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13 August 2025

Participants from academia, industry, and the public sector gathered at LiU to explore how ethics and trust can be embedded in the development of large language models (LLMs).

man lecturing
Fredrik HeintzPhotographer: Diana Unander
Linköping University, LiU, coordinates the European AI project TrustLLM, which organized the half-day seminar “Mutual reinforcement of ethics and trust in AI†at LiU. The seminar opened by Fredrik Heintz, Professor of Computer Science at LiU and project coordinator of TrustLLM. He framed the central ethical challenges in the field, highlighting issues of privacy, copyright, factfulness, openness, and geopolitics.

“Perfect is the enemy of good. We want to be as good as possible but don't expect to be perfectâ€, emphasised Fredrik Heintz.

woman lecturing
Danila PetrelliPhotographer: Diana Unander

Danila Petrelli, Senior Data Manager at AI Sweden, presented how TrustLLM’s data strategy has evolved:

“The TrustLLM data strategy shouldn't be seen as a finished solution, but as a structured response to real constraints. We have built it as a path or a process, not an endpoint.â€

man is lecturing
Laurynas AdomaitisPhotographer: Diana Unander

Ethics-by-design approach

Laurynas Adomaitis from Department of Computer Science at RISE Research Institutes of Sweden introduced an ethics-by-design approach, positioning ethics as a process of ongoing dialogue. With tools for the method, developers are encouraged to reflect on and address potential ethical issues while developing the systems. The tool facilitates a dialogue which leads to internal insights and changes in the design. He stressed the complexity of ethical questions in AI, which often invoke deeper values such as justice, freedom, and autonomy.

A panel discussion featuring Fredrik Heintz, Laurynas Adomaitis, Peter Strömbäck (External Ethics Advisory Board), and Billy Jörgensen (AI Sweden), moderated by Tohid Ardeshiri (TrustLLM project manager), concluded the seminar. Together, they explored the roles of regulation, responsibility, and cross-sector collaboration in building trustworthy AI.

man standing at lectern
Tohid ArdeshiriPhotographer: Diana Unander

Successful examples and courage

"All successful forward leaps in LLM development involved an innovation. We need to learn from these successful examples worldwide and most importantly have the courage to innovate ourselves in our data strategy and data usage within the European ethical and legal framework", Tohid Ardeshiri urges.

For those of you who are interested in exploring the topic further, the seminar was recorded and is available on .

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