GEF Madrid 2024: Globalising Education with AI
Summary
TLDRIn a thought-provoking panel discussion, experts from diverse sectors explore the potential of AI in revolutionizing global education. They address challenges like digital divides and the need for critical thinking, while highlighting AI's capacity to personalize learning and foster cross-cultural understanding. The conversation underscores the importance of equitable access to technology and the ethical use of AI in enhancing educational outcomes for all.
Takeaways
- 🌐 The panel discussion revolves around the impact of AI on global collaboration and cross-cultural understanding in education, highlighting the diverse backgrounds of the speakers.
- 🏫 AI is seen as a potential force for transformation in education, especially in addressing scalability and adapting to different cultures and socioeconomic groups.
- 👨🏫 There is a debate on the role of AI in personalizing education content and experience, with the potential to reach geographically and economically diverse populations.
- 🔍 The discussion touches on the challenges of AI in education, including the digital divide, ethical use of data, and the need for teacher training.
- 🎓 The founder of Minerva Project emphasizes the importance of rethinking the current educational model, which is more focused on certification than education.
- 📚 The founder of Znotes discusses the platform's role in empowering students to become active creators and proponents in their learning process through technology.
- 👥 A Brookings Council member points out the foundational need for digital literacy and critical thinking skills before advanced AI integration.
- 💡 An optimistic view is presented that AI could potentially improve education in under-resourced areas by providing more personalized learning experiences.
- 🔑 The importance of equal access to technology for leveling the educational playing field is emphasized, with the acknowledgment of the current digital divide.
- 🤖 Concerns are raised about the potential for AI to exacerbate existing inequalities if not implemented thoughtfully and equitably.
- 🌟 The panel concludes with a call to action for humanity to decide the future direction of AI in education, focusing on inclusion, efficiency, and ethical considerations.
Q & A
What is the main focus of the discussion in the provided script?
-The main focus of the discussion is how AI can foster global collaboration and cross-cultural understanding, especially in the context of education.
What are some of the backgrounds of the speakers in the discussion?
-The speakers have diverse backgrounds including the private sector, public sector, early-stage startups, scale-ups, mature companies, and NGOs.
What are some of the challenges mentioned in the traditional education system without AI?
-Challenges include scalability, reaching different geographies, accommodating different cultures, and addressing various socio-economic groups.
How does AI have the potential to transform education, according to the discussion?
-AI has the potential to personalize education content and experience, making it adaptable to different geographies, socio-economic statuses, and cultures.
Who is Enrique, and what is his background?
-Enrique, also known as Kiri, is a senior partner with 20+ years at McKinsey, with experience working in 30 countries globally, focusing on telecom, media, tech, and education in Spain and Portugal. He also has a passion for education and has teaching experience at various universities.
What unique perspective does Ben Nelson bring to the discussion?
-Ben Nelson is the founder of the Minerva Project, which focuses on reforming higher education for a post-AI world. He emphasizes that their approach was futuristic, starting in 2013, and discusses the need for educational reform to align with the advancements in AI.
What role does digital literacy play in the context of AI and education, as mentioned in the discussion?
-Digital literacy is crucial for accessing and effectively using AI tools in education, especially for disadvantaged populations such as displaced refugees who may not be digital natives.
What is a key concern regarding the use of AI in education highlighted by Mark?
-Mark highlights the concern of AI interacting with children and collecting data without full control by teachers, which could impact critical thinking and how data is used in the future for decisions like employment or insurance.
How does AI already play a role in education, according to the discussion?
-AI is already being used by students for various purposes, such as using chatbots for writing papers and using platforms like TikTok for learning and information. Institutions are catching up to these trends.
What are some potential barriers to scaling AI in education mentioned in the discussion?
-Barriers include the current educational institutions' focus on certification rather than actual education, digital divide issues, and ensuring equitable access to AI technology and resources.
Outlines
😀 Introduction to Diverse Panel on AI in Global Education
The script begins with the moderator expressing honor in leading a diverse panel of speakers from various backgrounds including private and public sectors, startups, mature companies, and NGOs. The focus is on understanding AI's role in fostering global collaboration and cross-cultural understanding. The moderator, Enrique Gonal, introduces himself as a Senior Partner at McKinsey with a passion for education and technology, having worked in multiple countries and taught at various institutions including MIT and a business school.
🌟 Panelists' Backgrounds and Perspectives on AI in Education
Each panelist introduces themselves and their work related to AI and education. Ben Nelson, founder of Minerva Project, discusses higher education reform in a post-AI world. An edtech startup founder addresses educational inequalities through free resources. Andrew Aron, board member of various organizations, talks about using AI for youth education and job readiness. Magdalena, from the Spanish Global Foundation, discusses improving education in vulnerable environments. The moderator highlights the impressive work of the panelists and the importance of their mission.
💡 Discussion on AI's Potential to Bridge Educational Divides
The panel delves into how AI can benefit individuals and collective groups regardless of economic status or geographic location. They discuss the mainstream discussion about AI's impact on education and the challenges of scalability and cultural adaptation. The conversation touches on the hope that AI can transform education, personalizing content and experience for diverse groups, and the importance of considering unconnected populations in the benefits of AI.
🔍 Exploring AI's Role in Education and Socioeconomic Disparities
The script presents a debate on the accessibility and impact of AI in education, highlighting the potential for AI to exacerbate existing socioeconomic disparities. It discusses the disproportionate access to AI tools by the wealthy and the challenges in ensuring equitable opportunities. The panelists share anecdotes and data on the effectiveness of educational tools and the potential for AI to offer personalized learning experiences.
🤔 Critical Considerations for AI Integration in Education
The panelists express the need for critical thinking in the integration of AI into education. They discuss the potential risks, such as the loss of critical skills and the replication of existing hierarchies within AI technology. The conversation emphasizes the importance of maintaining control, assessing risks, and considering the long-term implications of AI on educational outcomes.
🚀 Overcoming Barriers to Scale AI in Education Globally
The discussion shifts to the barriers that prevent the scaling of AI in education. Panelists consider the role of educational institutions, the certification versus education divide, and the need for realignment in the educational system to embrace AI effectively. They also touch on the importance of understanding AI's full value and the potential for it to increase workloads in education.
🌐 Addressing the Digital Divide and Data Representation in AI
The panelists recognize the digital divide as a critical issue before implementing AI globally. They discuss the importance of data representation in AI tools, noting that current data may be biased towards specific socioeconomic statuses and cultures. The conversation emphasizes the need for diverse data representation to ensure AI tools are inclusive and do not exacerbate existing barriers.
🏆 Final Thoughts on AI's Impact and the Future of Education
In conclusion, the panelists share their final thoughts, expressing a mix of optimism and caution regarding AI's impact on education. They highlight the potential for AI to improve communication and writing skills but also stress the importance of maintaining the human element in reasoning and analysis. The panel concludes with a call for critical assessment, equal access to technology, and the importance of deciding the future direction of AI in education.
Mindmap
Keywords
💡AI (Artificial Intelligence)
💡Global Collaboration
💡Cross-cultural Understanding
💡Educational Inequality
💡Personalization
💡Scalability
💡Digital Natives
💡Educational Institutions
💡Digital Divide
💡Generative AI
💡Critical Thinking
Highlights
The discussion emphasizes the potential of AI to foster global collaboration and cross-cultural understanding in education.
Participants represent diverse backgrounds including private and public sectors, startups, and NGOs, indicating a broad perspective on AI in education.
AI is seen as a transformative force with the capability to address scalability and cultural differences in education.
The role of AI in personalizing education content and experience is highlighted as a key area of discussion.
Challenges in traditional education models are acknowledged, such as reaching different geographies and socioeconomic groups.
The importance of education in an interconnected world is underscored, with AI as a potential multiplier for positive change.
The panel includes experts from various fields such as law, tech startups, and education reform, offering a multidisciplinary view on AI in education.
AI's potential to democratize education by overcoming geographical and cultural barriers is discussed.
The digital divide and the need for equal access to technology are identified as significant barriers to AI's impact on education.
Ethical considerations and the responsible use of AI in education are raised as important factors for successful integration.
The role of AI in enhancing the quality of education in vulnerable environments is explored, with case studies from UNESCO.
The potential of AI to increase efficiency in education is contrasted with the risk of deskilling educators and students.
The discussion points to the need for critical thinking in evaluating AI's role in education and its impact on learning outcomes.
The importance of data representation in AI tools is highlighted, with concerns about potential biases based on available data.
The panel agrees on the necessity of addressing the digital divide as a prerequisite for AI integration in education globally.
The closing remarks call for a critical and optimistic approach to AI in education, emphasizing the need for investment and inclusion.
Transcripts
you know it's it's a you know an honor
obviously to to moderate you know this
group of of people we have five
distinctive speakers plus a couple of
additional guest speak you know plus you
know a big audience you know on
streaming that actually is is listening
to us right um uh and the backgrounds
you know you will introduce yourself
briefly but it's quite an interesting
group of people here because we have
backgrounds from private sector from
public sector we have background you
know from early
stages startups scale UPS uh maturity
companies NGO so we cover a bit broad
spectrum of people and we hope you know
with this
conversation uh that you are going to
help us you know to understand how AI is
uh going to Foster you know basically
you know
Global collaboration and you know
crosscultural understanding right so
that's basically the basis of of of all
conversation so a bit of context that of
course we we know that for the people on
on
streaming uh in an quite
increasingly International you know uh
environment in which we are we are
moving on you know a much more
interconnected World obviously education
is a core and center and it's going to
play quite a pivotal role in the saving
of the future right and it's because of
this interconnectivity of course this is
going to take you know you know
multiplier effect what I I I I like to
to say right um what if we think about
the
traditional education meaning without a
ey if I may H there has been quite a lot
of challenges right on how to address
the scalability of the model how to go
into new geographies different
geographies different cultures different
socioeconomical uh you know groups of
people right and we hope and I think
this group hes have this hope that AI
could be really the true Force to make
this transformation possible right and
that's a bit of the the concept the
content I also understand a bit from
some of you on on the previous uh
debates that that we have that you're
going to talk also a little bit about
how AI can personalize not only the
content of the education but also the
experience and bring this to different
geographers different socio economical
you know uh statuses different uh
cultures and adapt it all right which is
also you know quite quite unique so with
all that in mind you know let's start
maybe a bit of first round of knowing
who is on the table who is here today
with us and and then we move up to
questions maybe I I can start uh myself
and then we can maybe do a bit of a
round so I'm Enrique gonal many people
call me Kiri so feelit free Enrique or
Kiri
and Senior partner 20 plus years at
McKenzie have a bit of a global picture
having work in 30 30 countries uh
globally I Le Telecom Media Tech and
education in Iberia Spain and Portugal
so that's part of the reason I'm here
but to be honest the main reason I'm
here is have a passion of location I
really believe that's the motor of
change and I combine this McKenzie role
with uh you know some teaching
experience so I I was teacher actually
and someone mentioned that as the kids
an e so here it's a University
Engineering University I teach in the
past then I teach at
MIT um MBA then not anymore now I teach
here in I business school and un so as
you see you know I also have a bit of a
passion so I want to really you know get
a bit of your brains and you know power
to to learn from you guys right so with
that maybe you know we can start with a
bit of an introduction h mark do you
want to start and then Ben and we
forward um well I'll say hello you I
think know me as the founder of the
center for AI and digital policy I have
um two other hats at least uh one I'm
also a professor at Georgetown law where
I teach uh
gdpr and I told my uh students this
semester that if they used generative AI
to write their papers I would use
generative AI to grade them
so this was our
deal um and you know as I mentioned also
I'm a chess player but also a chess
instructor and so I'm interested in in
the role of uh AI particularly in
Scholastic environments where you know
people have great exposure to
Technologies and we can see you know a
lot of Rapid progress but there also
some
costs
so I'm Ben Nelson I'm the founder of the
manura project which initially built
manura University and uh now builds
manura programs all over the world we're
focused on
reforming uh higher education in uh for
a post aai world of course we we assumed
the post AI world would happen in 2013
uh not in 2023 so we were a little bit
early to the game but that just means
that we we live in the
future hi everyone my name is a I am the
founder of an ettech startup uh called
znotes znotes is addressing inequalities
in education especially at Secondary
School examinations and we do so by
providing free educational resources and
peer learning support that has benefited
over 5 million students and teachers in
190
countries amazing hi I'm um Andrew Aron
crant I'm here in my board capacity um
wearing several hats um one I'm on the
Brookings Council on universal education
um also I'm on The Advisory Board of the
International Rescue committee so a
large humanitarian Refugee organization
that does education um but more
specifically with AI I'm also Board of a
smaller Teen um youth Refugee nonprofit
that's providing a long-term holistic
Solution that's leveraging Cutting Edge
ideas like design thinking oriented
curriculum um sort of at the
intersection of Youth education
well-being and job Readiness and we
started with digital literacy we
expanded into entrepreneurship and
Leadership and now have 300 hours of
deep curriculum um and just recently
piloted several um modules on
AI hello my name is Magdalen I am the
general manager of the Spanish Global
foundation called profuturo is dedicated
to education to improve education and to
provide quality education in very
vulnerable environments in in Latin
America um Africa and Asia we have
reached uh more than 4 million students
we dedicate ourselves to um primary
schools and teachers to train teachers
and how to acquire
um pedagogical Innovation using
technology and how to apply that in the
classroom in those unconnected
environments using technology and we
have trained more than 1 million
teachers we were founded in
2016 and we are the combination of two
big Spanish foundations from
telica Fantastic wow so quite quite
impressive what you five are doing and
especially the purpose of what you are
doing right so fantastic uh you know
expertise so let let's start maybe with
the first question that I think appli to
most of you and maybe Malena you you can
start and then maybe we open the mics to
some of you to to jump in but feel free
to you know open and talk you know at
any point in time the first one uh goes
ear to the point of how
can um AI benefit individuals and
Collective PE you know groups of people
independent of the economic situation
geographic location a status how can we
make it happen so uh from from our
experience I mean the discussion about
AI at present is mainst stream
everybody's talking about AI about
technology about the impact in education
if if teachers are going to disappear if
course skills for Teacher are going to
disappear and even media and and policy
makers are are are asking us to ban H
children from using technology and uh we
don't hear very much about the
opportunity that is for the for the most
part for biggest part of the world that
is really vulnerable in this sense so
most of the world is not connected has
not access to all this technology and in
fact technology is the is the is the is
the only door they have to to to
education so we have to uh to take into
consider to to understand how to uh have
all this unconnected population also
sharing from the benefits of AI and and
technology so in this sense from this P
perspective as a social project that's
what we are and we take care of this
vulnerable environments we have produced
U Already in
2019 um a report together with UNESCO uh
trying to analyze some case studies on
how to take profit of of data improving
quality and
inclusive education inner in vulnerable
environments in the world what to be
considered and the challenges of those
of that uh research were mainly to make
sure that uh that there's access to data
uh in in all uh you know in all
countries in the world that there there
are policies that take care of of of the
introduction of the development of AI in
education in in in the different
countries that there is an there is
ethic and transparency in the use of
data and that teachers are trained in
how to be getting power in how to use AI
so all those challenges there are
already uh that was produced like before
all this generative AI discussion but I
think that they are still h on the table
and uh we have also produced together
with o eii it's it's an organization for
the io American states uh in 2023 and a
report about what are H what what is the
situation of AI in Latin America and the
conclusions of that report were that in
fact H the population teachers the
education Community H they they they
understood that um AI was a was a a
trending topic but very far from them so
really not take taking part of their
day-to-day activity and that they were
very positive about the about the
benefits that AI uh and data management
in education could bring uh to improve
their education
systems I don't know if someone wants to
follow or I can point out someone you
prefer I can I can jump in pleas um and
I want to take a a slightly different
angle to this so for the whole of the
last couple hours of the today we've
been talking about Ai and education as
if something we need to build um I will
argue that AI is already in education uh
because students are choosing to use Ai
and Technology whether they given
permission or not Mark as you said your
students are going to have access to
chat GPT and they're it's their choice
whether they use technology in their in
their in their learning or not so in
many ways uh institutions are actually
catching up to what digital natives are
already doing um and I want want to talk
a little bit more about how technology
can can actually break down barriers
especially when we talk about
geographical and cultural barriers um
that is very much something that I I I
witnessed in znotes and and developing
znotes and what it it does right
now our education system considers
students as passive consumers that they
need to be given stuff but do not
realize the the agency that they can
have if we if we do Empower them so at
the heart of what zenos does is we give
agencies to young people to not just be
these passive consumers but active
creators and proponents to the system
themselves with technology we can train
them we can upskill them and we can
create platforms which allow their work
and their knowledge and their
understanding to be accessible to to
students all over the world um and in
doing so so through xenos we provide we
get these high Achievers to create
learning resources which are available
for free to millions of students all
over the world but at the same time the
sense of community that's drawn by these
young people who are all fighting this
in in our case this battle against this
monster of uh standardized exams they
create real relationships online um and
this peer learning community that that
we've done through znotes but there's so
many different instances across the
internet shows that young people are
more uh globally citizens Global
Citizens and they're globally minded
they're more aware of the Social
Challenges that each other face in
different contexts so I think technology
has already played a part and young
people especially digital natives have
leveraged those experiences I can I can
give you a very concrete example
uh and this also shows how I'm getting
aged out of of young people as well uh I
I if you ask uh j z right now uh a
question or a topic that you don't
really understand like um you're going
and traveling to a different city most
of our reactions will be to go to Google
look at Trip Advisor look at the top 10
best things to do guess guess what a
genen z will do they'll go to Tik Tok
they'll watch 20 res or 10 20 Tik toks
and tell you like oh I figured out that
my favorite influencer is going here
here and here and doing these things
there's so much content knowledge and
value available across a technological
ecosystem um I think the work that
profuturo does is very very important
which is about bridging that digital
divide but I'm at the heart of it you
know technolog is already leveling the
playing field we just need to leverage
it and make sure it's accessible to
everyone so I'll I'll give a uh two
anecdotes one very
pessimistic and one somewhat optimistic
for perverse
reasons um
I I think that on on the pessimistic
side unfortunately tools that are
available uh even when they're available
broadly acre to the wealthy at
disproportionate rates and there's
practically nothing we can do about it
um to give you some
perspective uh in the United States
students take
SATs now at varying rates but they're
introducing SATs quite a bit to get into
college
just curious if you little poll to our
our fellow
panelists if you're born into the Top
20th uh percentile or top quintile top
20% of the socioeconomic distribution
how much more likely are you to have a
1300 or above on the SAT which is
considered the the cut off to get into a
good University how much more likely are
you to have a 1300 or above uh SAT score
than if you were born into the
bottom quti 90% 90% more likely any
other three times more lik yeah how much
more five times more like five times oh
100 times I'm going to go with much
more 24 times wow you are 24 times more
likely to have a 1300 SAT score more
Born Into the top 20 percenti ver the
top bottom 20% I will tell you you are
not 20 24 times more likely to be hyper
intelligent if you were born in the top
20 versus the bottom 20 is completely uh
bastardized uh form of assessment and
unfortunately many of these tools are
crew to um so I would imagine many of
the AI tools that are going to be
developed will unfortunately acrew to
wealthy students however there is a a
slight Silver Lining um different kind
of statistic um there was a uh an
internal study not published uh which I
got my hands on which which is always
the best kind uh on a very prestigious
private boarding school in the United
States it looked at 40 years worth of
data on incoming SSAT scores versus SAT
scores and the beauty of those two
things is that you are measured as a
percentile of uh on how you rank on math
and English Etc compared to the rest of
the population so again this is a very
very prestigious boarding school spends
an enormous amount of money per student
on their education what do you think is
the incremental benefit meaning what is
the percentage Improvement that a
student made uh going out versus coming
in on on based on those
resources I'm going with hardly
any the answer is the answer is not
hardly any it is zero zero wow Zero
Effect yeah pretty close pretty close
but zero there's actual zero incremental
benefit absolutely none zero wow to one
of the fanciest boarding schools and
it's true of course of all boarding
schools now what does that mean it means
that the current schooling model just
simply doesn't work however the elite
school
even though all of these apps and things
ACR to Rich students very quickly the
elite schools are not going to change
their model poor schools however that
don't have access to teachers the
teachers actually are delighted to do
less and less work etc they're going to
potentially Embrace AI tools to actually
give personalized education to their
students much faster so it could be that
there will be a perverse uh uh element
where because schools are under resour
in poor neighborhoods they may actually
get dramatically better education
because a machine almost certainly
teaches better than a
human okay I was going to say I was just
going to build on your first point um
with respect to probably one of the most
disadvantaged populations which is
displaced refugees and I think it
reflects a lot of the themes we've heard
at the conference and also sort of begs
a question about your point about
digital natives because our experience
in the field with Refugee teams is they
are not at all digital Natives and that
what we all have to remember is the
context in terms of making sure that AI
is accessible and and has equal
opportunity and so you have to start our
experience shows with the foundational
building blocks first maybe with digital
literacy um digital skills and media
literacy so they even know what the
internet is and how to use it and how to
interpret those results which are much
more simplistic I sort of think of it as
like the the two-dimensional version
then adding on again another theme here
is all those um some of them was calling
the soft skills power skills so those
critical thinking skills all those other
things that give you judgment and
reasoning again to interpret things and
then and only then is the 3D or even
four-dimensional idea of AI the kind of
thing that those most disadvantaged
populations can access and so I think
it's just important I think a lot of
times Ai and the developers the Silicon
Valley folks think of it as a technology
and access is all you need but there's
all these other sort of fundamental
skills that have to be there for
everyone to really become to Natives and
to be able to get the
benefits so um let me Begin by saying
actually my my wife is a is a teacher in
Washington DC which is a difficult place
to be a teacher um and I think we all
have this innate Instinct that we want
to uplift people and provide them with
the necessary
resources and we think about schools and
we think about books at least we used to
think about books
we think about a decent playing field we
think about good teachers uh we think
about access to the internet um these
are all I would say educational
resources and our instinct is to ensure
that they are broadly and fairly
distributed which I think is a very good
intuition I'd like to suggest that with
AI there's something a bit more subtle
going on that we need to be aware of
this is a technology that interacts with
children and collects data from children
and directs
children sometimes without the full
control of the teacher who's responsible
for the success of the children and to
me this creates some real challenges
because you see on the one hand we begin
with this very positive Instinct that AI
is this fantastic thing and everybody is
investing money and countries want to
lead and we want to make sure no one is
left behind but I feel that in the same
moment we need to maintain probably the
most critical thing that education
provides to us and that's critical
thinking right what type of data is
being taken from our children in these
educational environments will it be used
in the future for employment decisions
or Insurance decisions is the so-called
personalized learning you know actually
proven to provide benefit or do we have
a new form of replicating hierarchy
that's simply been encoded in this
technology that everyone's so
enthusiastic about and none of this is
to say that AI doesn't offer you know
some great opportunities but I do think
particularly as leaders in the
educational field you really have a
responsibility to critically assess
to do an impact assessment prior to
deployment what do we think will happen
how do we measure success what are steps
along the way to see if we're on track
yes um and to constantly engage and I
think if that process is done well then
the outcome can be favorable but I don't
think there's any guarantee that just by
sprinkling AI on universities you know
everyone is going to be richer and
happier and live longer I think that's
magical
thinking yeah no I'm I'm an optimistic
so a lot of challenges but I I see a lot
of opportunity you know from you know
the starting point that Ben was
mentioning to you know all the
possibilities that were around here so
hopefully you know we get along all
these problems so let me let me maybe
switch GE you know assuming that we all
want this technology right uh to be for
the best right of course um
scaling uh AI is complex it's nice to
have a starting pilot nice to start
initial you know but then then scaling
is when you know when getting the all
the people to to to use it etc etc right
so my question is around okay what do
you think is the main barrier for the
technology to be able to escale across
and globalize
and maybe maybe B can
start um I actually think that the main
barrier to scale this is a little bit of
a controversial perspective is that the
certainly and in uh later on in the
education sector in secondary and
postsecondary less so in
elementary the role
of educational institutions so-called
educational institutions not to educate
it's to certif
and these are not educational
institutions and we know that because
the way that they certify their
education using the same methodology
assessments tests you administer the
same test to the same learner a few
months after the test date the learner
has forgotten 90 to 95% of what they
tested correctly there's no interest in
education whatsoever there's no
incentive to educate there's no
mechanism to educate
and
therefore if you go and you say hey
here's a tool that'll really help the
student educate and the tool to use AI
to do that would mean to increase
workload right because AI can write
papers very easily it can do all these
things so in a new reality where you had
before a term paper maybe two now you
should have
20 right and everyone should have a
quality standard that is significantly
higher than what it was before a lot
more work for the student a lot more
work for the teacher and the professor
right using of the tool in an effective
way right to get them ready for more
productive
world no one wants that students aren't
there to learn professors aren't there
to teach certainly not at higher
education right and in order to actually
scale positive impact you have to get
everybody bought in in on not only
stopping the decline in the amount of
time students spend in higher education
today students spend less than 2third
the amount of time they spent in the
1960s on their studies and they get A's
at a rate that is six times
higher they become much more efficient
so much more efficient even more
AI much more and so AI will scale when
students will use it to write their
papers and professors will use it to
grade them right but then no one will
learn anything and and that is where and
that is where it will likely scale first
because it it it
enhances the trend that's already been
going if you really want to scale it you
have to actually fix the certification
education divide you have to realign
certification in high school and
universities to M actual education
Mark I'm sure you have something to say
on the optimistic
part I'm
trying I'm going to prop chat GPT say
something optimistic um actually I'll
tell you a a funny story I have uh I
have a whole lot of AI stories oh my
gosh I'm forgetting the name of the guy
who started LinkedIn quite famous read
yeah Reed Hoffman so Reed Hoffman and I
had an interesting exchange um cuz after
chat GPT came out he rushed to publish
the first book basically a dialogue
between him and chat GPT and Reed by the
way is the ultimate optimist about all
technology um and there was in his book
a section where he asks the question um
what are some of the risks related to
the future of AI and education right
very appropriate for this is the reason
I'm pulling out the story and the answer
he got CH from chat G PT was essentially
this it is possible that Educators and
universities will not understand the
full value of chat GPT and therefore
will fail to fully deploy this wonderful
new
technology now I'm reading this chat GPT
answer bragging about how great chat GPT
is and Reed being one of the big
investors in the field telling us in his
commentary what a brilliant response
this was and I said this is not right if
you ask me you know what are some of the
risks which was the question he posed I
was thinking oh I don't know deskilling
a generation of Educators the loss of
Printed history the inability to
communicate I mean I could come up with
half a dozen
dystopias pretty quickly now I see the
colors going from your
face this was this optimistic answer
this this was not we're getting we're
getting to the optimism this is not this
is not the answer you were this is not
the answer you were looking for and I do
apologize but but I have to say in the
moment it's just kind of striking to me
this sort of interaction between chat
gpt's selfassessment you know reads
endorsement and as I keep saying the
reality to critically think by the way
in the long term for business and
Educators I think is most likely to
produce the most successful and the most
stable outcomes because if we really do
understand how the technology provides
benefit and here's where I'm optimistic
I think we have the ability to do that
then I think we will find the benefits
yeah I think we have we have to evaluate
first I we are taking for granted that
AI in education is going to be a success
and we don't really know for the moment
and when we talk about how to scate all
this we have to think that in fact I
mean there is a digital divide great
digital divide in the world and uh
they're talking about the states the USA
which is a different problem it's not
what we experience here and not what we
experience in Africa or in Latin America
so first we should we should tackle the
digital divide in the world and and then
Implement a AI generative AI I think
you're talking about all the time no
yeah I think you're you're mention
something I hear a lot about J is going
to bring the bottom to the average and I
think that's a bit you know you talking
about the top you're talking about the
bottom to the average right which well
but I think that that's an important
just to to maybe interject on that
there's a reason because in an AI
powered
world the the average really doesn't
exist anymore right you're either produ
using Ai and producing better than top
outcomes today at least in productivity
or you don't use it and you really are a
lagered and so and that so that that the
the imperative to get opportunity for
people to co- up is is going to be
pretty dramatic so AI is going to
increase the Divide dramatically so I'll
try one optimistic
thought I knew it would come about
event um so in a lot of my teaching in
our AI policy clinics and the law
schools and everything it's you know
about the ability to communicate
effectively and to write effectively
and I will say that some of the writing
tools that have been developed over the
last few years I have in mind for
example grammarly are very good at
helping people who struggle in
expressing themselves you know write
more clearly I mean we remember in the
early days when there was something
called word processing we had spelling
correction okay that was helpful and
then we had the source better words and
now we actually have tools that help
people write better which I think we
should encourage and I've told my
students you know you're welcome to do
this by the way I want to read a better
paper from you and I think it has had a
great sort of raising up effect for a
lot of people who struggle with
communication but here of course is
where we also need to draw the line
because I want the student to do the
reasoning so I would say yes grammarly
better writing chat GPT I'm not so sure
I I I want to see your thinking in your
in your analysis and I certainly don't
want to grade 20 times as many papers so
but but it's working let me just say it
is actually working in education can can
I add one small point and I was coming
back to magdalen's point around who's
actually able to access the technology
it also makes a big difference in what
actually generative AI can prompt
because the the
representation also applies to data
representation and currently the data
representation is of a very specific
socioeconomic status culture race within
within uh whatever data that's been
added at the back end of J chat gbt or
other generative AI tools so uh
alongside access we also need to make
sure that the the responses that a
generative AI tool will actually
represent the person asking it um will
it know the the Lost stories in of
certain subcontinent Asia or Africa
would it know the Legends would it know
the the the kind of this the nuances of
that culture and sometimes and
especially right now you even even if
you experiment right now with certain
kind of geopolitical questions the
responses you get are heavily biased or
Tilted because of the data that's
available and so I think the data
representation is also another big Point
um to make sure that the barriers are
not
exacerbated maybe maybe M you want to
add on this Emerging Markets topic right
don't how how you can you know take out
some barriers you know thanks to
AI some barriers I mean because I don't
we we're just discussing here about
generative Ai and uh and my AI is really
based on the data available to take
decisions to improve the system and uh
and to to to decrease the the the
administrative work for teachers and and
help them uh uh teach better and and and
and analyze exactly what what what they
analyze better what what are the tools
they have to improve uh teacher learning
the people's learning so not NE I mean
AI has been on the table for for many
years it's not it's not synonymous no Ai
and generative AI so we are all talking
right now it seems to me that we are
just discussing about about generative
Ai and in fact AI is a is a very good
tool to to um to analyze information no
and to predict um uh behaviors and uh
and to automatize uh replies not
necessarily generative so in the in the
Emerging Markets I think there's still a
lot to do with data Gathering data
cleaning data producing data analyzing
data and uh and um providing the tools
that the governments need to make uh
better
decisions so it's not it's not yet pert
perverted no by generative AI so I think
that in the USA I mean you are at the
different
stage we've seen the future it's a
little
scary okay so maybe before we close and
we are getting to the to the limit I
would love to ask you for one sentence
each of you uh that summarize a bit you
know what's in your thoughts and what
you hear from others maybe we can get a
round and Mark and
and well as I said I I think this can be
very beneficial but I think we need to
think critically maintain control uh
assess risk and uh look
ahead I think a uh an
enterprising country Province state
population somewhere around the world um
will leap frog with AI will
reimagine the entire educational system
from the ground up and will launch the
economic prospects of their country
dramatically
upwards I
believe if we can address the access to
technology we can level up the playing
field um the question is how do we
ensure equal access to
all and I guess I would build on that
with the challenge of thinking of
building digital citizens of the world
and I think that that takes you to many
different planes there's digital skills
there's exposure to different kinds of
thinking and there's also this concept
of citizenship which is community
building and all the sort of Social and
people side of things as well and I
think if we could build that that might
solve some of the
problems I I would add your comment
equal access I think is a key for an
optimistic view of the future on of
humanity so equal access for for
everyone maybe maybe I think it's also
with my own sentence from what I hear so
I think it's we're in a moment of
truth and a lot of
challenges but also bright opportunities
ahead of us and it's on us it's on us
Humanity to really decide where to go
and how much we need to invest you know
if we go for the good way you know of
course
inequality inclusion
efficiency you know will be
there so maybe maybe with this just tell
you thank you very very much you know
for for being here you know quite uh
inspiring uh
debate um insights and if I take some of
the quotes from this morning I think I
come with much more questions that I
came when when we start which this is
what tell us we are human right so thank
you thank you very much to to all of you
you
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