Skip to main content

Spv: Anna-Kaisa Kaila

Project 1: Risk analysis of creative AI Media Productions


Artificial intelligence plays an increasingly important role in various types of creative media and art productions. However, as an upcoming technology in the field, the socially sustainable ethical and legal frameworks of the creative use of AI-enabled tools use have yet to be established. This leaves producers and artists utilising AI vulnerable for risks ranging from production delays to reputational and brand damages and in the worst case, legal penalties for copyright infringements.


In this project, specific ethical and legal aspects of the current creative AI media production practices will be explored, for instance authorship/ownership, access/exclusion and control/exploitation, as well as fairness and diversity. Practise-based observations are then further developed through the analysis of the existing ethical guidelines for AI (HLEG 2019, among others) and their application to creative platforms. This forms the basis for a structured risk analysis for AI media productions and guides the formation of best practices recommendations that will support the evaluation and implementation of ethically sustainable decision-making in the field.


A small group of AI-enabled media production teams will be selected as the starting point of the project. This could comprise a range of media and/or art genres from music to visual arts, video and performance. Applicable methodology includes user studies, interviews, ethnographies or interactive workshops with media producers and/or artists, as well as suitable qualitative and quantitative methods for risk analysis.

Initial references

  • European Commission. Ethics guidelines for trustworthy AI. AI HLEG, 2019.
  • Coeckelbergh, Mark. AI Ethics. MIT Press, 2020.
  • Holzapfel, A., Sturm, B., & Coeckelbergh, M. (2018). Ethical dimensions of music information retrieval technology. Trans. Int. Soc. Music Info. Retrieval, 1(1), 44-55.
  • Caramiaux , Baptiste 2020. The use of artificial intelligence in the cultural and creative sectors. European Parliament Directorate General for Internal Policies of the Union. Examples of AI tools for artistic and creative work:

Supervisors: Anna-Kaisa Kaila and Andre Holzapfel