Date and time:
15 October 2025 at 15:30 pm
Place:
Sano Centre for Computational Medicine
room 109 in CE building, entrance C5
Czarnowiejska 36, Kraków
Maximum number of participants: 20
Duration: 4h
Wioletta Niwińska1, Anna Kajda-Twardowska1, Michał Kosobudzki1
1Sano - Centre for Computational Medicine, Czarnowiejska 36, 30-054 Kraków, Poland
w.niwinska@sanoscience.org a.kajda@sanoscience.org, m.kosobudzki@sanoscience.org
Keywords: AI law, compliance, data protection, IP law
1. Introduction
The implementation of projects, particularly involving AI solutions, imposes the need to exercise due diligence to safeguard the interests of creators, companies, software owners, but also to ensure the safety of end users. Looking at AI projects from a broader perspective is key to securing and developing AI systems that comply with normative principles, rules and standards of trustworthiness.
The implementation of AI tools requires multidisciplinary teams, which is possible for large entrepreneurs and difficult to achieve for smaller entities such as startups. Compliance with trustworthy AI and responsible AI principles and their proper consideration in the process of building AI solutions can determine the success of the entire project and is key to building public trust for AI technologies.
2. Description of the tutorial
The workshop is scheduled for half a day (4 hours). The training will include a presented and moderated discussion and a practical part. The first will focus on providing the necessary theoretical knowledge on the subject of the workshop. It will be based on presenting the basic theoretical concepts, listing the main legal basis and conveying the practical aspects of implementing an AI-based project. The presentation will also include time for a moderated discussion with workshop participants to share their own experience or ask additional questions. The presenters during the first part of the workshop will share, in addition to theoretical knowledge, practical tips developed during their professional work.
The second part of the workshop will be dedicated to practical tasks so that participants can stimulate their creative thinking in an interactive way, practice negotiation and consolidate the information acquired during the first part of the workshop.
The aim of the workshop tasks will be to try to play the roles of the various participants in the process of developing and implementing AI projects and to prepare an AI project implementation plan with a view to safeguarding the legal interests of the parties, with a view to acting in accordance with the law. Participants will be divided into groups and randomly assigned roles that may occur in the process of developing AI solutions. During this part, the Walt Disney working methodology will also be used, which is a creative problem-solving technique that involves analysing issues from three different perspectives: the dreamer, the realist and the critic. Developed by Robert Dilts, this method aims to support the creative process and decision-making in a systematic and sustainable way which fits in with the general approach of responsible AI and trustworthy AI.
During the workshop part, in addition to the instructions given, participants will have space to work creatively, make their own assumptions and share their own experiences and ideas. The training will conclude with a joint discussion on the exchange of experiences, including the preparation of a list of ‘golden bullets’ - what to keep in mind. The trainers will actively support the participants without, however, interfering with their ideas or solutions. In the workshop part, the trainers will act as moderators.
We hope that at the end of the workshop participants will have gained new knowledge and will have created a practical summary in the form of golden bullets. This list will be a summary of what took place during the workshop and the participants' individual reflections, allowing them to recall and consolidate the new skills and knowledge acquired during the workshop.
The target group of the workshop is the conference participants, regardless of their legal background, who may have different roles in the implementation of the AI project. The participation of representatives from different groups will allow the identification of legal risks from their perspective but may also lead to the development of a common way to mitigate them. The workshop is addressed both to people from the legal world (law students, lawyers) and the broader business world, including developers, C-suite, board of directors, compliance and data protection specialists, engineers and AI architects and people who do not have any experience in implementing AI tools such or those who plan to retrain into the world of artificial intelligence specialization.
3. Knowledge and skills to be gained
The aim of this workshop is to respond to the needs of lawyers and those working with AI systems who may encounter difficulties related to the legal regulation of advanced solutions in their daily work. The workshop is intended to lead to an increased awareness among participants of the complexity of legal regulations that need to be considered when developing AI solutions. Through this workshop, participants will gain tips on the information needed to verify and the steps worth planning when creating AI solutions. During the workshop, speakers will share their experience in the legal security of the project being developed with a particular focus on IP and data protection issues. This workshop will be a space to share good practices. We hope that this workshop will inspire participants to plan projects outside the box and to look for unusual and creative solutions. IP and data issues are crucial elements of any AI software. It is hoped that the universality of the topic will enable the knowledge gained to be applied to most AI and Law projects and contribute to broad interest of the workshop by the audience. The workshop will provide an opportunity for participants to share their experiences and will be a platform for knowledge exchange, as well as an opportunity for networking. The value for the participants will be to broaden their horizons in terms of their roles and assigned responsibilities, which will allow them to more easily understand the perspective of the other people and entities acting within the project.
References
- https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines/1.html
- https://airc.nist.gov/airmf-resources/airmf/3-sec-characteristics/
- Drexl, Hilty et al., Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective,Version 1.0, October 2019, available at: https://ssrn.com/abstract=3465577
- https://tipsforyourwebsite.com/what-are-project-management-methodologies/ https://mgrush.com/blog/agile-vs-waterfall/
- https://www.forbes.com/councils/forbestechcouncil/2022/04/20/managing-the-data-for-the-ai-lifecycle/
- https://intellectual-property-helpdesk.ec.europa.eu/news-events/news/artificial-intelligence-and-copyright-use-generative-ai-tools-develop-new-content-2024-07-16-0_en
- Max Planck Institute for Innovation and Competition. (2021). Artificial Intelligence and Intellectual Property Law – Position Statement of the Max Planck Institute for Innovation and Competition of 9 April 2021 on the Current Debate (Research Paper No. 21-10). SSRN. https://doi.org/10.2139/ssrn.3822924
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3822924
