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MishMash is a large Norwegian consortium dedicated to exploring the intersection of AI and creativity. Our primary objective is to create, explore, and reflect on AI for, through, and in creative practices. We will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems, and address AI’s ethical, cultural, and societal implications in creative domains.

MishMash explores the meeting point of humans and machines with art and science

Why?

Human creativity has both shaped and been shaped by technological developments. Today, human creativity faces unprecedented challenges and opportunities brought by Creative AI, machine systems that can produce results that are both novel and meaningful. This raises several important questions: to what extent are Creative AI systems genuinely creative, how do they differ from human creativity, and how can humans and machines be co‐creative? Furthermore, what are the societal implications of Creative AI, how will producers’ and consumers’ attitudes towards AI‐generated creative content develop, and how can creative approaches to AI have an impact beyond the cultural and creative sectors?

We view artistic exploration as an excellent entry point for engaging in critical discussions about AI and its implications for human‐machine interaction and society. Artistic research has been integral to computer‐based AI development since the early days of computer science, exemplified by early rule‐based systems for music composition and painting. Today, learning-based systems can produce all sorts of artistic products, and several have become popular commercial products, such as Dall‐E (images), ChatGPT (text), and Suno.ai (music).

MishMash aims to expand current knowledge and pioneer new CoCreative AI systems that allow partnerships between humans and machines. We believe researchers and practitioners from creative disciplines are uniquely positioned to develop AI‐based technologies and to do so responsibly, reflecting on their ethical challenges and potential drawbacks.

There are many possibilities with Creative and CoCreative AI systems, but also numerous challenges and knowledge needs:

How?

MishMash will bring together a large multidisciplinary and cross-sectoral group of researchers and practitioners from the arts, humanities, social and natural sciences, design, and engineering. MishMash organises its theoretical and methodological “mishmash” into a structured “mesh,” where projects and activities intersect across themes, approaches, and perspectives.

MishMash cube

The WPs are designed around seven core themes, addressing the challenges outlined in the previous section. While some WPs focus on leveraging AI in creative—primarily artistic—applications, others explore the innovative use of AI in adjacent domains, fostering a dynamic interplay between art, science, and society. The work will be conducted by combining a multitude of scientific and arts-based theories and methods, which can be summarised in three interconnected research approaches:

The centre will be a lively, virtual research environment, with weekly online meetings, biweekly work package check-ins, monthly thematic seminars, regular public workshops, life-long learning events, and bi-annual symposia with lectures, performances, and exhibitions.

What?

When?

The plan is to formally start the centre in December 2025, recruit doctoral and postdoctoral fellows during the spring of 2026 and get up to full speed from the autumn of 2026.

MishMash Gantt chart

Who?

Management group

Ida Jahr, Daniel Nordgård, Alexander Refsum Jensenius

MishMash will be directed by Alexander Refsum Jensenius (UiO) together with deputy directors Ida Jahr (INN) and Daniel Nordgård (UiA). (Photo: UiO)

Work package leaders

Work Package Lead Sidekick 1 Sidekick 2
WP1: AI for artistic performances Kyrre Glette (UiO) Ivar Grydeland (NMH) Georgios Marentakis (HiØ)
WP2: AI in artistic processes Budhaditya Chattopadhyay (UiB) Sashi Komandur (INN) Synne Tollerud Bull (Kristiania)
WP3: Creative use of AI for health and well-being Claire Ghetti (UiB) Andreas Bergsland (NTNU) Jonna Vuoskoski (UiO)
WP4: Creative use of AI in education Eirik Sørbø (UiA) Sidsel Karlsen (NMH) Fredrik Graver (INN)
WP5: AI in the Creative and Cultural Industries Ragnhild Brøvig (UiO) Irina Eidsvold-Tøien (BI) Jon Marius Aareskjold-Drecker (UiT)
WP6: AI for cultural heritage Ingrid Romarheim Haugen (NB) Arnulf Mattes (UiB) Olivier Lartillot (UiO)
WP7: Human-centric AI for Creative Problem-Solving Carsten Griwodz (UiO) Baltasar Beferull‐Lozano (SimulaMet) Kjetil Nordby (AHO)

Scientific Advisory Board

Partners


+ Norwegian research partners

+ Other Norwegian partners

In alphabetical order:


+ International partners Numerous international academic and non-academic partners will also be involved, and we will set up an affiliate program for others to join the network and participate in relevant activities.

Funding

RCN logo

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