91ÌÒÉ«

The project is implemented by a consortium of seven organisations representing Poland, Portugal, Spain, Germany, Denmark and Ireland. The leader of the project is the Faculty of Management, 91ÌÒÉ« and the partners include: Universidade do Porto, UPF Barcelona School of Management, the National Information Processing Institute (OPI PIB), Accreditation Council for Entrepreneurial and Engaged Universities, European E-Learning Institute and Momentum. We encourage you to explore the latest project updates .

 

Artificial Intelligence Is Transforming Research Practices

– Tools based on generative artificial intelligence are increasingly becoming a part of the everyday work of researchers. They support data analysis, report preparation, grant proposal development and the drafting of scientific texts. At the same time, their rapid development raises many questions concerning the reliability of results, intellectual property protection, data security and responsibility for research decisions – says dr hab. T. Bartosz Kalinowski, Associate Professor at the 91ÌÒÉ«, head of the international consortium implementing the project.

The AI Researchers project was created precisely to help researchers navigate this new reality. Its aim is to develop competences related to the use of GenAI in scientific research and to create practical solutions enabling the implementation of artificial intelligence in an ethical, transparent and European standards‑compliant manner.

What Barriers Hinder the Use of AI in Science?

One of the first outcomes of the project is an analysis of the obstacles related to implementing artificial intelligence in the academic environment. The results of the study show that although researchers increasingly use AI tools, their trust in these technologies remains limited.
Researchers primarily point to:

• the risk of generating incorrect or unverified information (the so‑called AI hallucinations),
• concerns related to data protection and unpublished research results,
• issues of intellectual property,
• the lack of clear regulations governing the use of AI at universities,
• uncertainty regarding responsibility for algorithm‑supported results.

At the same time, the analysis shows that the decision to use AI is not driven by temporary trends or peer pressure. The key factors are the practical usefulness of the tools and their fit with everyday research processes. Researchers are willing to adopt AI when they see tangible benefits for their work.
 

AI as Support, Not a Substitute for the Researcher

– The findings indicate that artificial intelligence is primarily perceived as a supporting tool. It proves particularly effective in routine and time‑consuming tasks such as preparing documentation, reports or initial data processing. This allows researchers to focus on activities requiring creativity, critical thinking and interpretation of results – emphasises dr hab. Artur ModliÅ„ski, Associate Professor at the 91ÌÒÉ«, who is involved in the project implementation at the 91ÌÒÉ«.
 

Levelling of opportunities in international research is also an important aspect. Generative AI tools help researchers whose first language is not English to prepare publications more effectively and participate in the global exchange of knowledge.

At the same time, research participants emphasise that certain areas cannot be delegated to algorithms. These include ethical evaluation of research, mentoring early‑career researchers, reviewing scientific work and formulating original research concepts. Scientific responsibility remains a human domain, adds Dr Jakub BrzeziÅ„ski, who is also involved in the project at the 91ÌÒÉ«.

We invite you to explore the study results on .
 

From Diagnosis to Practical Solutions

The AI Researchers project does not stop at identifying challenges. Its goal is to develop a comprehensive set of tools supporting universities in building a mature approach to artificial intelligence. Key outcomes will include:

• AI Engagement Framework – a framework helping universities plan activities related to the use of artificial intelligence;
• AI Readiness Toolkit – a set of practical tools supporting implementation and competence development;
• AI Mentor Training Manual – a handbook for those training supervisors and academic staff;
• Certified Online Course – a certified online course for early‑career researchers.

The project follows a logic that begins with understanding problems, moves through planning change and leads to practical implementation of solutions and long‑term competence building within organisations

Why Is This Project Important?

The development of artificial intelligence requires higher education to redefine many research and teaching processes. The lack of clear guidelines may lead both to unfounded concerns and to irresponsible use of new technologies. AI Researchers offers an alternative: a conscious, ethical and evidence‑based approach to implementing AI in scientific research.

The project demonstrates that the future of science does not lie in replacing researchers with algorithms, but in building competences that allow artificial intelligence to be used responsibly and in line with academic values. In this way, AI can become a tool that strengthens research quality rather than a threat to its credibility.

The project AI Researchers – Embedding Responsible AI in Research is carried out under the Erasmus+ programme (2025-1-PL01-KA220-HED-000358408).

Edit: Faculty of Management, 91ÌÒÉ«