00:04 The project is a collaboration between the BCBL with Manuela and Marta,
00:10 as representatives of the project and I (Laura MM) am involved as an artist,
00:16 and it deals with cognitive conflict.
00:23 Cognitive conflict is not the kind of conflict that we can understand to be like wars or anything like that.
00:28 It’s more the violation of expectations, surprises,
00:32 events that are incongruous, images that surprise us.
00:40 Now I’m going to put a bit of gel on you, so that we can record what’s going on in your head.
00:46 Our brain doesn’t just process what’s going on; it also anticipates.
00:51 The brain is ready not just to predict things on the basis of recognising pattens,
00:55 but also to detect when something is incongruous.
00:59 So, the brain predicts something, detects the mistake and adjusts its new predictions.
01:04 These are eye movements. You can see the square wave that comes and goes.
01:13 Cognitive conflict, in classic psychology, has always been thought of as something negative,
01:21 but in actual fact it can be positive…
01:23 …because you can enjoy it, in some ways,
01:29 and it can be seen as a window of opportunity to restructure our mindset,
01:36 …and our strategies to adapt to the world.
01:41 In the world of art the violation of expectation is already being used to a certain extent.
01:47 In their experiments, they have made use of incongruous images
01:50 that have been used in advertising,
01:53 because this methodology based on surprise means that you remember this image
01:59 or the message that it is conveying to you more clearly.
02:03 They put forward the argument that this can also be a bit of a learning opportunity.
02:07 So, the question emerges from this conversation:
02:09 how does the brain react or how can it react to a work of art that is, say, more abstract?
02:16 We are going to bring the experiments and the cognitive conflict tasks that the BCBL
02:21 makes use of in its laboratories to the museum.
02:24 The responses provided by users to these games will mean that an artificial intelligence device
02:29 can learn from these and generate a unique piece of work that is receptive to each of the participants.
02:38 ‘Goldilocks’ is a fairy tale in which a little girl wants her food
02:44 at just the right temperature, not too hot and not too cold.
02:48 So, she tastes the different bowls of food and chooses the one that is just right.
02:54 So, how can the sweet spot for this concept be described?
02:57 It’s a concept that is a bit variable.
02:59 So, in our scientific project we have used this metaphor
03:03 to explain the ‘sweet spot’ of cognitive conflict.
03:11 AI is going to appear as a children’s digital entity
03:15 that is going to ask them to play with it.
03:16 As this is a new kind of artificial intelligence, we have tried to make it in childhood mode,
03:23 not frightening, accessible, and that people want to engage with it…
03:29 This artificial intelligence has no taste of its own,
03:32 it’s going to gradually create this as the exhibition progresses.
03:35 Once people interact there is going to be a final part in which AI is going to create a piece in real time.
03:44 We are approaching the time that we are historically going through now,
03:48 where we are starting to train artificial intelligence devices.
03:51 We can consider that today artificial intelligence devices are at the start of their lives,
03:56 just like the character in the installation,
03:58 that is C, this artificial intelligence entity which is a little girl or some children.
04:04 In the same way, we are now training this software,
04:07 and these algorithms that generate answers that we don’t know where they are going to take us.
04:12 here is a similarity between the story of this girl who wants to be an artist
04:17 and creates a generative work of art, and ourselves as a society,
04:21 as we are mothering and raising these kinds of artificial intelligence that are at the start of their lives.
04:32 Right now, what we’re working on is the method to do this.
04:35 We can do it digitally, using digital media, screens, joysticks, buttons…
04:42 but it can also be done analogically by using sensors.
04:46 These days are helping to share the projects with the Medialab laboratory community,
04:52 as well as to generate an exchange of experiences in some ways.
04:57 We have been looking at electroencephalography-related topics
05:01 so that users can interact with the piece in the exhibition,
05:06 and we are testing how these signals can be shown on some software that we have built.
05:16 The project that we are trying to carry out is also in some ways foreseeing what is coming:
05:19 a really powerful neurotechnological movement, which involves tracking cognition.
05:24 And if you display these data as icons, an individual can understand much better
05:29 how it is processing their daily life, or a specific activity.
05:34 It is really important for there to be times when people with different profiles come together
05:38 to look at the same problem and provide different solutions and try out different things.
05:57 In the first of these areas, each visitor is going to find
06:00 some tactile sensors which are three tablets.
06:03 On each one of them there is going to be a different game and these games are going to interact with a centrepiece
06:10 that is a cradle in which there is a screen, and an image is going to be generated on this screen by artificial intelligence
06:17 and the data obtained from the games on each tablet.
06:24 It is quite simply a piece that changes in response to the people that attend the exhibition.
06:29 In the end, it has not been possible to use the diadem in this exhibition
06:32 because it is a technology that is too sensitive
06:34 for it to be in use throughout the entire period of the exhibition
06:37 and it was replaced by these touch tablets.
06:41 However, both the Diadem team and the BCBL team together with me
06:47 are considering the possibility of extrapolating it to future workshops and exhibitions
06:51 in order to be able to continue researching into this subject.
06:58 The centrepiece is this cradle, in which there is a screen
07:02 where we can see this generative art work
07:04 that is created through interactions with users.
07:08 In the field of the arts there is a long tradition of generative art works
07:13 but, undoubtedly, the development of artificial intelligence poses new questions
07:17 because it raises new horizons for development.
07:20 And what is happening to us is that we have a technology
07:24 that is developing much faster than our ability to understand it
07:27 and even more quickly than our capacity for conceptual or discursive production.
07:30 We have no words or vocabulary or concepts
07:33 to understand what we have to call them and how we have to relate to these forms of intelligence.
07:38 We could even ask ourselves whether the word “intelligence” is the right way to call them…
07:42 because they are really algorithms.
07:49 This piece has something really important,
07:51 which is that we are going to gather data that are then going to be used in real studies.
07:57 These are tasks that we normally use in a scientific environment
08:01 to answer scientific questions.
08:03 So here we have an incredible opportunity
08:05 to measure the response of a lot of people playing with our tasks.
08:18 It is also important to understand that what is going to be shown afterwards in the exhibition hall
08:21 are not finished works, but are prototypes; they are the result of a process
08:26 and of a development stage that is not necessarily the final development of each project.
08:32 And this is Art, Science and Technology:
08:34 setting different types of knowledge to work together
08:39 on projects led by artists,
08:42 to meet political and social challenges.
08:46 Our world is more and more complex
08:48 and we need different forms of knowledge
08:51 to start working together
08:54 to imagine different futures.