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AI and the Creative Condition Conference open for registration

TEXT and HAIC-III are hosting a conference in March 2026.

Together with HAIC-III, we are organizing a two-day conference focusing on AI and creativity. It will be two days filled with exciting speakers, debates and networking.

Register here:

Practical:

  • Location: AIAS, Aarhus University
  • When: 23-24. March 2026
  • Price: DKK 250-1000
  • Registration deadline: 8 March 2026
  • Call for papers deadline: 15 December, 2025

Confirmed speakers:

  • Roger Beaty, Pennsylvania State University
  • Nina Begus, University of California, Berkeley
  • Kyle Booten, University of Connecticut
  • Katy Gero, University of Sydney
  • Karin Kukkonen, University of Oslo

Tentative program:

Day 1: Monday 23 March, 2026

  • 9:30: Registration and light breakfast
  • 10:00: Welcome
  • 10:10: TBA
  • 11:05: Short break
  • 11:15: 3 presentations (3*25min) TBA
  • 12:30: Conference photo and lunch in Mathematical Canteen
  • 13:45: TBA
  • 15:15: Coffee
  • 15:45: TBA
  • 17:15: End of day
  • 19:00: Conference dinner

Day 2: Tuesday 24 March, 2026

  • 8:30: Light breakfast
  • 9:00: Keynote TBA
  • 10:15: Short break
  • 10:30: TBA
  • 12:00: Lunch in AIAS
  • 12:45: Keynote: TBA
  • 14:00: Short break
  • 14:15: Two presentations and closing panel
  • 15:30: End of conference

Call for papers:

The conference will feature a number of 15-minute presentations.

We invite 300‑word abstracts responding to questions such as: 

  • What psychological theories (e.g., dual-process models, insight problem-solving, creative cognition) can help explain how people co-create with AI? 
  • How are human and machine creativity defined, contrasted, and intertwined across disciplines and cultural settings? 
  • How do different personality traits, cognitive styles, or motivational states influence the uptake and perceived usefulness of generative AI in creative writing? 
  • What new practices and forms of literary expression emerge as a consequence or reaction to generative AI – and which analytical methodologies do they require? 
  • To what degree can generative AI authentically replicate or enhance aspects of human creativity – and where does it fundamentally fail? 
  • What are the long-term psychological effects of integrating AI into writing routines—on authorship, creative confidence, or mental models of creativity? 
  • How does AI-driven co-creation influence cultural continuity, collective meaning-making, and innovation? 
  • What ethical, technical, and institutional risks – deskilling, bias, IP, lack of transparency – emerge as AI saturates creative workflows? 
  • Can psychological, cognitive, or computational social science approaches deepen our understanding of human-AI creative interaction? 
  • Under which circumstances does AI-enabled creativity empower and democratize, and when might it exacerbate inequality or erode skills?

Please send your abstract to [email protected] with your 1-page CV in one PDF file before December 15, 2025.

Decisions on admission of papers will be announced by January 12, 2026.