GEF Madrid 2024: Academic-Corporate Collaboration in AI
Summary
TLDRThe roundtable discussion explores the dynamic relationship between academia and corporations in the era of artificial intelligence. Panelists emphasize the importance of adapting curricula to include AI and ethical considerations, while balancing the need for foundational knowledge with industry-relevant skills. The conversation touches on the challenges of rapid technological change, the role of universities in preparing students for the future workforce, and the ethical implications of AI integration in education.
Takeaways
- 🌐 The relationship between academia and corporations in the AI era is a significant challenge, with a need for universities to adapt technology to better align with enterprise needs.
- 🤖 Technology has democratized, allowing small to medium enterprises the same access to advanced technologies as larger corporations, emphasizing the need for educational institutions to prepare students for this leveled playing field.
- 🏫 Academia should focus on embedding AI into every degree program, as AI literacy is becoming essential for all professionals, not just those in technical fields.
- 🔧 There is a gap between industry expectations and academic preparation, with a call for more coordination to ensure graduates are equipped with the necessary skills to contribute effectively in the workforce.
- 💡 The importance of 'heart skills' such as curiosity, empathy, and the ability to work in diverse environments is highlighted, suggesting these are crucial for adapting to rapid changes in the job market.
- 🛠️ Industry representatives expressed a desire for graduates with strong fundamental skills, including the ability to collaborate and adapt to new technologies, which are often lacking.
- 📈 The rapid pace of AI development requires a new approach to education that emphasizes adaptability and lifelong learning, as the half-life of skills shortens.
- 🔬 Ethical considerations in AI are paramount, and there is a need for universities to instill an understanding of ethics in AI development and use.
- 🧩 There is a noted discrepancy between student usage of AI and faculty adoption of AI strategies in education, indicating a need for faculty to better integrate AI into their teaching practices.
- 👨🏫 The role of faculty is pivotal in shaping the future workforce, and there is a need for them to embrace technological changes to effectively prepare students.
- 🌟 The debate underscores the importance of finding a balance between traditional educational methods and the integration of new technologies and skills, without losing sight of the ultimate goal of producing well-rounded, adaptable individuals.
Q & A
What is the main topic of discussion in the video script?
-The main topic of discussion is the relationship between academia and corporations in the era of artificial intelligence (AI), focusing on the challenges and the need for adaptation in education and industry.
Why is the integration of AI in education considered important according to the script?
-The integration of AI in education is considered important because it prepares students for a future where AI will be a significant part of various industries, and it helps in developing critical thinking, problem-solving, and other core skills.
What does Albert Rola suggest is missing in the relationship between academia and corporates?
-Albert Rola suggests that what's missing is how universities can use technology to be closer to enterprises, especially small and medium enterprises, and the need for every degree to have AI embedded in it.
What does the script imply about the speed of technological change and its impact on education?
-The script implies that the speed of technological change is rapid and unprecedented, which poses a challenge for education systems to adapt quickly enough to prepare students for the workforce and the evolving needs of industry.
What is the role of universities in the AI era as discussed in the script?
-The role of universities in the AI era is to provide a foundation in critical thinking and core skills, while also adapting to incorporate AI and technology into their curriculum to better prepare students for the workforce.
What is the perspective of the panelist from K yon University at Qatar on industry expectations versus academic institution's role?
-The panelist from K yon University suggests that there is a need for better coordination between industry expectations and academic institutions' understanding of their role, emphasizing the importance of building core skills like critical thinking, perseverance, and teamwork.
What does the script suggest about the current state of skill development in students?
-The script suggests that while students have a good foundation, there is a gap in their readiness to hit the ground running in the industry. It highlights the need for better fundamental skills, such as collaboration and the ability to work in teams.
How does the script address the issue of ethics in AI and its relation to education?
-The script addresses the issue of ethics in AI by emphasizing the need for ethical awareness and understanding in AI education, including the importance of transparency, human-centered design, and the ability to manage bias in AI systems.
What is the view of the corporate representative in the script regarding the skills gap between academia and industry?
-The corporate representative in the script acknowledges the gap in skills, stating that while new graduates have a good foundation, there is a need for further development in fundamental skills and the ability to adapt to the rapidly changing technological landscape.
What does the script suggest about the future of work and the importance of AI literacy?
-The script suggests that AI literacy will be crucial for the future of work, with two types of workers emerging: those who continually use AI and excel, and those who resist change and risk being deskilled and devalued.
How does the script discuss the importance of adapting education to the changing world?
-The script discusses the importance of adapting education by emphasizing the need for universities to keep pace with societal and technological changes, ensuring that students are equipped with both core knowledge and new skills, including power skills and ethics related to AI.
Outlines
🌐 Academia and Corporate Synergy in AI Era
The speaker introduces a discussion on the relationship between academia and corporations in the age of artificial intelligence. The session aims to be interactive and educational, emphasizing the importance of sharp questioning and learning to feed an 'E engine.' The speaker highlights the large virtual attendance and the significance of the topic, suggesting that universities should innovate to better connect with businesses, especially中小企业. Albert Rola is invited to share his insights on the missing links between academia and corporate relationships in the AI era.
🤝 Bridging the Gap Between Academia and Industry
Albert Rola discusses the democratization of technology, where even small and medium enterprises have access to the same advanced technologies as larger corporations. He suggests that universities should leverage this technology to foster closer ties with businesses, emphasizing the importance of AI and cloud services. Rola also stresses the need for every degree program to integrate AI, as it is not only for tech professionals but for everyone, highlighting the potential for AI to streamline and add value to various corporate processes.
🏛️ University Education and Industry Expectations
The conversation shifts to the university perspective with a representative from KET at Qatar University. The speaker addresses the need for better coordination between industry expectations and academic institutions' understanding of their role. There is a call for universities to build core skills in students, such as critical thinking and problem-solving, alongside 'softer skills' like tenacity and teamwork. The importance of these foundational skills is emphasized, as they are difficult to teach later in one's career.
🛠️ Industry's View on Academic Preparation
Charlie from HP shares insights on the corporate academic relationship, focusing on the skills gap that exists between university graduates and industry needs. Despite having a robust pipeline through internships and recruitment, HP finds that new recruits often lack the necessary fundamental skills. The speaker highlights the decline in collaboration skills among students and the need for universities to adapt more quickly to the changing needs of the corporate world, especially in the context of AI.
📊 The Impact of AI on the Future Workforce
The discussion continues with an emphasis on the rapid integration of AI in the workplace and the potential for a bifurcated workforce—those who embrace AI and excel, and those who resist and risk being left behind. The speaker warns of the urgent need for both academia and industry to adapt to the accelerating pace of AI, suggesting that the traditional methods of teaching may need to evolve to better prepare students for the realities of the modern workforce.
🌟 The Role of Faculty in Shaping the Future
The conversation turns to the role of faculty in developing students' 'heart skills' and the importance of ethical awareness when it comes to AI. The speaker from Power School emphasizes the need for students to understand the ethical implications of AI and to be prepared to interact with and modify AI outputs. There is a call for universities to partner with corporations to ensure that graduates are not only technically proficient but also ethically conscious.
🚀 Adapting to the Speed of Technological Change
Albert discusses the rapid pace of change in technology and the need for education systems to adapt quickly. He emphasizes the importance of developing 'power skills' in students, such as adaptability and a willingness to learn, which are crucial for employability in a fast-changing world. The speaker also highlights the importance of not just teaching technical skills but also ensuring that students are prepared for the ongoing evolution of work processes and products.
🎓 Balancing Tradition and Innovation in Education
The final paragraph delves into the debate about the balance between traditional teaching methods and the integration of technology in education. The speaker argues against the notion that all traditional methods should be abandoned in favor of technology and emphasizes the importance of evidence-based teaching practices. There is a call for a mindful approach to change in education, ensuring that any modifications are made with a clear understanding of their purpose and long-term benefits.
🌱 The Importance of Ethical Considerations in AI Education
The closing remarks of the discussion underscore the importance of ethical considerations in AI education. The speaker highlights the need for universities to not only teach technical skills but also to instill a sense of ethics and responsibility in students. The conversation concludes by emphasizing the interconnectedness of innovation, technology, and ethics, and the importance of adapting to societal changes while maintaining a focus on the well-being of students.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Academic-Corporate Relationship
💡Democratization of Technology
💡Innovation
💡Educational Technology
💡Enterprise
💡Critical Thinking
💡Soft Skills
💡Ethics in AI
💡Digital Literacy
💡Adaptability
Highlights
The relationship between Academia and corporates in the artificial intelligence era is a significant challenge.
The objective of the session is to learn and feed the AI engine, emphasizing the educational aspect of the discussion.
There is a large-scale online engagement with 1,200 people connected in different sessions.
Albert Rola emphasizes the democratization of technology, allowing equal access to technological resources for companies of all sizes.
Academia needs to innovate and be closer to companies, especially small and medium enterprises, to leverage technology effectively.
Oracle provides programs to give universities access to technology for educating students and teachers.
Albert suggests every degree should have AI embedded, as AI is not only for tech professionals but for everyone.
The discussion highlights the importance of universities adapting technology to better prepare students for the corporate world.
KET from Kyon University in Qatar stresses the need for coordination between industry expectations and academic perceptions.
Academic institutions aim to build core skills like critical thinking and problem-solving, not just technical skills.
There is a call for better fundamental skills and soft skills like collaboration, which have reportedly decreased over time.
Charlie from HP discusses the gap between university education and industry needs, suggesting a need for better adaptation by academia.
The importance of ethical considerations in AI and technology is raised, with a need for transparency and human-centered design.
The role of AI in K-12 education is discussed, with a focus on ethical awareness and understanding of AI's ethical nature.
The conversation concludes with a reflection on the need for balance between adapting to technological changes and maintaining educational integrity.
The debate underscores the importance of producing well-rounded individuals capable of adapting to future job markets.
Transcripts
Al and it's going to be switching
between English and Spanish uh this is
really challenging uh because we're
going to speak about what is the
relationship between Academia and uh the
corporates in the artificial
intelligence era so I think this is one
big challenge um remember two things
very important we're going to try to be
sharp in the in the different questions
um the objective of this session is not
only learn but also to uh feed the the E
engine that we are generating so I think
that's going to be very dactic as I told
you and this morning was 1,200 people
connected in the different sessions so
there is people here but there more
people there there families there is
students there is uh 50 uh rooms in
different schools that it's uh it's um
really interesting I think that I'm not
going to introduce every single uh
panelist because you have behind behind
us who is who I think that maybe when I
pass the first question he can present
his because it's much better if we do
like this and I want to begin with the
first question uh to Albert Rola for two
reasons first because I learned a lot
working with with him about 25 years ago
and the second question is that Albert
was participating in the in the in the
last Global education Forum when we
spoke about the challenging of higher
education so the first question to you
uh Albert what is missing between
academic and corporate relationship in
the AA era
well good good afternoon right so I
think past night place yes so good
afternoon
no now yeah good afternoon um how long I
have to answer that question yes so I
think it's a very important question um
the good news is I believe that
technology has been democratized that
means that the same technology that the
big compan companies the big Telos the
big banks have
access today small medium Enterprise
have the same technology available and
it's the first time that this happens so
that's the good news everyone can have
can access the same technology
everywhere in the world doesn't matter
the size of the company the culture the
religion
anything the second thing is that and
you and I were discussing earlier is
that there is a situation where
Innovation is about knowledge and
knowledge
is universities ories so for me the
academies need to use more The
Innovation to be closer to companies so
we as Oracle for example we have
different progs where we can provide
technology to the to the universities to
have access to educate the students to
educate teachers all that stuff but for
me what's
missing but I see some progress is that
how universities can be using that
technology to be much closer to the
Enterprise especially to a small medium
Enterprise so they small medum
Enterprise they have a huge potential
but they are not yet even thinking about
the value of the technology can provide
to them the AI the cloud services and
this is about simplification it's about
making spending the time and the money
on the things that brings value to their
companies because the rest can be
managed automatically for instance in
our case our database where everything
is data today on AI is autonomous there
is no people behind managing a
database um everything the patching the
security and the performance is being
done automatically by the database
itself um the
applications uh the erps HCM all the
tools that the companies have today they
already have this technology the AI
embedded where they can really bring
value to their companies and it's where
the employees they need to put a focus
not on technical staff today so for me
is University is closer to small medum
Enterprise and the second thing
is today every single degree should have
ai
embedded not AI is not about only for
the tech guys it's not about for
engineers AI is for everyone so I see
today my company we offer for example an
Erp for um
uh uh
CFOs so the CFO can
create automatically autonomously using
gen AI the annual report the CFO
interaction with the annual report is
using natural language so once he's
reading he can ask can you add uh what
happened what could be what has been the
impact on my results this this last
fiscal year because I was missing a
certain product for a period of time
and this interaction is natural language
doesn't need to program anything and he
get the addition and say okay so can you
put that in a graph and the graph is
being defined so can you compare that in
the previous years and all this thing is
being put in different bars different
years so and this a CFO I can give
examples for supply chain I can give
examples of HR I can give examples for
any single process any company so for me
technology should be embedded in any
kind of Education
degree uh University or Spain for
professional okay at any level good um I
think that's something that Albert has
said that this is AA is a leveler so
it's it's allowed to every single
University and every single company is
like a safety card in the Formula One
it's everybody is the same line and now
you need to be prepared for the next
step um I'm going to jump to the to the
university perspective KET uh you
represent um K yon University at Qatar
and education City do you think that the
universities two questions the first
thing is they are always everybody is
using the this approach in the same time
and what is your experience how is kelon
doing this approach to the corporate
Market in the
AA
okay so thank you
um so two questions I got double the
time no yeah all right
so let me say I I think that one of the
big things that we've seen over the
years and and I I love a lot of what has
been said but I'll tell you the flip
side of things I I'd love to see a
little more coordination between
industry's expectations and the academic
institution's perception of the role
that Academia plays
um you often when you talk to Industry
the general impression is that industry
want people who can join their
institution and hit the ground running
and unfortunately unless they are more
mature industry institutions that are
willing to invest a little further but I
cannot tell you how many times we get
folks from industry saying you know why
aren't you teaching them X um and you
can change X over the years all the way
from PHP to HTML to something to
something that and we and them we know
that Technologies change and evolve
right um we're not in the business at
least the good places the good academic
institutions we're not in the business
of making you pick up tools or platforms
we are the business of building your
core in our minds and we hope that that
core gets appreciated and understood by
you know we're still producing these
people to the output which is industry
we just came out of the session that
stresses a lot on the importance of
critical thinking we all put it we all
love what Ben said that everybody claims
to do it and you know not many actually
do it but I go beyond
that I really think that academic
institutions roles now Beyond trying or
claiming to try to embed more and more
critical thinking you know problem
solving the standard set of of of skills
that we talk about I think what's
equally important are some of the things
that are softer but more difficult to
embed like tenacity perseverance
teamwork uh you all know what I mean by
that and you cannot shortcut these
things and they are so valuable that
it's so ult to teach later on it it it's
gradual it takes time A lot of times you
have to just bump your head into
something for so long until you
understand what it means to build
perseverance now I'm saying all this
because I feel that in the industry
academic dialogue we need to constantly
be reminded again of that even in my
chats with industry reps I try to tell
them take somebody who would be an
excellent long-term investment like our
Carnegie melon products although often
we don't need to to try that hard to
sell them but in principle this is a
dialogue that we do have and be willing
to continue the next couple of steps of
localized customization and education in
a way that fits you but rest assured we
have done a really good job trying to
build the foundation and I say this out
loud because it's important and we
forget about it and Industry forgets
about it and sometimes some academics
will forget about it because we'll be
sucked into oh let's go and work on the
tools and let's work on all these hot
things because wait wait a minute you
know there is still a lot of value in
what we are trying to do as long as we
keep our eyes on the
ball having said that I'll just comment
I love the last part that you mentioned
that you think AI should be part of
pretty much everything we are teaching
we've been saying that for years
Carnegie Mel is a heavy tech school um
we've just been saying computational
thinking should be part of everybody's
uh experience and knowledge because
again it buils on that core skill set
that we are talking about computational
thinking is essentially the new math in
our minds okay good mind I would like to
add one couple of things until
now until now we had hard skills and
softer skills recently I found a much
better definition and are switchable
heart skills because heart skills are
required is changing very fast and
instead of softer skills that something
is called soft skills is like we are not
starting in the right direction
but they read something like solid
powered
skills
curiosity uh
empathy um uh listening learning how to
work in a diverse environment and I'm
more in a fan about solid powered skills
as part of the education that you
described earlier let me U I'm going to
take this this note on your comment and
then I'm going to pass to you Charlie
from HP you know responsible for
education in HP so it's it's good um
about five months ago we we uh asked to
em at the beginning of the EM uh tell me
what are the 10 top skills that one
student needs to have in this AI era and
we ask please invite invite invent uh a
word that nobody's using because we want
to use it and tell me what this kind of
skills it's amazing the result I'm I'm
trying to to look uh for for this video
because it's very simple it's one about
two but it's it's something really
interesting about different skills that
nobody's putting on the table so do you
think from the HP side do you think that
uh your view of corporate academic
relationship not only as industry but
also as a employee employer of of
students do you think that you find the
right skills AI availability
disponibility in not only the the
employees that you have but also that
you are going to have it would you tell
me this so I would say um the experience
that we have uh bringing in in college
interns and we work by the way with uh
you know Academia around the world we
have a very robust uh pipeline through
our internships and through recruitment
with universities I would say that um
you know we we do the best we can to
work with with Academia we sponsor a lot
of uh research projects that being said
um do I feel that the quality of the
people we're getting in hits the ground
running to ced's you know point of view
I would say no quite honestly no it
doesn't similar to the belief that when
you leave secondary school you're ready
to go to university if you uh you know
interview and I think there was a study
done recently that said you know 98% of
secondary school teachers believe that
secondary students are ready for
University and you then you know
interview the universities and they say
oh my gosh no it's only about 133% you
know and we see the first year of
University really is being grade 13 to
get them ready for University we see the
same thing coming from University coming
into the workforce we believe that they
do have a good foundation and I think
that Foundation has changed over the
years and the skill set that they come
in with has changed over the years but
then we have to mold them into who we
want them to be um and so I think we
spent a lot of time in our Corporation
specifically but I know in a lot of
other corporations we work with that uh
there's a lot of investment in Learning
and Development once they come into the
university to what we're trying to have
them do we love well-rounded individuals
don't get me wrong but we also wish that
they came in with some better
fundamental skills and so we spend a lot
of time on better fundamental skills and
fundamental skills being the ability to
collaborate collaboration has certainly
gone down in the years that I and I've
by the way I've been with hp24 almost
come coming up on 25 years I think
collaboration skills have dropped the
ability to work in teams has dropped I
think
expectations of a student uh coming in
has risen to a certain level that is
maybe not achievable you know I have a
degree I'm going to rapidly go up
through the the ranks I've been here six
months why am I not CEO yet you
know kind of heard that question or at
least why am I not running a team and
it's like well everybody else here is
also got the same degree and you know
thank you so much um so I think that
there is there there is this Gap and I
think that we as industry need to do a
better job of relaying what those needs
are and then I think Academia quite
honestly needs to be a better do a
better job of quickly adapting to those
needs which Academia never really does
quickly adapt to right Academia is very
slow in adaptation to to Corporation
needs I think um that's going to have to
change I literally think that's going to
have change especially in the world of
AI I think it's going to really need to
be very important that Academia uh you
know Embraces AI Embraces as part of a
career development path Embraces as part
of a fundamental skill because soon
there's going to be two types of workers
and I think you guys have probably all
heard this before there's going to be
the workers that go up who continually
use Ai and there's the workers who are
going to get
deskilled and get devalued and get
pushed down into basic jobs because they
don't use Ai and so that is very rapidly
happening today we see that happening
today people who are bracing AI with in
HP are excelling people who are
resistant to that change probably not so
much so y you I I think that uh the
point is that when you make research
depending on the countries I think that
the AA um goes to one uh speed that
nobody can control so it's something
that is is happening so it's you can say
no we can stop it's going to be a you
know something temporal or something
like that you need to change everything
so and the point is that if you analyze
in Spain for example some of the data is
that 85 85% of the students are using AA
and the different in the day per day
things only 68% of the faculty is using
that but only 54% is adopting an a
strategy on EA so it's it's it's a
global scale so it's not a problem of if
the students are using it or not it's a
problem of act as a company you need to
do that well and you know one other
thing I will say just really quick and
and this is again I love Academia and I
spent a lot of time in universities
around the world you know even in uh the
faculty have not embraced necessarily
technology right I I've been to a lot of
classes and in fact I was at a maths
class in Columbia University uh just
before Christmas and they took me to
this math class and you know everyone
was seated in this large Auditorium type
seating and the professor stood up and
wrote on green chalkboards with white
chalk all of his mathematical you know
formulas for the class used a big stick
to push him up so everyone in the
auditorium could see there was not a
single piece of technology used in that
entire lesson he won't use PowerPoint he
won't use a computer he's certainly not
going to be using AI in any way shape or
form he's going to be very resistant to
that he is teaching the same way that I
learned back in 1988 when I went to
school and probably the same way people
learned back in 1950s and 60s right that
has to change right students are going
to emulate what they see and if they're
not being taught to use the technology
by their professors then they're not
simply going to be a digital native I I
don't believe in this whole digital
native belief just because you can be on
social media does not make you a digital
native you need to have true digital
literacy to be effective this is not for
replay but if you analyze for example
the trends in the students that what is
the one of the top two priorities in
every single European country for one
student is earn money so if you have
something on the table that is going to
uh you know give more speed to uh make
money to earn money to you know to be on
the market I think that this challenge
is going to be because EA is one of them
maybe critical thinking not or maybe
other things but EA is going to be
something who is on the table that is
going to uh approach this student to the
market and maybe maybe the university
can be jumped and it's I don't want to
reply but I'm going to pass to Sonia
because Sonia the is making
research 22 years ago about everything
can you give me your vision about this
collaboration between yeah Academia and
corporates please yeah okay and
sorry thank you for having me and I'll
try to be brief and I'll try to fit
Emily as well and I'm going to switch to
Spanish if it's okay with everybody
um I cannot agree with you more
but for
s
we have to keep working of
course B um I think that I'm I'm 100%
agree with you uh the role The Faculty
it's really important always because
it's going to be you know somebody who
who can stop or develop any single thing
so it's it's it's really important let
me jump to the PWC environment so jaier
I think thanks for coming because I
think that today you are not feeling
very well so but thanks for I can talk
yes and tell me as Big Top you know big
four uh how you look
for what is the way that you look for
new people on AA where do you find it
that is the first question well yes this
is a very interesting topic because I'm
leading the AI and analytics team I've
been leading it in Spain for a while and
I've been in AI for almost 20 years
already trying to apply it to solving
business problems right uh in the last
years I've seen a an evolution on the
profiles that we've been hiring and I
tell you I am very much involved in the
hiring process because at the end of the
day if I hire a good team I'm going to
do a lot better than if if I just let
somebody else do my job right so um in
the last maybe five years or so what I
have seen a uh let's say um a very
significant change in the skills that
the people have brought from University
which and and and the change was
that they
were before they were used to you went
to a math class just like that I had the
same chalk green Blackboard and so forth
and then you have to train the new what
we call the new joiners in either python
or whatever in order to start being
productive right H what we have seen in
the last years is that they have been
using the tools to perform their classes
their you know their their assignments
and their final uh let's say the final
works or everything for maybe three or
four years at the same time that they
were learning the basics so if if they
were learning Telecom engineering or
math or not so much math or physics but
the engineering uh profiles uh we have
seen this a lot or yeah maybe other
careers uh we've seen this more recently
that they have been using the tools to
perform their job so when they come with
us it's like another project and they
they already know the tools another very
important thing that has been talked is
that one thing is learning the basics
and and you said it very well that you
know you have to learn how to talk with
machines this is learning programming in
a broad sense it doesn't mean learning
how to do it in Java or PHP or whatever
right and this is the what what we have
been misled about that programming is
not language programming this I can talk
and I can talk in Spanish in English and
uh some other languages but but talking
is one thing and trans meeting a concept
is one thing and and speaking a language
is another it happens the same with
programming now we have programming in
another language AI prompting is
programming in English or in Spanish but
you have to know how to talk with a
machine you cannot say just do this this
and that and expect that you know some
magic happens and this is when the you
know the hype cycle is going to calm
down the people expectation is that this
is some sort of magic that you can just
talk to the machine and have a perfect
answer answer right I mean and you need
how to talk to the machine and this
means you know have a basic let's say
programming or whatever you want to call
it skills that comes with you know
whatever discipline that you have uh
studied either math physics engineering
or whatever uh gives you a basic set of
uh you know skill sets that then you
apply but applying those skill sets
while you are learning them for me is
something that has already started and
this is where we have to you know put
more focus on okay before go to Ryan um
I think that prompting engineering is a
is a profession is a career that
everybody wants to put on the table now
but I think that um prompting um
questioner is another one so I think
that I have a my family journalist all
of them and my my daughter has recently
finished two double degree outstanding
thing number one students and whatever
and uh and it's a journalist and
communication no and tell me Pap I have
a problem you don't have that problem
because I think that you we need people
who knows how to make prompts how make
questions to the a in every single thing
but it's one window very small that we
have today I think that the next month
everything is going to change so this is
the first thing and and other thing that
you have said is that the the the um the
classroom it's 21st it's 19th century
the the The Faculty is 20 century and
the student is 21th Century so this this
Gap could be big due to the artificial
intelligence if we don't follow the
faculty if we don't follow the academic
corporate relationships and these kind
of things I think that we are Runing
around the same topics in all of them
tell me the PO School vision about this
thing so first of all thank you for
having me uh good afternoon everyone um
you know I think the one the one word I
haven't heard here is sort of the
ethical awareness
and the understanding when it comes to
you our business is is strictly K12
education so we're working
with slow moving very slow moving uh
School entities all across the world who
are very concerned about bias
representation about authenticity about
all sorts of things related to Ai and so
one of the first things that we like to
do
as a corporate entity is partner with
universities to really have the
conversation about not just skill sets
in terms of programming and being able
to develop but are they coming in with
an understanding around the ethical
nature the importance of that um the the
need to be transparent in
design uh the need to start with the
human- centered conversation at the
Forefront um and in all the work we're
doing uh we're really focused on the
concept that in the end whatever
whatever AI produces there has to be the
ability the ability for human
interaction to make modifications to do
the adjustments uh when when you get
into a classroom um with a third grade
teacher uh we find over and over again
huge hesitation and fear and so
everything that we can do to help relay
those con concerns everything from is
there going to be a teacher here 10
years from now which we believe 100%
there will be uh to just making sure the
information that's coming and being
generated is
um we can't eliminate bias but is in a
place that is uh bias um reflective so
there's an understanding that there can
be a there can be a communication
between student parent home
Administration and so you know I think
when when you connect it to highered uh
we certainly want all the skills coming
out we we want you to be able to program
we want the highest skill set possible
we want everyone from Carnegie melon we
we'll take that every day uh but there's
another piece there and that's that I
think it's the soft soft skill piece
Albert that you started talking about um
it's really I like that especially being
Power School um that that piece is that
piece is really important it's really
important I think it starts with uh um
with sort of the the foundation around
understanding the
ethics okay good um I'm following uh
your point with the K2 no we
are we are we are not arrived to
University but you know we have made a
research with the global education Forum
that analyzed that uh the university
begins at the school so I think this Gap
that the two years between 16 years old
and 18 years old it's a huge gap that
you can be there so because everybody's
thinking in the University that you need
to have 18 years old and then you go to
university and then you finish with 21
and then continue your normal path uh
industry is looking 16 to 18 years old
students because they can learn in the
school more things than the university
because the regulation is different and
you can be as a as a as as a topic no
what do you think Albert about this this
point so I think that the um One Piece
where we are missing all this is not
about we want to transform whatever so I
think that we need to assume that the
speed of
change that we don't control the speed
yeah is going so fast that we need
education students universities to
change the difference is that the speed
is not the same despite what we are
discussing here I mean the first
Industrial Revolution took a 100 years
that the first thing that was created
impact the entire population in the
world AI
took 3
weeks that's the scale and I think that
in I'm working with some universities
here in Spain try to challenge them
being in a school um in Spain where
there are no
classrooms where the main focus is to
how to educate the kids
to make them to develop their power
skills to develop those ability or those
skills that will make them more
employable in the world where things are
going so fast and I believe that coming
back to my first point that is not about
um technical
universities uh we have a pram in Oracle
in Spain called rent Tech where we did
we are now on the second edition that we
basically go to the market Spanish
Market selecting women no job one
University
degree English and no idea on
it we go to the market and find which
profiles companies are looking for our
job is to coach those women to obtain
one certificate from Oracle and to get a
job the day
after none of them have any IT
background so I believe that the the
common element skills they have are
those power skills they have the
appetite they are willing to learn
they're willing to change and they're
really going really fast so for me
is maybe I don't want to put in the
trash what we are doing obviously on
universities I'm not an expert on that
thing but we need to reinvent to adapt
to the world is going so fast
independent what we decide here right
and we cannot change that unfortunately
maybe we'd like to see things going a
little more slowly right but I think
that how to adapt to this change how to
make employees more capable or students
more capable to adapt to all these
changes because what I mean my my dad is
95 he started doing a job he retired
doing the same job his or didn't change
his processes didn't change in the
entire business life now in any of the
companies that we are working on maybe
in two months
something has changed the work the
process the product so we need to
prepare the students on adapting to this
really fast change this this connection
between the Academia or the universities
with we're going to say Academia no
because not only not everything is it's
universities it's Academia and and
corporations um there is a a big big big
uh issue of Mind generation so I think
that people needs to understand what is
this without fear this is not going to
replace my job it's is not going to be
you know the faculty uh replacement or
something like this not at all in every
single industry is going to change but
but I think that discussion uh it's
important that everybody needs to
understand what is the EA and I think
that this event is one example that it's
it's interesting to tomorrow um uh this
uh this event has a second day
internally for faculty students and
families more than 500 people has been
registered to physical attendees to
learn user cases that the university and
the schools are are doing that and we
speaking about fathers too so it's it's
not only an issue of the faculty or the
or that ho in car melon is doing
this
so yeah yeah okay so I was I was itching
to respond to a couple of this and I I I
I feel a little bit bad I feel a little
bit bad that it looks like I'm holding
the banner of Academia here but um it's
not intended that way but I I'll make a
couple of observations first of
all we keep blam ing or talking about
older kind of education as being
extremely poor but you're all sitting
here with really good jobs with that
education so think about that for a
minute before we just keep trashing
everything that's one two one of the
things and and I'm not saying this to
push against that we need to change but
I do really want us to be mindful of the
direction of the change and to keep our
eyes on the ball that to really
differentiate between the means and the
goal all right so this idea of oh
everything is changing we have to
include this everywhere that's not a
reason okay I I I don't buy that um I
like that you brought up the example of
the classroom I very strongly disagree
with the initial perception of that one
of our faculty in this day and age who
still uses the board maybe not chalk he
he uses markers just won the best
teaching faculty award by the current
generation who supposedly loves
technology and there's a lot of research
that shows how important writing and
going on a board is to the learner slow
that you actually get to organize your
thoughts so that for me was an ex sorry
but it's an excellent example to be
careful there are times where you do
need technology to enhance a bunch of
things and there are times where you do
need to stick to some of the classic
methodologies that research has proven
and shown that this is extremely
conducive to appropriate learning how
many times are we Critical with the
younger Generations now that are just so
quick to doing something and are not
just slowing down and reflecting and
showing that something is both
accessible and methodical and you need
time you want people to hit the ground
running right and you are right that
there exists the Gap but we also want to
produce people and you keep hearing it
who will find a job 3040 years from now
which will need to do things that have
nothing to do with what you're asking
for today so I can't give you what you
want now and I would be doing a
disservice to those students if I were
to give you exactly what you want now
and I feel very strongly as you can tell
from my tone about all this but I I
think this is a very healthy debate
because in the end we are producing
people who can contribute to the
companies and to the industries that we
have and it is about finding that middle
ground it's about keeping our eyes on
the ball you ask me what we are doing
back to there are a bunch of course
skills Carnegie Melon now has developed
its view on its core competency skills
and we're going through a full revamp of
what that means a lot of this stuff very
consciously includes soft skills I love
the term power skills where are we doing
these in the curriculum being more
intentional about it where is you're
absolutely right about collaboration and
teamwork it is we just saw in our campus
that this is not as good as where we
would like it to be problem is I want to
be able to assess you so it's better if
you work individually we do need to do
better we are working on it I think the
big problem is we can afford to do that
as a Carnegie melon i' like to remind
people that we are not very
representative of the full distribution
of universities out there and I think
that is one of our biggest challenges
that you cannot take the top leading n
institutions and what they're doing as
indications of of what is really being
done elsewhere and it is much slower
than we would like we are integrated in
computational thinking you'll find
people in business and biology and other
Majors that doing some computational
thinking or programming course is a must
um you're absolutely right it's about
not that you can program how do you
actually take a problem chop it up be
methodical about it how do you even
prompt an AI I'll close with this in my
mind and excuse my geeky analogy I think
we're in the business of producing
general purpose llm individuals you guys
should be in the purpose of fine-tuning
it for what you need and if we can keep
that focus and agree on it and we get
your patience in knowing that you're not
going to get nor should you get people
who can hit the ground running you'll
get short-term gain you will get a
long-term loss and we need to slow down
and not just jump on oh the world's
changing so quick we need to change why
are we changing for what we need to be
very mindful of answering those before
we actually go forward with that it
might mean that we're slow too slow is
bad I think too fast is bad as as well
good but it's it's good point because
this is this table it's about corporate
and Academia relationship in the AA era
no know how to implement AI in my
curriculum so it's really interesting
why because when you make the research
for the students 8,000 students one of
the main problems that you see is the
well-being issues and that this
well-being issues is the pressure that
sometimes the student has when you say
you are the future and the fure in your
hands and the student says I don't want
to have the f in my hands because please
don't put this pressure on me and I
think that the role of the Academia can
be regulate the demands of the market
and the how do you say the stress of the
students Sonia what do you think about
this I I think that you are right I mean
you cannot change fast and because of
there's a new technology appearing I
think universities they need to give
like a training in in in core knowledge
but also combining with all the all
those new skills power skills and soft
skills and then the the student itself
themselves they are going to be able to
adapt to what the companies are going to
are going to ask them in 2015 30 years I
I don't care I don't know but but that's
very substantial it's not that
universities need to change for no
reasons they need to change because the
world is is changing and because the
society is changing so they need to keep
track of that and of course the speed or
the that velocity of change will be
different depending if you are part of a
company of a university or of a school
of course but and and we've seen before
this morning the different um knowledge
Corps of knowledge Corps yeah so the
veloc the speed of changing changing
will be different but you need to keep
trying and and apart from that that
um and and you were talking about the
ethics and you need also to to keep in
mind that the technology it's changing
and The innov Innovation is is is
appearing and at the same time you are
universities are responsible to keep in
mind that the ethics the it also needs
to keep changing and keep combining so
Innovation and technology has to go hand
in hand with with the ethic and the the
the the changing of the ethic and the
adaptation of the ethic to this new
world that we are facing well can I just
mention I yeah I talk about the ethics
piece because there needs to be a
differentiation why go to
university I mean I can we can hire
programmers we can hire people right now
who can program for AI if that's what
we're talking about here and the
university doesn't matter a
bit so what's the difference
differentiator
why just like HP Power School Oracle we
have to all stay relevant so the
universities
good well I sorry about that I think
that I I have a really tough uh role uh
because it's I need to cut the
conversation here and the most
interesting thing for me is that this
conversation begins like Academia and
the corporate relationships and go to
everywhere in in in relationship with
the students with the faculty family you
know ethics um wellbeing um skills power
skills why because I think that this is
a a table topic it's something that you
can talk in your in your home at dinner
time or whatever thanks for your time um
has been a pleasure for me and I hope
that you enjoy the round table and
thanks for your time we will back here
at 5:30 with a session with the students
because we are going to ask to the
students what they think about this and
I think it's going to be challenging for
all of us thank you thank you for
everybody
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