Designer in Residence

Period: Isolation, COVID-19.

Location: Home, London.

 

We have entered in a whole new  digitalised world, increasingly experiencing the effects of technology in our daily life. We, humans, are not only relying on technology to ease our life, but also to compensate for the lack of human interaction we experience on a daily basis.

 

In this series of short fictional films, I intended to explore from a critical perspective how this fully digital environment could affect our behaviour.

Will we adapt and thrive in these automated environments?

What is left from our elementary senses and emotions?

 

2020

Relying on current technological advances such as Machine Emotional Learning, the democratisation of home assistants and the widely used online dating technologies, I narrated three scenarios, each exploring one of these aspects by targeting a specific moment which we can all connect to.

 

This project aims to raise debates on how much we should use these technologies and to question our relationship with it.

 

The more advanced the technology evolves, the less human we become and the more human-like the technology develops, the less sensitive we are.

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The circadian rhythm is our internal process that regulates the sleep-wake cycle and which repeats every 24 hours. It has been discovered that environmental cues such as light can alter the natural cycle.

 

In our digital era, lights screen has massively affected our natural clock unintentionally, creating what we call Circadian Rhythm Disorder, which can on the long term, damage your metabolism, intellectual capacities and change your behaviour.

 

Giving the circonstances of the isolation and our dependance to screens, I intend to explore to what extend Human beings could alter the Circadian Rhythm to fit their own need ?

 

  • What kind of relationship do we want with our senses ?

  • What place our technology should take in this ?

 

With this episode, I intend to create a debate about whether this kind of future is right or wrong, and what can we change now in order to modify or maintain this possible scenario.

 

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Humans are social creatures. However, our extensive use of technology has generated a new kind of relationship which exacerbates our tendency to self-isolation.

As we are getting more and more detached from our primary social instinct, I interrogate to what extend would this artifice stop benefiting us to gradually becoming a trap. 

 

This short film is an attempt to narrate a near-future dystopian scenario, where humans would have to figure out by themselves how to counteract the lack of physical interaction. In a desperate way of re-discovering these lost sensations, I explore how this pursuit of physical interaction/connexion could affect our own sanity.

  • How would we survive in a world where technology is not the answer?

  • Would it still be possible to thrive without the help of technology?

 

Music 'Dans ma main' by Jean Michel Blais.

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With the uprising technologies such as Artificial Intelligence, Deep fake or Machine learning, the way we are using the internet is shifting rapidly.

Whilst Deep Fake fascinate as much as it scare people for the frightening possibilities it can offer, Artificial Intelligence and Machine Learning are widely used all over the internet by private corporations for personalised content, but also by public services for optimisation purposes. These technologies are based upon the collection of data to improve their performance: the more used, the more realistic and accurate it becomes.

Deep Learning (a type of Machine Learning, derived from Artificial Intelligence), trains a computer to perform Human-like tasks. Instead of organising data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognising patterns using many layers of processing.

That said, these technologies learn from the way we behave as humans. Machine Emotional Learning is trained to recognise and analyse our emotions, and is currently used as a tool in few industries to target a maximum of consumers. Thus, they are adapting to us, and we create according to them.

 

As we are rapidly but inevitably shaping our world around the digital, now is the time to engage with the use of these technologies out in the open.

 

  • To what extend are we willing to give away our privacy for the purpose of optimisation? 

  • What if everything that is shown to you is the result of your extreme personalised algorithm?

  • What sort of effect could it have on the long term?

  • Is it a safer and unprecedented educational tool? or a manipulative way of restricting our critical mind?

In this last episode, I intend to explore what an extreme and democratised deep learning could look like on the scale of an individual, in order to raise an open debate about the use of them.