Keynotes

Prof. Dr Tony Gorschek

(Gen)AI-powered Software Intensive Products - the future, Implications and Opportunities

Abstract: The future of Software Intensive Products and Services (SIPS) is both bright and uncertain. The advent of large-utilisation of GenAI does impact how we do requirements engineering (any engineering task) (AI4SE), but few realise that SIPS will actually be powered by, and contain AI-components. This has huge implications on software engineering as a whole, and promises new capabilities, but also new challenges that will require the engineering discipline to evolve (SE4AI). How do we meet these challenges, and capitalise on the opportunities. Do we let tradition and over-regulation strangle innovation via compliance or do we meet the future with new and improved engineering principles and practices? This talk sadly does not offer solutions, rather highlights challenges and opportunities- and hopefully can inspire our community to meet new capabilities as enablers.

BIO:

Dr. Tony Gorschek is a Professor of Software Engineering at the Software Engineering Research Lab (SERL) at Blekinge Institute of Technology (Sweden) and senior researcher at fortiss Germany. He has over ten years of industrial experience as a CTO, senior executive consultant and engineer, but also as chief architect and product manager. In addition, he has built up six startups. His research interests include empirical software engineering, applied AI in Software Engineering (AI4SE and SE4AI), technology and product management, and value based lean development of software intensive products and services. Application areas going forward will be the use of generative AI as part of engineering, but also how future software intensive products and services are incorporated with non-deterministic components.

E-mail, web: tony.gorschek@bth.se www.gorschek.com

SCHOLAR PROFILE: https://scholar.google.se/citations?user=9eXSw7UAAAAJ&hl=en

Prof. Pınar Yolum

Operationalizing Trust for Human-AI Collaboration

Abstract: What does it take for people to genuinely trust AI? Principles like accountability, transparency, and fairness are important, but they do not tell us how AI should behave in interactions with humans. In this talk, I approach this question through sociotechnical systems, where humans and AI agents collaborate by combining their distinct capabilities. For such systems to be effective, agents must exhibit and understand skills such as empathy, self-reflection, and social awareness—skills typically associated with humans. Thus, we must develop ways to represent, measure, and evaluate these skills within computational models. Privacy provides a particularly rich domain for examining these issues. I will present our work on privacy assistants that reason about norms, contexts, and values to help people make informed choices in complex data-sharing environments. This work demonstrates how abstract requirements of trustworthy AI can be operationalized into concrete mechanisms for human-AI collaboration.

Bio: Pınar Yolum is Professor of Trustworthy AI at Utrecht University, where she leads the Responsible AI research group within the Department of Information and Computing Sciences. Her research focuses on multiagent systems and human–AI collaboration, with an emphasis on trust, commitments, and privacy. Pınar serves on the Editorial Boards of Journal of Autonomous Agents and Multiagent Systems, ACM Transactions on Internet Technology, and IEEE Internet Computing. She is the program leader of the AI Master’s program at Utrecht University, co-founder of the Open-Source Global Justice Investigations Lab, and a member of the Executive Board of the Hybrid Intelligence Consortium. She regularly contributes to activities to promote women participation in computer science. She is an enthusiastic reader and a restless skier.

Tomasz Parkoła

Innovation through collaboration: turning cultural heritage into quality data

Abstract: The digital transformation of cultural heritage and research data is not only a technological challenge but also a social and organisational one. Cultural heritage institutions, research organisations, and technology providers are guided by different missions, goals, practices, and expectations but need to operate together at the intersection of data preservation, data access, and innovation. In this presentation we will explore how collaborative and interdisciplinary approaches have enabled progress in transforming cultural assets into reusable data for research and society. Drawing on the experience of the Poznan Supercomputer and Networking Center (PL: Poznańskie Centrum Superkomputerowo-Sieciowe (PCSS)) and its long-term involvement in developing technologies for cultural heritage and digital humanities we will investigate how iterative R&D processes, prototyping, and community engagement have helped define requirements and improve interoperability, standards and usability of developed solutions and data.

Bio: Tomasz Parkoła is the Director of Network Services Division at Poznańskie Centrum Superkomputerowo-Sieciowe (PCSS). He manages R&D teams delivering innovative technologies for health & medicine, education, governmental agencies & public institutions as well as cultural heritage & digital humanities. He has been involved in a number of R&D and infrastructure projects, e.g. Dariah.lab Poland, Dariah.hub Poland, ERIHS.pl, OPERAS, HERIFORGE, Europeana, LUMEN, GRAPHIA, 3DBigDataSpace, 3D-4CH, SSHOC, OSCARS. He oversees a team of 80+ professionals with expertise on AI & analytics, data management & discovery, long-term archiving & workflows, cloud & DevOps, UX/UI research & design, frontend & backend as well as QA & support services. He is a board member in the IMPACT Centre of Competence, a vice-chair DARIAH-EU’s JRC, a chair of the OPERAS-PL consortium board and a vice- chair of the DARIAH-PL consortium board. He is an author or co-author of several dozens of scientific and popular science publications. He holds several professional certifications, e.g. PMP®, PMI-ACP, UX-PM, Six Sigma.