So, welcome, welcome everyone and thank you for joining us for the second teacher academy webinar of school education getaway. School education getaway is an initiative of the European Union. It brings you updates about European policy and examples of innovation in practices in school education in Europe. This webinar today is about artificial intelligence, a hot topic as artificial intelligence is becoming a big part of our everyday life including of course education and with new technological developments especially with digital transformation, new opportunities, but also challenges may arise so it's important for teachers to become familiar with the basics of artificial intelligence. For this reason today is with us Marco Neves, computer science teacher at Agrupamento de Escolas de Badalja. Marco is an advisor on education technologies and a specialist in learning scenarios in the context of the current digital transformation and its impacts on education and more in general on society. So, before leaving the floor to Marco, I remember you that you can post your questions in the chat box and we will go back to them as possible after the presentation. Also, please note that this webinar is being recording and the recording will be available soon after on the webinar webpage on the school education getaway together with Marco's presentation. So, thank you very much Marco for joining us. I indeed owe it to you so you can introduce yourself more in details and start the presentation right away. Okay, Leonardo, thank you very much. I would like to thank for the invitation to talk about artificial intelligence and education. It is a great pleasure to be here in this webinar and try to give you an idea about what is AI and all the impacts of AI. In terms of this presentation, in terms of this webinar, I will be divided the presentation in three different main topics. The first topic I will talk about artificial intelligence and try to give you a notion what is AI, just a short notion not entering technical details about what is AI. And the second topic I will focus on the impacts of AI mainly into different areas. We will be concerning the labor market and also concerning the medium because nowadays we are facing lots of challenges in what has to be with taking use so I think it's a very important topic also and AI is clear related with that. In the last topic I will of course talk about education about AI and the way they are related. During the webinar you're going to have access to a pilot and during the presentation you are free to post on the pilot and to interact. You can even comment on other participants posts and even both about the things that we want to share here during the presentation and I think that is a real important for us to have this kind of interaction during the webinar. Before I start I will just give you some more information about me. I am teaching Portugal in a very beautiful village in the center of Portugal. It's a hundred kilometers north of Lisbon and you can see here my school and the small village where I teach is called Batalha and it's very well known because of the monastery that you can see here and this is called Monastery of Batalha but the technical name is Monastery of Santa Maria da Vittoria and it's a very beautiful piece of architecture and I would like you to show you the Monastery of Batalha not only because it's a really amazing building but just to tell you that at the time there was no artificial intelligence available for the humans to build such an amazing thing and this is some like an introduction in my presentation today that we have to look at AI not like some kind of magic or like a super bullet or even like a panacea for education but we clearly need to be aware because the impacts of AI are tremendous nowadays. Before I start talking about AI in particular I would like just to give you a brief notion of what I can call like a human framework or at least a framework what I call it the why and why today we are talking so much about AI. AI is something that is new, it started in around 1950 but why are we today talking about AI? I will pick up in terms of the why just by showing you that is lots of this S2B in the way that we have our perception in the universe and our perception in the world and I will pick up some insights from this book it's from Luciano of Florida and in this book it describes that we are losing something that we consider as exclusive from the human being what we call the centers and I will just give you a brief idea when we talk about these centers and they are mainly these four centers we are talking about the universe we are talking about the world we are talking about the brain and the last one that is related with AI today we are talking about the intelligence and there are four key moments in the history of immunity that clearly make us understand the way that we are losing these things that we consider that are exclusive to us and I will just show you starting with the first one when we think that we are the center of the universe and we lose that idea of we being the center of the universe with the panicles and then we have the other one that we think we were the center of the world and through Darwin we clearly understand we are not anymore the center of the world but if we are not the center of the universe and you if we are not the center of the world we at least we think that we are the only that could take decisions with consciousness and we have Freud tell us no but that is not clearly true so one last thing it was left for us in terms of the centers in terms of this exclusivity and that was the case of intelligence but around the 1950s these brilliant scientists Alan Turing he published a paper on a magazine and he posed these very very important questions and the question was for the first time you were challenged and thinking that maybe we we were not the only ones that can think and they asked if machines can think it was published in 1950 and for the first time after all the others centered that we've been losing we are in the one that nowadays due to lots of advance in technology we are facing this new challenge and this takes us to a very important thing nowadays in terms of what we consider as intelligent what we have these ideas of intelligence and I will give you just for a brief let's say concepts in terms of intelligence and the way that is being doing the times and the way that we are facing and understanding intelligence and I will start with the first one that was very focused in the questions of the high key and maybe making this straight line that everybody should have in the same times of intelligence the second one that I like to share with you is give us two words from Einstein and Einstein focused the questions of intelligence what we call the true sign of intelligence not in knowledge but in imagination and in terms of two more definitions and a lot of you and maybe all of you have this knowledge in terms of the multiple intelligence and this is given to us by Gardner and this is a question that we can have different multiples intelligence and the one the last one that we were thinking about that we could be the only ones that have this capability and this is what are making very challenging the days that we are living today is give us two words from leger and uter and leger and uter tell us that intelligence is to achieve goals in a wide range of environments but if we pay attention it's just a thing that is exclusive to humans but is as they say in the definition in terms of agents ability so we are living tremendous time and these times are being shaped by artificial intelligence and I would like to make you a question and you can use a chat box just to give you your opinion I'm going to show you two image and I will ask you to tell me what best represents AI to you the first image that I will show you is this one so this is like a robot and the second one that I will show to you the second image is this one and this is an umbrella I would like to hear from you on the chat box what for you best represents AI and of course I will be back to what I consider what best represents AI and I will be very interesting for us to see in terms of the robot or the umbrella in terms of this metaphor and the way that we are making this understands nowadays because there is lots of things that have happened today even in the media in terms of communication for in terms of what is AI and is AI is impacting our lives and we as teachers and educators is very important for us we have this clear idea what is AI and how AI is impacted in terms of our lives so this is really very important so I will just move on and give you what maybe we consider one of the most acceptable definitions in terms of AI and this gives us to us from John McCarty and John McCarty is considered one of the fathers of artificial intelligence and he defined artificial intelligence like this with the science and the dream of making intelligence machines so once again we are 13 in the key point about intelligence is not about only humans but also in terms of other machines and this make us thinking about what is our clear place in terms of the world in the time that we interact with other the different components of society and just to make open a little bit in terms of this definition about AI we can see in different free topics of AI could interact and we have the AI that can sense and this is achieved by what we call natural language and machine vision navigation and so on this is so one of the components the second one that we have is AI that can think and here we have planning understanding and this is give us to us by machine learning and deep learning and all these algorithms that we have nowadays and then we have another aspect another component is AI that can act that can act with the external role that is around all these agents that are making using of AI and to support all these in terms of creation of AI we have different areas and different subjects just the ones that we can see there about computer science tactics optimization some of them are not here like neuroscience and so on so what we can clear identify in terms of AI and I will be back to the challenge that I have proposed to you is what best represents AI and most of the time when we think about AI because we have all these movies from Hollywood and so on like the Terminator and the danger of humidity in terms of their existence in my opinion what clear represents AI is this umbrella because AI is related with so many things and so many things have happened in terms of AI that we can see like the support of different subjects and different expertise areas that are be using in terms of AI so this is just let's say a short introduction for you get this better understand in terms of what is AI and as I said before is very important for us to have this clear understanding and not just being close in idea that AI is represent for Robert even there's lots of AI agents that are not machines they don't need to have a body to be AI we have lots of software agents that act in terms of AI and don't have this physical representation so it's very important for us to understand and I that's why I start my presentation in in terms of this another thing that is also important when we are talk about AI is the different types of AI that we have it man nowadays what we have and I'm showing you here two different types of AI is what we call the weak AI and is the AI that we have nowadays and also something that we are trying to achieve that maybe I can agree on that or not is what we call the strong AI weak AI is a kind of AI that could be very very efficient could be performance better than humans but just in a particular area is also what we call the narrow AI I will just give you a short examples in terms of this for example we can have an AI that is very good playing some particular game like chess but if you ask that kind of AI you do a very basic thing that will not be able to do so in terms of AI development what we are trying to achieve is some kind of like a strong AI AI that have the capabilities in terms of applying knowledge in different context but this is something that is not happening right now that we don't have right now what we have is AI that are very very as I was told to you the efficiency better than humans in particular areas but cannot pick up the knowledge that they acquire to be applying to that different context and where is AI present nowadays maybe some of you already know it but I would like to do a quiz with you and I will present to you 14 different slides 14 different image and I will stop around five seconds in each of the image and I would like to ask you to use also the the chatbot and we you will just have to say yes or no if the image that I am presenting is related or not with AI so I will start presenting and each of the slides you just have to say yes or no if you think that that image has anything to do with AI I will just present the the first one so this is the first one and as I was telling you I will just stop five minutes in each of the image okay great so I will just give you just one more second and now I will just move to the next slide this is the second one second one and it's great to see that you are interact and say your opinion in terms of the second slide fantastic okay I will just move to the next slide and in this one I will just give you a short description this is about the game go that is considered as the most difficult game in the world and we are seeing there the world champion this adult and he was challenged by a machine okay I will move to the next one and here what you can see is what we call this digital digital systems or digital vice assistance like Siri Google Assistant Alexa and so on okay great I will just move to the next one and here as you can see we are talking about the weather prediction and just asking your opinion if AI is related or AI has anything to do with weather prediction okay we'll just move to the next one number six and here we are talking about finance credit phishing when someone tries to store so our data from our bank account and so on and just like see the way that you are interacting if there is anything related with AI okay I will just move to the next one number seven and this of course has to be the disease I'm trying to be used in medical terms to identify if according to logistic if there is anything that AI will be related okay I will just move to number eight and number eight is about all this streaming and such the ones that we are here Netflix HBO or Amazon and do you consider or not there is something related with AI here I will move to the next one and the next one here is when we are using GPS maps orientation like google maps ways or other similar tools to take us from point A to point B once again your opinion great I will just move to number 10 number 10 here I will just give you a little contest description this is a classroom and the students are using these bands on their heads and maybe this could be something related with AI or not okay next one this one has to be with with with fake news we as teachers and educators is something that we are really concerned about and we really need to educate our students to be able to identify what is true and if it's not true and what I'm asking you is if AI is related with fake news also we can just move to the next one number 12 and here we are talked about something that is called outlaw text generation there is a description there and what is happening here is to have some kind of tool that is able to produce their own text and maybe something related with AI and the next one I will just let you decide of course presenting all these different areas I will just finish with this one this is the last one and of course we are talking about sports in the particular here we are talking about football okay now we'll just wait a few more seconds to hear from you if you consider that AI is even related with football okay I was paying attention attention on on the chat box and I clear see that most of you choose yes and just a few seconds in terms of a review and what I want to say to you is all the 14 image that you saw they are all of them they are related with AI so from here you can have a clear idea how AI is so impacting in our lives sometimes maybe without we have this clear notion that we are using AI but all of them even in the I think is is number 13 in terms of heart the images that are showing and I just can go back a little bit to this one what you are seeing here is art that is producing by AI so this was not paving by human being this was created by machines that are using artificial intelligence to create art so as you can see when I in the beginning I was telling you about this challenge that we are not the only ones right now have the capability of intelligence artificial intelligence is even touched some of our skills that we consider the most as being human like art like creativity and artificial intelligence is quick and we will be back to this particular topic a little bit more in our webinar I will just go to move on and give you in terms of the notion and I think that you will now clear understand in terms of AI is impacting our lives I like to do the the technical technological contest in terms of AI and this is what I call the big ship for what is happening nowadays but have this tremendous impact and the way that is making clear for us to to understand what is the surrender surrender what is happening right now and this is mainly based what is the digital transformation that we are living and we cannot be very precise in terms of this but we can even put this like in a timeline and if we clear this notion from the different ages that we are living and if we go back we can have this age of agriculture then we move to the age of industrialization and nowadays we are living this age of the digital so this is this profound digital transformation we are living and they are supported in terms also what we call the industrial revolution and you know that we have the first one that was support for the steam engine we have the second one that was happening mainly about electricity we have the third one about electronics and IT and we are now living this one and this one is so profound because it's mixing what is the technical hardware part in terms of us the cyber and the biological so is something that is clear making the big difference in terms some people call this not only the fourth industrial revolution but also the first intelligence revolution is in the time that is supported by artificial intelligence and other technologies that today are completely shaped in the way that we have clear understand not in terms of society but of economy in terms of culture in terms of politics even and this is maybe the five the most profound in terms of technology the first one is about IoT and IoT is what we call the internet of things when we have everything that is connected and is predicted in this year to have around 30 billion sensors and they are connected we talk about the sensor we're talking about the smartwatch we're talking about the TV we're talking about the car we're talking about the fridge we're talking about everything and these sensors are always producing data and one thing that is really need for AI today is a big amount of data what we call big data and just to have a clear notion in terms of the exponential growth of data 90 percent of the data was produced in the last two years and added to this we also have artificial intelligence that is the power in terms of algorithms that have these capabilities to sense and to understand and what will be the hyper connection on all of these will be the five G's as we can see that is already advertised and we'll give you this very very speed connections in terms of the way that we are using our smart phone and in the top of this in the top of in the bottom it's difficult to put it we have one to computing that we increase exponential the capacity the capabilities in terms of the machines in terms of power computing so all of these is bring us to us different things and these bringing to us changes in the way that we interact with each other and we interact with all this digital interface this is what I call the other intelligence of course with the question mark is not saying that they are clear just in terms of intelligence but I will just give you some of the examples and some of these examples are being used by you for sure and I will just put the first question when we want to decide where to go what we are using today maybe not a map on paper support google map if what is designed for us what to watch and we're going to have netflix hbo and other platforms and what to buy these recommendations are given to us by amazon and who to fire who decided and these guys could be an example like uber because the people that are working they are constantly be evaluated by some kind of algorithm and all this metric and analytics that is beside the performance in terms of the things that are doing so it's not a human that will be fired a human now we have an algorithm that is decide if you deserve to keep in terms of your job or not and what information to see who is designed that maybe platforms like facebook and with whom to date who will decide maybe a platform like tinder so everything in terms of this is also shaping the way that we interact and all these kinds of different content some people just saying okay because all of this we maybe are becoming a little bit more stupid i don't completely agree with that if you are not using our time in terms of these basic tasks that means that we have more free times in terms of the lot more complex tasks so it's not a question in terms of the technology but is in the term all the way that we are using technology so i will just give you another example for us to have this clear understanding in terms of how the machines are reaching in terms of levels particular in terms of their capability of executing and all this is doing for the computational power that we have nowadays this is a google let's say tool platform is and the name is called talk to books and you can use it you just go to google and write talk to books and we directly will give you the link and what is really amazing from this is that you can you can post questions to this platform it's called talk to books and i'm just giving you one example i just post this question where we've gone achieve singularity and the automatically in half a second you just give me what say two answers for that what is really interesting is this system reads 100 000 books in half a second so you can read around 600 million sentences and will not give me the answer just in terms of much what i ask with information that is looking for but is give me that basic on the semantic research that is conducted by this system so we have a system that is able to read 100 000 books in just half a second i try to to read a few books but i can never reach this number is almost impossible for me so this is just to give you the notion that we cannot compete with these machines in what they are directly very fantastic in terms of doing and this also opens a lot of questions even in terms of education but just to keep in this context of this digital transformation just take a look just a few seconds to what happens in the internet in just one minute in the last year and it's very interesting also to see if you look for sharp from the previous years and you see the explanation increment in terms of this i will just highlight some of them for example in just one minute on youtube for 0.5 millions of videos are viewed if you go for example in terms of netflix you see how many hours in just one minute okay so we are on the edge of this huge digital transformation that is brought to you also in terms of all the capabilities of the artificial intelligence and the way that our interactions was and also other very important things in in the terms in the gap that is creating between generations and a really low descendants that we maybe be the last generation of humans that knows what offline means maybe maybe or not maybe that will happen for sure is the next generation for them being offline is something that makes no sense they will always be online they all will be connected they will be hyper connected so this completely shapes the landscape in the terms that we are having this understanding of the world and understanding of ourselves and what we have is okay so we have all these concepts we are real understanding in terms of this digital transformation but what are the impacts and here in terms of the impact the impacts of artificial intelligence i will i was told you in the beginning i will focus in in in two areas the first one is about the labor market and as as we know the if we look to the previous uh induced revolution the first one the second one and third one they all of them have a very strong impact in the labor market in the way that we understand the world and but there is one particular thing that is very important to notice nowadays is that the three precious uh induced revolution the impacts or the big impacts in terms of labor market were mainly in what we call the blue color works and these workers are associated with erotic jobs or mainly in terms of industry and the people that were working in what we call the white color jobs and let's say that is the kind of jobs that demands bigger expertise and so on they were not so affected but what we are seeing today is in terms of blue color what is happening is for example jobs like drivers will be tremendously effective and these will not mainly in terms of jobs that are and we know that we have uh truck drivers taxi drivers and and and so on and these things are being developed and we cannot say that we'll be in five or in 10 years or in 15 years and we have also to have the clear notion that maybe this will start in some geographical spots in the world and maybe not so many so so much in in the others we have to have we need to have this clear understanding that the this digital transformation doesn't have one day and one hour to start it will be different in terms of what is happening in different parts of the world but another one is this one we are talking about shops and are all many people that we have that are employed on shops this is an example of amazon go and amazon just open these stores and there is no human employer in terms of working in black stores you just enter you are identified with your smartphone you pick up the items that you want to buy and then you just leave and everything is automatically and it will be the discount automatically on your bank account another impact is like this one in warehouses where we are seeing more and more and these big companies as amazon for example is one of them most or particularly the job in terms of the deliveries are made by this let's say smart machines that are replacing in terms of human so this will ever tremendous impact in terms of job and the labor market and will be very difficult in terms of education in terms of society because what will happen to the students that we are not able to prepare with the competence and the skills that are needed for these new times before that we know that was this big range of jobs that they can be used but nowadays what will happen if we don't prepare well our students and they don't have let's say this possibility to go this kind of of work that I was showing to you but it's not only in terms of the blue color jobs it's also in terms of the white color jobs and this once again will be very challenge for all of us because in the previous revolutions we didn't have this impact in terms of your job you never feel this in our history of our humanity so I will just give you some examples for you to understand that the first one is in terms of one profession that we maybe consider that will be very difficult to be replaced in any spot by some kind of smart machines and just let me make this point that doesn't mean that the all profession or the all job will be replaced what could be happening is some of the tasks of that jobs will be replaced by this kind of this smart agent and we will need to prepare in the way that we are of education and our students to be able to interact with this system another example in terms of white color jobs is for example on medicine you never imagine that jobs like doctors and so on will be challenged by this kind of agents just another one nursery for example but it doesn't stop here this one also in terms of courts in terms of judge have this kind of things is a little bit confused for us we are talking about something that is very human is the capability of judgment and we can have machines that can be doing that and this is another one that we maybe consider to be safe in terms of all the contest of the digital transformation and maybe this one also in terms of finance so once again I was I really like to make this point very very very clear is is not about the old job mainly what we have so now and be able to understand is in terms of tasks and some of the tasks that could be automatized and some of the tasks that can be replaced by these systems so we arrived to the point in what is happening with our challenge in terms not in the competition between humans and humans but for the first time we are facing different kinds of challenge and even in these types of jobs we are being put side by side in terms of what we can be able to do that will make us the difference between humans and and robots and this is also touching in the point in the way that we understand our life was structured in terms of society and the idea that we have of a job for life and what we can take on this is things are changing so so strongly that we cannot have this let's say utopia idea that we are in in school and we have our students and we even want to prepare for some kind of profession and for starting from there they are completely safe but we are clear see is instead of having one profession what is happened is a mashup of micro jobs different micro job different projects where they are involved but at the same time they are working they have the need also to be learning constantly because they are being challenged for this so this is some kind we are the last generation to know what offline means but somehow we are also the last generation in terms of have this model education work and retirement why are seeing right now if we have this multi-stage life where we have education and then we have an employment on organization we're taking part on the project and we have a transition then we are self-employment so changing so the way that is happening and the same times in terms of education we clear understand what is the context which are moving and if we have this clear understand about the context will be easier for us as teachers and educators to understand that we have the need to change but before I enter in the education topic I will just like to give you some few examples in terms of artificial intelligence is also impacting the media this one is about the fake news and also about the replacement of journalists but another one is in terms not only fake news but also what we call deepfakes and deepfakes is not about writing tests but is the possibility of having a video of someone and using artificial intelligence we can put that person that video say something that he never said or something that he never think or something he never agree but if you can do this with video with artificial intelligence then you can do it also with voice just take a look at the bottom of this slide for example we have what is called this deep voice software but can't call anyone voice within just less than four seconds of audio so we don't need so much in terms of the things that are being used in here so this is very challenging sometimes we have to have to be clear understand here I cannot show you the video but you you have the link to the video is using artificial intelligence picking up just one single image you will be able to give life to this image and we can put this image like they were alive this is just an example of a geoconda and then you can explore it in terms in terms of of the video the same one in terms of media and I have been showing you this slide before in terms of writing the fake news so these fake news are produced not by humans but are produced by these machines now I would just like to ask you again just two few two questions I'm showing two two image and I just want to ask to you if these two image are from real persons or not so this is the first one you can use the chatbot again and you can just tell me if this is a real person a real kid or not we'll be very interesting to hear from you just to have this clear notion okay because we are just running a little bit of time I will just move to the next one and once again I will ask you if you consider that this is this is a real person or not some of you are saying yes some of you are saying no okay great none of these two pictures that you are seeing there they are not real persons there are pictures created by AI and you can explore this because this is produced using a particular type of deep learning machine learning and if you go to this website here the website I think you can see it is this person does not exist and every time you refresh your browser AI will create a new face will create a new person so we are clear in times that have some challenge to us that is very very difficult even for us to clear know what is real and what is not real the next one I don't know this is is not playing the video but you can see here down here this is pre-models but this this is I take this from a Chinese startup and what they can do with artificial intelligence they can create in real time different models they can be using different clothes and so on so they can produce this kind of virtual fashion moments with models without the need of human models another example is in terms of art and you remember the slide I think it was the 13 if I'm not completely wrong about that image and that I was asking to you that was related with artificial intelligence artificial intelligence or not and as I said to you all that image they have something related with artificial intelligence and this one this particular one it was created by an AI algorithm and it was sold and it was sold almost about a million dollars and you would not play what happened was an algorithm that was training and they analyzed lots of lots of lots of different paintings and then they produced this one and one very important question here is as you can see on the slide if AI can create art we will we will own the copyright of this art that is being created you'll be the algorithm you'll be the one that created the algorithm will be the one that created the algorithm just here to give you some basic ideas about the questions that we have in today and of course we know this that we mainly we are living in the bubble for all these interactions and recommendation systems that may of the time we just see what they want us to see and this once again in terms of using all these different concepts and all these different interface that we are using today in the terms for us to clear understand what is real what is not real when we are digital when we are analogic but of course there is also lots of opportunities when we are talking about artificial intelligence and the question is we have to look and have this clear notion about in terms this particular case of the jobs landscape and this is from the World Economic Forum for 2022 and we have clear in terms of identifying what is the the jobs and the tasks and the skills that will be needed and we can see here and of course this is a prediction that the number of jobs that will be raised and created by AI will be around 133 million and the number of jobs that will be destroyed will be around 75 million so we have here in terms of of gain around 58 million jobs so the question here is as I was showing you in the beginning of the presentation and it's not that we don't have jobs the question is what skills we're going to need for that job and the problem is how the educational systems are preparing the students for all these things that have happened and that are being shown here to you and so baby is not a problem the number of jobs but is maybe some shortage of skills that is new jobs that some of them we already know what kind of jobs will be created and for some of them will be very difficult for us to have this clear understanding of the new jobs that will be created and I was telling you there will be around 58 million new jobs by 2022 so maybe one of the advice that we can give you is become more employable than an algorithm because if you can just keep doing the same things in the same way without being able to adapt and be able to be flexible we will not beat an algorithm because the algorithm is working 24 hours a day seven days per week and doesn't need to stop so we need to focus in what really can distinguish us from the machines in terms of problem solving in terms of collaboration in terms of creating a new knowledge in terms of the skills that will be very important and we'll have a key role point in terms of the jobs that will be created and of course we have to be this connection between the art and also the soft skills and just to finish this particular topic some of the advice is like this metaphor that is say you burn yourself before you get conducted and just to make the context of this sentence is you know that Kodak they were like the masters of analogical photos and I don't know maybe 20 years ago or something that was this guy working in the ID in Kodak and he was able to produce the first digital photo picture and that was around 0.0002 pixels and he takes it to the demonstration of Kodak and show this discovery but they say oh no forget that so we will we are let's say um have all this marketing terms of uh analogical photos and so on we are not interested in that a few years after just start to appear the digital machines and so on and we know what happens to Kodak the opposite was term of uber uber see clear that due to digital transformation that they have this opportunity in terms of market so this is some kind of example the way that we need to adapt to this new content and entering in my last topic in terms of education and is what maybe could interest more for us as teachers and educated but we need to understand first the context if you don't have this clear idea of context if you don't have this clear idea what is happening even when someone is asked us to change we all we post the question but why but in terms of educations and the way that we are preparing our students nowadays and this of course there is lots of amazing exceptions in terms when we talk about education in the way that you are preparing our students and even some efforts in trying to change so we can be able to answer all these questions and be able to see the opportunities and for our students to have all these opportunities is sometimes educational system they are too slow in terms of change and that would be not such a big problem 20 or 30 years ago but the way things are happened today with the velocity the exponential growth in terms of change we clearly need to be more assertive and at the same time not taking so much time in terms of what the change that we are clearly needed and we have understanding that what is happening right now is that we need clear of the need to focus in how we are better than machines and we what we are better than machines is our human skills that really makes a difference when you are comparing in terms of the machine um Tom Walsh he wrote this very interesting book and other books related with the education and he focused in four four skills and four skills competence one is the emotion intelligence the second one of course is in terms of creativity the need to adapt that is clearly very important one as I show him to you in terms of the life-stage model and another one is in terms of greed and we need clear need to have these contents happening in terms of the educational system to prepare our students and um you have all our Ari and and you know it about the books and about the talks we are giving and the books almost happens and on all deals he tells that once again we and more than we our students they will have to re-event themselves a lot of times in terms of the challenge that will be posted in front so this means that our educational system could not be slow as it has been along the time and we cannot only only have this kind of format in terms of delivering education in terms of our students and also that is the problem of the gap generation this um sentence is from Justine Agliu and Justine Agliu she is the um pedagogical director of a school in the United States she's the mentor of the district school and he was the first public school in the United States to integrate him uh in the curriculum the thematic on AI from kindergarten to to high school in different subjects working with a different approach and he said me that is the clash let's say from the artificial intelligent generation and us that we are the cassette tape generation so this is the big back gap sorry maybe some of the big gaps that we haven't seen in terms of generations and the way that we have clear understanding also the questions is the importance that we have in terms of the digital and for example if you pay attention to our students and most of them they all have what we call smartphones but nowadays they don't call a smartphone you just call it a phone because for them that is part of their lives it's not the question of this mark it's a question of their gadgets the way that they interact the time that they are outside of the logic world the the the dynamics that they're creating on this digital world in terms of what is meant offline in what is mean online and we have different organizations that are thinking about this and for example we have UNESCO UNESCO is telling us that we need to rethink education in the age of artificial intelligence and and new technologies and I have this in terms of of idea and the way of educational systems and this dynamic is that nowadays with all the smart agents and software and AI and so on the questions is if we teach students like a robot we behave like a robot but the questions is that they will not have these capabilities of a smart robot so robot sorry so in terms what we are designed in terms of what we are proposing nowadays for for education is the difficulty that we have in terms of what we are preparing our students and of course artificial intelligence is very important here but there is some things that we know that are very important in terms of our students to develop so this is nothing new but is the difficulty that we have in creating that the context that are be able for our students to be able to be great communicators to be able to work in environments where collaboration is crucial in terms of they have the skills to do critical thinking and the way that we need them to be creativity so they can add value to the things that that that exist but these things that we clearly understand and we call the 21 century skills even that we are already in 2020 should be more than ever they should be put in first place in the terms that we are thinking about education and I always say that in these four C's there is a C that is missing for me we have of course communication we have critical thinking we have creativity we have collaboration but for us sometimes that has say that is very important and even in neuroscience that is associated with learning another C is missing right here and I this C is a C that is one of the most important things in terms of motivate our students and we need that educational contest in the in the age that we are living through by artificial intelligence is more important than ever and we have the obligation in terms of creating that educational scenarios and educational contest so we are able in terms of preparing our students to face and to live in the world of AI with enormous challenge but at the same time with also lots of opportunities and this in terms of education they need to be inquired they need to question they need to fail they need to learn they need to relearn otherwise they are just thinking in one way that is what machines are very good and in terms of of doing and giving this scenario and giving this some ideas in terms of the way that we are thinking AI in the context of education I would like to share to you and some ideas and some proposals of things that you can start doing to introduce AI in education and to start introducing AI in your classroom and we have to need to have the idea that we are not talked about very expensive technological gadgets or something like this there is lots of things that we can do it even without these all kinds of these computers and all kinds of things that are some kind of very interesting and plug it things that we can do also but I will give you some some examples if you are interested in the play AI and in education but before I go to there I would like to make the reference to three ways that should already start to be discussed and should otherwise start to be integrated in terms of curriculum when we talk about artificial intelligence and when we talk about education and these three different areas as to seem to be related with the first one is learn about AI as I was being presenting in terms of this presentation the world is changing so much that we need to prepare our students so they can live in this AI world and they are able in terms of all the opportunities that are being created the second area is learn for AI and in terms of learn for AI and as I was saying learn about AI and also being creators of artificial intelligence solutions the way that it can adapt on this context and the last one as to be learn with AI what kind of tools platform that are being developed with AI can be using on the classroom and in this particular topic I have lots of concerns and these concerns focus mainly in developing AI solutions that will be used mainly to keep the updated pedagogical strategies that we have nowadays developing these kinds of solutions to platforms that mainly focus on prepare our students to make an exam if you are using AI and to put AI on the classroom with this purpose we are not doing what we really need to do what we need is tools and platform in terms of AI that helps our students in terms of collaboration in terms of communication in terms of critical thinking that we need AI I don't want an AI system in my classroom that put the students in front of the computer you put his head on and he's completely isolated and you just help it or supported by an AI agent or something like this no I don't want that this happened in the classroom where the human factor is completely wiped out it's not the way that AI should be using on the classroom in terms of our students and AI as in in their self the capability is to do more than that the problem is when we have these AI solutions and they are being developed we doubt the participation of teachers and educations and the people that are related with education in terms of this there is this book that I would like to make a reference and it was written by Wayne Owens, Maya Bialik and Charles Fadal and this is a book that always advice to be read for people that is interested in artificial intelligence and education is I really recommend in terms of this book so thinking about our AI should be applied and in these three different topics as I was telling you we need our students to learn about AI they will be needed to create an AI we will need people in computer science that will be creating AI we need our students to learn to live in AI world and we also need to have tools and platforms that help our students in terms of the classroom what we can learn with AI but on the classroom and right nowadays in terms of AI be present on the classroom on 2020 this is like an example of a classroom in the industrial times when due to the shifts of the industrial revolution we need to create this system that gives support to all these needs of education and this is just an image in terms how a classroom at the times look like and maybe we can see some difference or not between our classroom nowadays and don't forget that we are talking about artificial intelligence and we are here talking about machine for the first time that challenge us in something that we consider that we will be exclusive to human beings and we are talking about intelligence and the way that the evolution of education and what maybe we can achieve with artificial intelligence on the on the classroom is instead of this traditional approach where we divide in these different containers that the students according to these cognitive capabilities according to their motivation and so on we'll be able to have a true personalized learning but once again with the human interaction with the support of the teacher not just put the students let's say in the hands of some software agent some AI algorithm and this should be clear one of the goals in terms of using artificial intelligence and education and some of the examples so we as teachers what we can do what we can use in terms of putting AI so they can be used by our our students and here there is different approach and different ways of doing that either on this slide I'm focused in terms of the language interaction a branch of AI that we call natural language processing and one of the examples and there are some examples of schools they have integrated these devices as Alexa Siri and so on in terms of this intelligent digital assistance that could be an example also the chatbots intelligent chatbots that can interact with the students machine translation for example could be another example or even the intelligence people assistance so it is some kind of tools and platform that we can be using on the classroom in terms of integrated AI and be used by our students there is of course lots of platforms nowadays that could that can be used for this this is just one one one of the examples this was developed in MIT and is called a robot tutor and is what integrated in this kind of AI platforms calling ITS or intelligence tutoring systems that can be used in terms of personalizing education for our students another example is from carnage melody university and this is another system that can be also used in an integrating it's called mafia and is one one of the of the examples that can be used and is powered by artificial intelligence of course we have others that we can easily integrate it for example some of you or maybe all of you you you know about Duolingo and Duolingo is mainly an app that helps you or your students in terms of learning different language and is also this kind of support in terms of direct the learning process of the students according to the results and and all the data that you'll be collecting in terms of interaction of the students there is even some some studies that say that the use of Duolingo would be more effective than traditional approach in terms of learning language so this is clear one of the examples I'd like to share another one this is very interesting for math teachers it's called automata and automata is something that you can use on your smartphone you just write an equation and we just point the smart spot with the camera and automatically we have all the solution of course the math teacher we're starting to say oh my god this is very complicated so if the app is doing so my students will not develop what I consider as very important in terms of abstraction and so on the question here is how do we look at the way that we teach math if you have these apps and we have these solutions so the question is not safe no this is forbidden the question is how I think in different strategies and different approach once my students have this because if they have this outside of the classroom and don't have this kind of AI solutions to use inside of the classroom the gap that I was telling you about the artificial intelligence generation and the cassette generation you'll be bigger and bigger and bigger and of course that will be clearly a problem for us and if you want to try AI on on the classroom I will just give you here some examples of something that you can be using with your students this is Mobix AI and this is mainly a recommended system in terms of your interest in terms of movies so what is happening is using this this this platform to just choose a few movies and according to the movies that you choose the system automatically will feed what we think that is connected with with our students and with this platform this could be the start for very interesting discussing with your students or then try to understand what is happening in the background of the systems and the way that they interact with this system another example that we can use with your students also is this platform that is called Talk to Transformers and this is based in one of the slides that I show you about GPT that is able to auto-text generation and with Talk to Transformers you just have to write the beginning of the sentence and when you complete text the system automatically will write the test the rest what is let's say in terms of of of being using so imagine and we are just in the beginning of these AI systems and solutions and they have lots of faults and they are not quite precise as we really like but imagine in terms of the evolution in terms in terms of the velocity after seeing this happen that you ask your students to write about something and then just go to this kind of platform and they put the topics and the test the test is automatically written and even in very original ways so this is something that we have really to think about just some other examples if you want to start use some deep learning algorithms in terms of machine vision in terms of recognizing image sounds and codes we have this one from Google also is called Teachable Machine it's very interesting you don't need to install nothing we you just need a browser and internet a connection and according to the developers none of the information of the data will be collected and you can see clear and explain to your students how this how this kind of algorithms work and the way that they can interact and even for them to have ideas to create other products with this very simple example another one if you want to create some kind of AI solutions and this makes a connection to scratch is called machine learning for kids is another example that you can use and sometimes we also need in terms of a framework that gives you this clear notion about the way that you can start to interact and starting to discuss AI with our students and one of these frameworks was developed by a work group called AI for T12 and they organized this framework in what they call the fifth five big ideas in terms of AI and in terms that we can start introduce AI and this five big ideas they are divided on perception so the way that computers, agents, software perceive the world using sensors the second one is about reasoning and representation the third one is about learning some machines that can learn you give them data and they will be able to learn without human interaction the number four is natural interaction and in this case we have all these examples that I show you about this smart digital assistance and the number five and also very important is about impact the social impact that all of these have in our lives if you are interested on this you have the link here but if you go to google and you just search for AI for T12 you're gonna access all the information or even if you have any question related with this then you can send them and you can contact them and it will be a pleasure for me to talk with you about it another possibility to integrate AI and to start talking about your students about AI and using the these five big ideas I was telling you about AI is to do this short course about AI it's called AI proves me it's translated for you can see here different language and it's completely free and you can use it with your students so you can go to this link here edu.radiai.org slash process.ai plus me and use the students that complete this learning event they even receive a certificate and is a very interesting way a very simple one just one hour time you can put your students have their first contact and try to have their first understand in terms of AI in the classroom so this is a very interesting in terms if you want to start to do that that will be a good idea and just to finish because I think I'm almost in the end of my time is what could be a possible way in all these things that I present to you and all these things that are happening and the way that we are challenged in terms of this artificial intelligence and clear understand we are not talking about this terminator machines or something like this is the way that we really need to understand what is happening outside of school and this is mainly some of my thoughts in terms of this and I just pick up this sentence from Yanlokun and Yanlokun is one of the most important experts in terms of deep learning you just won the allen two in the world last year with two more experts on the area and the for me say something that is very very interesting is our intelligence is what makes us human and AI is just an extension of that quality so we should be focused on AI to extend our intelligence not focus on AI to replace human intelligence and this I think is one of the most powerful message that we can pass to our students are really connected with this and we could not forget that our students they will be the engineers of the future and they will be creating AI solutions there is lots of other things that is very important to discuss with your students about ethics about bias and so on that are built in on the artificial intelligence systems but this will be another another discussion so but this is one of the very important things so in my opinion what we need is to have the artificial and the human intelligence and they combine they have to augmented our intelligence and if they augmented our intelligence we will be be able to create amazing things and nowadays we have cleared some big big challenge that they are facing right now is a challenge related with climate change and another very important things and we really need in terms of have these capabilities using together in terms of artificial and in terms of human intelligence so what we hope is with this boom that is happening in terms of digital transformation in terms of artificial intelligence that we as humans we can choose the right the right way we can choose the way that will guide us not with this I think this cover of the New Yorker and what Yuval Arari called in one of these books that you be in the users class if you don't pay attention in the way that artificial intelligence is being developing and what he tells about users class is not the people that struggle to live because they have a job and they receive a very low wage is people that are not interested anymore in society because machines can do with the job that people were doing before and we we humans decide not technology technology don't have at least now the capability to decide and we can go in the way to a new Renaissance movement or if we are not aware we can enter and what we can call a digital dark wage but I think for sure that we as humans will be wise enough to choose the right way and that we'll be able to do it and just this last slide that is thin that is very important for us as teachers and educators that we will never forget that one of the most dangerous sentence in the language the language is we think that we haven't always done it this way but this time we are able to do it on the different way because what we are seeing all the challenge they are by far very very impacted and you have a tremendous impact in our lives thank you this was what I have to share here with you and I just hope that is not the end maybe just the beginning of the great adventure thank you thank you Mark thank you Marko thank you very much unfortunately we ran out of time so there's no room for questions but I just want really to thank you because with a pretty good journey this presentation it was really interesting to see how the your introduction triggered a lot of common fears and ups in our participants starting with the fear of losing control of our privacy and the ethical element of responsibility in the development of artificial intelligence and then moving on the real or perceived contraposition between a curriculum based on skills or knowledge and finally I really really appreciate your final remarks your final remark about how important the human factor is when we talk about artificial intelligence and I can see how our participants really stress out the fact that one key element is always not only the human factor but the teacher factor so without the innovative teachers nothing really can happen in classrooms and I would like to move to this final slide because we really really appreciate if you could fill in the survey I'm sorry the feedback survey and at the end of the completing the feedback survey you will have access to the link to download your certificate we will leave this slide on for the next 24 hours if you have any difficulties in completing the survey and download the certificate please do not hesitate to get in touch with our support services on school education getaway Marco again thank you very much I don't know if you want to add anything very briefly once again I would just want to thanks again for the opportunity it was a big pleasure to be here to share about what I think and I consider and was understandable during the presentation something that is really important and we as educators and teachers we need to be aware and to pre-understand what is happening so we can clearly use education to prepare our students not only for the future but for today and of course it's always very important when we have the opportunity to share what we think about the tremendous amazing things that are happening right now yes yes okay so once again thank you very much for joining us and thank you Marco of course I shared in the chat box again a link to the podlet so the conversation can keep continuing there and I hope to see you all to the next teacher academy webinar that we will announce soon on school education getaway so again thank you very much and see you to the next webinar goodbye