Soenke Zehle, Sónia Alves, David Crombie, and Esko Reinikainen
Across the creative sector, technology has long been an integral element of creative work. Focusing on the role of deep technology in how we organise learning for complexity and transformation, the members of the CYANOTYPES research network imagine new competence ecosystems for the creative sector to support artists and other creatives as agents of change.
What are the futures of human-machine relations in creative work? How do we identify necessary skill sets? How can we co-create curricula? How can we organise learning processes for a diversity of learners and contexts—our conversation about the futures of learning has become a (systems) design conversation.
We encourage systems designers to become part of our conversation, especially because the most recent wave of data-driven platforms and other deep tech applications has refocused our research to include the question of (re)generative systems design. We believe that generative design is misunderstood if it is used to refer to semi-automated creative work of generative platforms with operations based on large language models that are trained on data sets from so-called high-resource languages. Instead, we want to shift the conversation of (technology-assisted) learning to regenerative systems that can nurture and sustain the diversity of our collective agency and intelligence.
The term we have chosen to explore such complex entanglements is triple loop learning—a co-creative view of learning that integrates its individual, organisational, and ecosystemic dimensions to support self-organised and facilitated learning across existing and emerging competence ecosystems of the creative sector and beyond.
KEYWORDS: arts-and-technology, entanglements, triple loop learning, regenerative systems, competence ecosystems, deep tech, collective agency, collective intelligence, systemic design, socio-technological systems
RSD TOPIC(S): Learning & Education, Methods & Methodology, Policy & Governance