About

Artistic intelligence refers to the collective capacity of artistic and practice-based research to generate impact and value beyond the project-specific, singular outcomes of an individual project. 

This COST Action explores value propositions based on the data, information and knowledge that emerge from the relationships between artistic research projects, research practices, and research cultures that are usually excluded from or ignored by conventional evaluation schemes.

Artistic and practice-based research is increasingly called upon to enable cross-disciplinary research to address complex societal challenges in collaborative ways. However, most of this research is currently conducted in isolation from the work of related or relevant researchers who have already addressed similar questions or come to different conclusions – let alone the potential for linkages with other forms of scientific research.

As a result, even new projects tend to de-prioritise referencing, contextualising their sources and referring to a state-of-the-art that might even include results from other disciplines. On the other hand, the methods and results of research are difficult to trace and access for anyone who has not been involved in the process.

The Action responds to the lack of common standards, challenging isolated, non-referenced research processes across the arts and culture. It aims to link emerging initiatives in practice-based research by exploring current technological possibilities for accessing, linking and validating them within a common framework of artistic intelligence.

Action Details

  • MoU - 071/24
  • CSO Approval date - 17/05/2024
  • Start date - 30/09/2024
  • End date - 29/09/2028

How can I participate?

  • Read the Action Description MoU
  • Inform the Main Proposer/Chair of your interest (email)
  • Apply to join your Working Groups of interest
  • Please note, Management Committee nominations are carried out through the COST National Coordinators

Specific Objectives 

To achieve the main objective described in this MoU, the following specific objectives shall be accomplished.

Research Coordination 

● To iteratively apply, refine, and extend a dynamic analytical matrix for situating, articulating, and relating the principles and lessons gleaned from systematically analysing artistic research. 
● To develop a provisional framework for knowledge transfer surrounding the analysis, exploitation, and application of artistic practices (and practice-based research more generally). 
● To lay key foundations for more transparent uses of ML/AI, which emphasise the values of responsiveness, equity, accessibility, and responsibility. 
● To develop a prototype reference framework capable of grasping the emerging roles of artistic research in enabling viable, sustainable, and equitable adaptation to the digital shift. 
● To foster principles, processes, approaches, and aims to provide numerous mechanisms to form lean and agile transnational teams of researchers.

Capacity Building

● To establish a research network dedicated to using emerging computational techniques to large-scale corpuses of artistic research in order to identify potential value propositions.
● To nurture wider interest networks of diverse institutional and non-institutional stakeholders who recognise the broad potentials — theoretical, discursive, practical, etc. — of systematic analysis of artistic research (and/or other complex subject-area corpuses).
● To foster the career development of young researchers and innovators working within the field of Artistic Intelligence, with an emphasis on ITC participants, gender balance, age and geographic representation.
● To extend and expand existing capacities, such as the Research Catalogue, to overcome technological and epistemological barriers, and to promote open accessibility, equitable approaches, cultural and disciplinary responsiveness, and societal responsibility.

 

Access the MoU below

Document
memorandum.pdf (458.53 KB)

 

 

Working Group 2 - Collective Intelligences

How can various efforts in art and culture that make use of machine learning and generative
algorithms contribute to shared responses to societal challenges?

Working Group 2 is led by Prof Florian Schneider.

Working Group 3 - Reference frameworks

What dynamics in next-generation platforms are distributing cultural products and the results of artistic research? Are they practically extending to involve rich media as well as forms of expression that cannot be reduced to text? What are the current taxonomies in use and how can they be improved?

Working Group 3 is led by Mr Casper Schipper.

1st General meeting and 2-day event in Porto

10 April 2025
Activities will take place at the Faculty of Fine Arts of the University of Porto, Portugal. All the sessions will be hybrid and the public events will be available remotely with the links provided.