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Thesis Info
- LABS ID
- 00906
- Thesis Title
- Synchronization of the Imaginaries. How Machine Learning is Changing the Way We See the Globe
- Author
- Aurora Bertoli
- E-mail
- tolirora AT gmail.com
- 2nd Author
- 3rd Author
- Degree
- Master
- Year
- 2020
- Number of Pages
- 157
- University
- IUAV, University of Architecture in Venice, Italy
- Thesis Supervisor
- Emanuele Arielli
- Supervisor e-mail
- Other Supervisor(s)
- Language(s) of Thesis
- Italian
- Department / Discipline
- Visual Art
- Copyright Ownership
- Aurora Bertoli
- Languages Familiar to Author
- Italian, English
- URL where full thesis can be found
- Thesis available upon request
- Keywords
- Machine learning, imaginary, synchronisation, aesthetics
- Abstract: 200-500 words
- In the late 1950s machine learning emerged as a form of pattern recognition and prediction of the user experience. From the first model built by Arthur Samuel, aimed to win the game of checkers, this technology evolved inside daily use platforms and social media with the purpose to captivate user attention. This thesis intends to explore the impact of machine learning from the aesthetics prospective, analyze how is affecting images circulation and then imaginary formation.
Since the beginning of the repositioning of the images inside the online space filtered by algorithms, the equilibrium between imagination and imaginary has undergone a change. I will speculate that this mutation it will guide towards a synchronization effect between users and technology.
From the subject side I will explore the importance of the images during the individuation process and how the personalize online experience modify the perception of the self and the world around each of us. Taking into account the filter bubble theory, I will suggest a tribe prospective, with similar people more and more synchronized. A further synchronization it will be observe with the machine learning and the data bias that emerge inside its mechanism. I will call this bias "algorithm imaginary", an imaginary with human roots that is spreading social stereotypes and prejudices inside the online space.
From the collective side I will analyze a case study, stressing the importance of the online platforms for the circulation of a common imaginary and how the mechanism of this technology could be use to reach a great number of people. I will show an increase of the delegation process concerning the imaginary formation and, on the consequence, a tendency towards an imagination atrophy.
The aim of this thesis is explain the machine learning in a different prospective, showing it not just like a technology, but like a lens by which we see the globe.