General track: Artificial Intelligence: impact on cultural policy, management, education and research

Education and Research Session 2023

AI is influencing cultural policy in various ways. For instance, AI-powered tools can provide policymakers with insights into the cultural and creative sector's economic impact, helping them make informed decisions about funding and support. Additionally, AI can assist policymakers in identifying and addressing issues related to diversity, equity, and inclusion in the cultural sector. AI is also transforming the management of the cultural and creative sectors. The use of AI and digital technologies has indeed revolutionized the cultural and creative industries (CCI) (Caramiaux, 2020; Murphy, 2019; Pisoni et al., 2021) and their link with other sectors and fields. It has disrupted their value chains (Fuglsang, 2023), triggering new cultural policy and management reflections (Robinson, 2020; Townse, 2020), and offering new educational opportunities and threats that need to be further explored in terms of their ethical and educational approaches (Malik, Tayal & Vij, 2019). AI-powered tools can analyze data on consumer preferences and market trends, helping cultural organizations make informed decisions about programming, marketing, and audience development. Moreover, AI can automate administrative tasks, freeing up time for creative professionals to focus on their craft. The whole cultural and creative sectors are therefore experiencing an unprecedented opportunity for innovation but also on reflection on the potentialities and threats of these technologies. AI is changing the way we learn about and engage with culture. For instance, AI-powered tools can enhance the learning experience by providing personalized recommendations, feedback, and assessment. Additionally, AI can help educators in the field of cultural management and policy design and deliver more effective and engaging educational programs. Finally, AI is revolutionizing research in the field of cultural management and policy. AI-powered tools can analyze large data sets, identify patterns and trends, and generate insights that can inform research and scholarship. Moreover, AI can enable new forms of interdisciplinary research by facilitating collaboration between cultural researchers and experts in fields such as computer science, engineering, and data analytics. In conclusion, AI is having a profound impact on cultural policy, management, education, and research. As AI continues to evolve, it will undoubtedly play an increasingly critical role in shaping the future of culture and creativity.

The contributions to this track could address, but are not limited to, the following topics:

  • Opportunities offered by AI as a tool for innovation and growth in the cultural and creative sector
  • How CCIs are experimenting with AI-powered tools and technologies to enhance learning and creativity
  • The ethical, legal, and social implications of AI in cultural policy, management, education and research
  • Best practices and successful case studies in AI-powered culture, policymaking, education and research

A special issue of the European Journal of Cultural Management and Policy on this topic will potentially be organized, welcoming papers presented at this general track of the ENCATC Education and Research Session. 

Main references

Caramiaux, B. (2020). Research for CULT Committee-The Use of Artificial Intelligence in the Cultural and Creative Sectors (Doctoral dissertation, CULT Committee, European Parliament).

 Fuglsang, L. (2023). Cultural and Creative Industries. Elgar Encyclopedia of Services, 30.

 Malik, G., Tayal, D. K., & Vij, S. (2019). An analysis of the role of artificial intelligence in education and teaching. In Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th ICACNI 2017, Volume 1 (pp. 407-417). Springer Singapore.

 Murphy, Oonagh. (2019). The changing shape of museums in an increasingly digital world. In: Mark O'Neill and Glenn Hooper, eds. Connecting Museums. Abingdon: Routledge. 

 Pisoni, G., Díaz-Rodríguez, N., Gijlers, H., & Tonolli, L. (2021). Human-centered artificial intelligence for designing accessible cultural heritage. Applied Sciences11(2), 870.

 Recuero Virto, N., & López, M. F. B. (2019). Robots, artificial intelligence, and service automation to the core: remastering experiences at museums. In Robots, artificial intelligence, and service automation in travel, tourism and hospitality (pp. 239-253). Emerald Publishing Limited.

 Robinson, S. C. (2020). Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI). Technology in Society63, 101421.

Towse, R. (2020). Creative industries. In Handbook of Cultural Economics, Third Edition (pp. 137-144). Edward Elgar Publishing.