AI in Practice: Implementation and Strategy

Arie van Deursen serves as Professor of Software Engineering at TU Delft, where he heads both the Software Engineering Research Group and the Department of Software Technology while directing the AI for Fintech Research lab, a five-year collaboration between ING and TU Delft. After earning his MSc in Computer Science from Vrije Universiteit Amsterdam and PhD from the University of Amsterdam, he conducted research at CWI before joining TU Delft as a professor in software engineering. His research spans software engineering, software testing, trustworthy AI, and human aspects of software engineering, with particular focus on empirical research conducted in close collaboration with industry. As scientific director of AI-for-Fintech Research, he leads initiatives involving 10 PhD students and numerous faculty members, while serving on the advisory board of ICAI and co-leading its Long Term Program on Trustworthy AI. His entrepreneurial spirit is evidenced by co-founding two successful companies: The Software Improvement Group (2000) and PerfectXL (2010). Recently elected as a Fellow of the Netherlands Academy of Engineering in 2023, he has supervised over 35 PhD students and 75 MSc students while serving as program co-chair for prestigious conferences like ICSE 2021 and ESEC/FSE 2017. Through his roles as member of the Advisory Council of IT Assessment for the Dutch government and the advisory council of ING Bank Netherlands, he continues to bridge academic innovation with practical applications in software engineering and artificial intelligence.

Bram van Ginneken, born in Nuenen in 1970, serves as Professor of Medical Image Analysis at Radboud University Medical Center, where he chairs the Diagnostic Image Analysis Group and leads Europe's largest medical image analysis research team. His academic journey began with physics studies at Eindhoven University of Technology and Utrecht University, culminating in a PhD from the Image Sciences Institute in 2001 focusing on Computer-Aided Diagnosis in Chest Radiography. His groundbreaking PhD research led to the development of CAD4TB, now the most widely used autonomous AI solution for medical image interpretation, installed in over 75 countries worldwide. Beyond academia, he co-founded Thirona in 2014, a company specializing in CT lung image analysis software, and maintains a position at the Fraunhofer Institute for Digital Medicine MEVIS in Bremen, Germany. His scientific impact is reflected in over 300 publications in international journals, with his work garnering more than 79,000 citations. As a member of the Fleischner Society and the Editorial Board of Medical Image Analysis, he has significantly influenced the field by pioneering the concept of challenges in medical image analysis and creating grand-challenge.org. His leadership has fostered interdisciplinary collaboration between biology and Artificial Intelligence, particularly in developing novel algorithms for clinical applications, making him a key figure in advancing healthcare through technological innovation.

Marleen Huysman serves as a Full Professor at the School of Business and Economics at Vrije Universiteit Amsterdam and founding director of the KIN Center for Digital Innovation, where she leads an interdisciplinary group of 35 researchers. Her academic journey began with sociology studies at Erasmus University Rotterdam, followed by a PhD in Business Economics focusing on Organizational Learning and IT at VU University. Her career includes positions as assistant professor at TU Delft, visiting scholarships at Stanford and Harvard Business School's Technology and Innovation Management group, and since 2006, she has held the chair in Knowledge and Organization at VU's School of Business and Economics. Her research spans digital innovation, new ways of working, technology in practice, and knowledge sharing, with recent focus on AI's impact on knowledge work through the AI@Work research group. As director of the KIN Center, she emphasizes embedded research methodology, working closely with industry partners to study digital innovations in organizational settings. Her significant contributions to the field are reflected in numerous publications in prestigious journals, with her work on enterprise social media, big data, and AI implementation being widely cited in academic literature. In 2023, she received an NWO grant to study the impact of Generative AI on knowledge work, management, and organizations, further cementing her position as a leading voice in understanding how digital technologies transform organizational practices.

Floris Bex serves as the Scientific Director of the National Police Lab AI, a collaborative initiative between Dutch Police and several universities, while holding positions as Professor of Data Science and the Judiciary at Tilburg University and computer scientist at Utrecht University. His research focuses on how human reasoning can be captured in formal models and enhanced through AI technologies, with particular emphasis on argumentation theory in AI and AI & Law. At the Police Lab AI, he leads initiatives to develop state-of-the-art AI techniques that improve public safety in socially, legally, and ethically responsible ways. His work includes designing explainable AI systems for crime report assessment and developing intelligent interactive dialogues for law enforcement. The lab, under his direction, focuses on integrating symbolic and subsymbolic AI techniques, reasoning with legal arguments, and creating transparent AI solutions that maintain public trust. His contributions span multiple universities and research centers, including the Tilburg Institute for Law, Technology, and Society (TILT), where he works on the intersection of AI, law, and society.

Sennay Ghebreab serves as a Full Professor of Socially-Intelligent AI at the University of Amsterdam, where he leads the Socially Intelligent Artificial Systems (SIAS) group at the Informatics Institute. His academic journey began at the University of Amsterdam, where he earned his MSc in Information Systems and PhD in computer vision and medical imaging. After postdoctoral work at Erasmus Medical Centre in Rotterdam, he returned to UvA in 2005, where he bridged research between computer vision and human vision. As founder and Scientific Director of the Civic AI Lab, a collaboration between the Ministry of Interior Affairs, City of Amsterdam, VU Amsterdam, and UvA, he leads initiatives to increase equal opportunity through AI in education, welfare, environment, mobility, and health. His work focuses on developing AI technology that promotes economic and social human rights while respecting fundamental human rights like privacy and non-discrimination. His contributions have earned him recognition as one of the 200 most influential people in the Netherlands and the Black Achievement Award for his contributions to science and education. He serves on multiple prestigious committees, including the State Commission against Discrimination and Racism and the Supervisory Board of the NEMO Science Museum