
Concept
The Copenhagen Symposium on Human-Centered Software Engineering AI is an invitation-only gathering held every year. Supported by the Alfred P. Sloan Foundation and Carlsberg Foundation., it brings together leading researchers, practitioners, and policymakers to shape how artificial intelligence is adopted in software engineering—always with a strong human-centered focus.
Unlike traditional academic events, the symposium is built on Liberating Structures, a set of facilitation methods designed to make sure every voice is heard and every participant contributes meaningfully. These methods help us move from discussion to concrete outcomes, ensuring that ideas do not remain theoretical but become practical actions.
The symposium serves as a working forum rather than a conventional conference. Through structured, interactive sessions, participants collaborate in small groups, rotate across discussions, and co-create insights. Social activities are woven in to strengthen trust and connection.
Central to the symposium are dedicated workstreams. Each workstream addresses a specific theme or challenge in human-centered AI adoption for software engineering. The workstreams continue beyond the event, maintaining momentum and collaboration across the year.

Key Themes from the First Edition
Transformation of Software Engineering Roles
- The shift from traditional coding towards managing and collaborating with AI tools.
- Emerging roles such as AI Contingency Analysts and AI Capability Conductors.
Trust and Ethics in AI Integration
- The importance of transparency, accountability, and bias recognition in AI systems.
- Establishing ethical standards that ensure human responsibility remains central.
AI and Team Dynamics
- How AI changes team structures, workflows, and collaboration patterns.
- The rise of prompt engineering as a new collaborative skill.
Awareness, Education, and Engagement
- Extending AI literacy to diverse stakeholders.
- Standardizing terminology and building shared ethical frameworks.
Future Outlook and Support for Small Companies
- Short- and long-term implications of generative AI.
- Opportunities for small firms to benefit from responsible adoption.

The Copenhagen Manifesto
A defining achievement of the first symposium was the Copenhagen Manifesto.
This document reflects our shared commitment to:
- Responsibility – AI should support human dignity and agency.
- Transparency – decision-making processes must be open and explainable.
- Inclusivity – diverse voices and perspectives must be built into AI adoption.
- Sustainability – AI practices should support long-term wellbeing.
The manifesto has already influenced researchers and practitioners worldwide, serving as a guiding framework for ethical and human-centered AI in software engineering.

Insights from the Second Edition
The second symposium built directly on the Manifesto and turned principles into practice.
40 participants from leading universities, industry, and policy joined at Aalborg University Copenhagen.
Through highly interactive Liberating Structures sessions, we created seven active workstreams that now carry the community forward:
- Diversity & Inclusion – making sure AI tools are fair and representative.
- Research Standards – creating reproducibility checklists and benchmarks.
- Creativity with AI – supporting, not replacing, human imagination.
- Personalized Tools – building developer assistants that adapt without intruding.
- Measuring Impact – looking at quality, teamwork, and fairness, not just speed.
- Explaining AI Clearly – communicating what AI can and cannot do.
- Evaluation Guidelines – agreeing on how to test AI in real software projects.

Why Liberating Structures Matter
At the Copenhagen Symposium, Liberating Structures are not an add-on—they are the core of how we work. These methods replace hierarchy with inclusion, giving participants equal space to speak, listen, and contribute.
They allow us to:
- Break down barriers between senior and junior voices.
- Encourage unconventional ideas alongside rigorous evidence.
- Move quickly from discussion to shared commitments.
- Build lasting connections across disciplines and sectors.
The result is a symposium that is lively, inclusive, and deeply productive—participants leave not only with ideas, but also with a sense of ownership and shared responsibility.

Outcomes from the Copenhagen Symposium on Human-Centered AI in Software Engineering
The Symposium’s purpose is to turn discussion into shared assets: papers, standards, collaborations, and field-building. The items below were reported by past participants as directly sparked, enabled, or substantially advanced by our gatherings.
Peer-reviewed publications and articles
- The Impact of Generative AI on Creativity in Software Development: A Research Agenda.
V. Jackson, B. Vasilescu, D. Russo, P. Ralph, R. Prikladnicki, M. Izadi, S. D’Angelo, S. Inman, A. Andrade, A. van der Hoek. ACM TOSEM, 2025.
DOI: https://doi.org/10.1145/3708523 - Seamful AI for Creative Software Engineering: Use in Software Development Workflows.
S. Inman, A. Murillo, S. D’Angelo, A. Brown, C. Green. IEEE Software, 2025.
Link: https://ieeexplore.ieee.org/document/10857384 - Designing AI Settings to Increase User Control.
S. Inman and collaborators. IEEE Software, 2025.
Link: https://www.computer.org/csdl/magazine/so/2025/06/11210835/2aZVRxZ9Lpe - Exploring GenAI in Software Development: Insights from a Case Study in a Large Brazilian Company.
G. Pereira, V. Jackson, R. Prikladnicki, A. van der Hoek, L. Fortes, C. Araújo, A. Coelho, L. Chelli, D. Ramos. ICSE SEIP, 2025.
Link: https://ieeexplore.ieee.org/abstract/document/11121696 - Get on the Train or Be Left at the Station: Using LLMs for Software Engineering Research.
B. Trinkenreich, F. Calefato, G. Hanssen, K. Blincoe, M. Kalinowski, M. Pezzè, P. Tell, M.-A. Storey. FSE Companion (HUMANISE), 2025.
DOI: https://doi.org/10.1145/3696630.3731666 - Guidelines for Empirical Studies in Software Engineering Involving Large Language Models.
S. Baltes et al. arXiv preprint, 2025; presented at AIware 2025 (arXiv track).
Website: https://llm-guidelines.org/
Preprint: https://arxiv.org/abs/2508.15503
AIware listing (talk): https://2025.aiwareconf.org/details/aiware-2025-arxiv-track/2/Guidelines-for-Empirical-Studies-in-Software-Engineering-involving-Large-Language-Mod - Creativity, Generative AI, and Software Development.
V. Jackson et al. Software Engineering in 2030 Workshop, FSE Brazil, 2024. - Reflections on the Reproducibility of Commercial LLM Performance in Empirical Software Engineering Studies.
F. Angermeir et al. ICSE 2026. (Accepted; link to be added when available.) - An Eye for AI: Eye-Tracking the Micro-Interruptions of GenAI Code Suggestions.
T. Alakmeh, S. D’Angelo, T. Fritz. ICSE 2026. (Accepted; link to be added when available.) - Fostering Creativity with ChatGPT in Requirements Engineering Education: An Academic Experience.
M. Costa, M. Lima, M. Meireles, T. Conte. SBQS Education Track, 2025.
Venue page: https://sbqs.sbc.org.br/2025/index.php/pt/chamada-de-trabalhos/trilha-de-educacao-em-qualidade-de-software
Community standards, resources, and special issues
- LLM Guidelines (community standard under continuous refinement).
Website: https://llm-guidelines.org/
Preprint: https://arxiv.org/abs/2508.15503 - Special Issue on Creativity in Software Engineering (IEEE Software, 2025).
Guest editor introduction (V. Jackson, A. van der Hoek, R. Prikladnicki, K. Singh):
https://ieeexplore.ieee.org/document/10953348
Convenings and field-building
- Dagstuhl Seminar 25412 — Creativity, GenAI, and Software Development: A Future Together (2025).
Program page: https://www.dagstuhl.de/en/seminars/seminar-calendar/seminar-details/25412 - Shonan Meeting — Crafting the Future of Developer Experience (accepted; November 2026).
(Program page to be linked when available.) - Generative AI and Empirical Software Engineering—A Paradigm Shift.
C. Treude, M.-A. Storey. AIware 2025.
Program entry: https://2025.aiwareconf.org/details/aiware-2025-papers/1/Generative-AI-and-Empirical-Software-Engineering-A-Paradigm-Shift
Courses and institutional initiatives
- AI Tools for Development at CMU (university course, with materials).
Course site: https://ai-developer-tools.github.io - University-level guidelines for GenAI in SE education and a pilot using Mistral Le Chat as a research assistant (reported by Paris Avgeriou).