artificial intelligence
your company artificial intelligence
your company artificial intelligence will help us to only spend time on the
will help us to only spend time on the
will help us to only spend time on the right candidates robots are coming and I
right candidates robots are coming and I
right candidates robots are coming and I believe they’re not scary or impersonal
believe they’re not scary or impersonal
believe they’re not scary or impersonal but exactly the opposite artificial
but exactly the opposite artificial
but exactly the opposite artificial intelligence will help us to reveal
intelligence will help us to reveal
intelligence will help us to reveal meaningful things about ourselves and
meaningful things about ourselves and
meaningful things about ourselves and others artificial intelligence will help
others artificial intelligence will help
others artificial intelligence will help us to make better decisions based on
us to make better decisions based on
us to make better decisions based on information we do not have today now
information we do not have today now
information we do not have today now critics will say you know robots are not
critics will say you know robots are not
critics will say you know robots are not ready they will say the technology is
ready they will say the technology is
ready they will say the technology is early stage but let me remind you that
early stage but let me remind you that
early stage but let me remind you that the methods we use today are far from
the methods we use today are far from
the methods we use today are far from perfect we have an opportunity to
perfect we have an opportunity to
perfect we have an opportunity to prepare for a better world we are at a
prepare for a better world we are at a
prepare for a better world we are at a crossroad you are at a crossroad and we
crossroad you are at a crossroad and we
crossroad you are at a crossroad and we have an important decision to make do we
have an important decision to make do we
have an important decision to make do we stick to our old habits then we stick to
stick to our old habits then we stick to
stick to our old habits then we stick to old methods with the same bad results or
old methods with the same bad results or
old methods with the same bad results or do we go for change for innovation for
do we go for change for innovation for
do we go for change for innovation for more fairness if you say yes we need you
more fairness if you say yes we need you
more fairness if you say yes we need you to be bold we need you to step out of
to be bold we need you to step out of
to be bold we need you to step out of your comfort zone and we need you to
your comfort zone and we need you to
your comfort zone and we need you to experiment but the upward will be huge I
experiment but the upward will be huge I
experiment but the upward will be huge I am sure that when our kids with all
am sure that when our kids with all
am sure that when our kids with all their different talents enter the job
their different talents enter the job
their different talents enter the job markets that they will be looked upon
markets that they will be looked upon
markets that they will be looked upon without any sort of bias that it doesn’t
without any sort of bias that it doesn’t
without any sort of bias that it doesn’t matter anymore what family we were born
matter anymore what family we were born
matter anymore what family we were born in or what education we finalized like
in or what education we finalized like
in or what education we finalized like it did for me 15 years ago but at
it did for me 15 years ago but at
it did for me 15 years ago but at artificial intelligence will help us to
artificial intelligence will help us to
artificial intelligence will help us to find our better parts that artificial
find our better parts that artificial
find our better parts that artificial intelligence
intelligence
intelligence will lead to more equality at last thank
will lead to more equality at last thank
will lead to more equality at last thank you
you
you [Applause]
”
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