Meet our Speakers

Keynote Speakers

Mariacarmela Passarelli

Mariacarmela Passarelli

Mariacarmela Passarelli is Associate Professor of Management and Innovation at the Management Department of University of Calabria, where she is also Coordinator of the Third Mission activities.

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Is now the time to reimagine entrepreneurs for Human-Centered AI?

This talk explores how Harmonic Entrepreneurship (HE) — which balances value creation with care for people, communities and the environment — can be paired with Human-Centered AI (HCAI) to build AI ventures that scale ethically. It proposes the profile of the harmonic entrepreneur as a steward leader who blends hard skills (data, operations, governance) with soft skills (empathy, ethics, collaboration) to tackle sustainability challenges. The talk also underscores the pivotal role of entrepreneurship education in the HCAI era, equipping the next generation of socially responsible leaders.

Philipp Rosendahl

Philipp Rosendahl

Digital Project Manager at Merck KGaA.

From tribal knowledge to trusted AI: designing feedback-centric systems at Merck

At Merck, we design AI systems that center on human expertise rather than automation alone. This talk presents our framework for incorporating tacit, domain-specific knowledge—often undocumented but essential—into enterprise AI applications. We describe mechanisms for structured user feedback that refine AI-generated proposals and enable bidirectional learning between humans and AI agents. Our approach emphasizes transparency through document-level traceability within RAG pipelines and highlights the importance of expert model specialization for processing diverse data types such as images, tables, and text. The result is a suite of trustworthy, defensible, and user-driven AI applications tailored to complex scientific and industrial environments.

Susanne Schmidt

Prof. Dr. Susanne Schmidt

Otto von Guericke University Magdeburg. Roles and research overview.

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Leading Human-Centered AI adoption: The Leadership Capabilities Organizations Need for Responsible AI Adoption

Human-centered AI succeeds when leadership treats AI adoption as a socio-technical change, not just an IT rollout. In this talk, I outline an actionable capability set for leaders to enable responsible AI adoption.

Davide Picca

Davide Picca

Professor and researcher in Digital Humanities and AI at the University of Lausanne; work at the intersection of language, semiotics, and AI.

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Not Minds, but Signs: Rethinking Large Language Models through Semiotics

The conference addresses the widespread tendency to interpret Large Language Models (LLMs) as cognitive systems, highlighting the limitations of this approach. An alternative, semiotic framework is proposed, which considers LLMs as sign machines capable of recombining linguistic forms and generating texts without intentionality or autonomous understanding. This perspective is based on concepts developed by Peirce, Eco, and Lotman and allows us to analyze the outputs of models as cultural artifacts that require interpretive work, produce semiotic debt, and reconfigure the ecologies of meaning. Examples from the literary, philosophical, and pedagogical fields will be presented to show how the textual overproduction of LLMs opens up creative and educational spaces on the one hand and raises epistemic and ideological questions on the other. The goal is to outline a theoretical and critical framework that allows linguistic models to be situated not as minds but as technological participants in the continuous dynamics of semiosis.

Knut Polkehn

Knut Polkehn

Consultant at artop – Institut an der Humboldt-Universität zu Berlin; specialist in UX and human-centered design.

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Human-Centered Design in AI Systems

Exploring the integration of human-centered design principles into AI systems, emphasizing the importance of usability and user experience in developing effective and user-friendly AI applications.

Michael Bosniack

Prof. Dr. Michael Bosnjak

Head of Psychological Research Methods at Trier University; research includes research synthesis, theory-driven ML, survey methodology.

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Predicting Human Behavior and its Determinants Using the "Big Seven" Personality Constructs - A Meta-Analytical Evidence Gap Map

Imagine a map that shows all the scientific knowledge we have on a particular topic. That's what a research tool called a ´Meta-Analytical Evidence Gap Map´ (MetaEGM) does. It creates a simple, visual summary of many studies to highlight which areas are well-researched, and where there are still ´gaps´ in our knowledge. Beyond just showing what we know, MetaEGMs also estimate how well certain factors—like personality traits—can predict human behavior and its causes.

The goal of this talk is to present a recent study that used this MetaEGM mapping technique. We brought together findings from previous research to see how well the "Big Seven" personality model can predict outcomes in many different areas of a person's life. This study shows how useful and important it is to use personality variables in predicting human behavior and its antecedents in all life domains. Therefore, the Big Seven should be considered as features in all machine learning models focusing on behavior, decisions, preferences, and attitudes as outcomes.

Valentina Pepoli

Valentina Pepoli

DPO & Founder of IBICHAIN; Co-Founder of PROHMED; focuses on privacy, GDPR and consent digitalization.

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IBICHAIN & PROHMED: Empowering Data Sovereignty and Healthcare Innovation

This talk explores IBICHAIN, a consent management platform that gives users full control over their personal data during onboarding processes. The platform addresses key challenges in Security & Compliance (security testing, audit, regulation, training, patent protection), Digitalization of Consent (onboarding integration with IDP, consent tracking via QR code or app), Data Valorization (intuitive UI, proximity services, low cost, reduced waiting times), and Data Sovereignty (European Cloud Solution, innovation, personal data control). The presentation also covers PROHMED, a medical intelligence and prevention platform that leverages these privacy-first principles to advance personalized healthcare while maintaining the highest standards of data protection and patient autonomy.