Event Details

In this seminar, Dr. Ivan Magrin-Chagnolleau will explore creativity from multiple perspectives, including phenomenological and enactive approaches, and their applications in mental health and art pedagogy. He'll explain why AI algorithms can't be truly creative based on criteria like novelty, surprise, and value, but can still be excellent collaborators in the creative process.

By presenting examples from research and personal artistic experience, he'll highlight how AI algorithms can be a great tool for human creativity. The seminar aims to deepen understanding of creativity's complexities and the potential for human-algorithms collaboration in artistic endeavors.


Date: July 17, 2024


Time:

8:30AM New York

1:30PM London

8:30PM Beijing

10:30PM Sydney


Location: ZOOM


Language: English


Curator: Dr. Krystal Demaine



**This event will be recorded. Registrants will receive the recording link via email after the live session.**

Webinar description

In this seminar, Dr. Ivan Magrin-Chagnolleau will explore creativity from several angles. We will delve into a phenomenological approach to creativity, examining its application to both mental health and art pedagogy. The phenomenological method emphasizes the importance of personal experience, making it a valuable framework for understanding how creativity operates in different contexts. By adopting this approach, we can gain insights into how individuals engage with creative processes in therapeutic settings and educational environments, highlighting the significance of lived experiences in fostering creativity.


Additionally, he will present the paradigm of enaction as an excellent template for describing creativity as a cognitive process. The enactive approach posits that cognition arises through a dynamic interaction between an individual and their environment. This paradigm shift allows us to view creativity not as a static trait but as an emergent property of active engagement with the world. By applying the enactive paradigm to art-based mental care and art-based pedagogy, we can better understand how creative expression can enhance mental well-being and learning outcomes. This approach underscores the importance of embodied experience and participatory engagement in cultivating creativity.


Furthermore, he will explore the limitations of artificial intelligence (AI) in achieving true creativity. Despite the advanced capabilities of AI algorithms, they inherently lack the ability to be creative by definition and construction. He will examine the three criteria commonly used to define creativity—novelty, surprise, and value—and revisit these criteria to demonstrate how they preclude AI algorithms from achieving genuine creativity. Novelty requires the production of original and unique ideas, surprise entails the creation of unexpected and insightful outcomes, and value necessitates the generation of work that is meaningful and impactful. AI algorithms lack the subjective experience and intentionality required to fulfill these criteria.


However, AI algorithms can serve as a valuable collaborator in the creative process. Dr. Ivan Magrin-Chagnolleau will illustrate this with examples from recent research projects and his own experience as an artist. By leveraging AI algorithms as a tool, human creators can enhance their creative endeavors, using AI algorithms to generate new possibilities, explore alternative solutions, and augment their artistic practice. By integrating AI algorithms into creative workflows, we can expand the boundaries of artistic expression and explore new frontiers in both art and technology.


In conclusion, this seminar aims to provide a comprehensive exploration of creativity through the lenses of phenomenology and enaction, while also critically examining the role of AI algorithms in creative processes.

Attendees learning outcomes

  • How to use creative arts in the context of mental health issues;
  • The framework of institutional psychotherapy and therapeutic clubs;
  • How to use experiencial art as a method of teaching;
  • What is phenomenology and how to look at creativity from a phenomenological point of view;
  • The paradigm of enaction and its application to mental health and pedagogy;
  • What is creativity and its criteria of novelty, surprise, and value;
  • Why AI algorithms can not be creative;
  • How humans and AI algorithms can collaborate in a creative process.

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