STIMULATING COGNITIVE ENGAGEMENT IN HYBRID DECISION-MAKING
Friction, Reliance and Biases
(Second Edition)
Co-located with HHAI 2025 - Fourth International Conference
on Hybrid Human-Artificial Intelligence
June 10, 2025, Pisa, Italy
9AM - 6PM | Piazza dei Cavalieri, 7, 56126 Pisa PI, Italy
Topics & Issues
In its second edition, this workshop builds on and expands its exploration of friction-in-design in AI systems, hosting a full-day event that challenges the pursuit of seamless, rapid interactions. In contrast to the conventional narrative that human over-reliance on AI stems solely from cognitive biases, we emphasize the critical role of designers and developers in fostering user empowerment, skill retention, and ethical responsibility.
This approach advocates for a balanced perspective on Human-AI interaction: one that harmonizes operational efficiency with the demands of meaningful, mindful, and effective human knowledge work.
Central to our discussion is the concept of ‘friction-in-design’ or ‘frictional protocols’ in AI systems, which are deliberate design choices that introduce moments of reflection and cognitive engagement, even at the expense of speed. The main aim of these protocols is reducing risks of over-reliance on AI.
The workshop will feature keynote presentations by leading experts alongside participant contributions, fostering interdisciplinary dialogue on design principles, methodologies for addressing reliance issues, and strategies for ensuring thoughtful and responsible AI interactions.
Participants will explore the potential of ‘Frictional AI’ to collaboratively shape future research and practices that ensure AI use remains meaningful and responsible.
Call for Extended Abstracts (500-1,000 words)
Submission Deadline: April 4, 2025 AoE April 11, 2025 AoE
Author Notification: May 2, 2025
Workshop (Pisa, Italy): June 10, 2025
Contributions are invited on topics including, but not limited to:
• Novel Design Principles for Cognitive Engagement: Proposing a balance between efficiency and cognitive engagement in AI design.
• Measurement and Mitigation Strategies for Over-reliance and Under-reliance: Introducing frameworks to evaluate AI’s impact on human judgment through novel metrics and/or proposals to mitigate risks like automation bias and deskilling.
• Calibration of Appropriate Trust in AI: Investigating the promotion of appropriate levels of trust in AI models by users, for example scrutinizing how transparency can both aid and hinder trust calibration.
• Governance solutions for Cognitively Engaging AI Design: Discussing policy and governance approaches to promote cognitive engagement and frictional principles in AI, fostering responsible and ethical AI development.
• Applications and Case Studies: Works documenting and demonstrating practical applications of seamful/frictional principles in various settings, supported by user studies and/or open-source tools.
A collected volume of HHAI 2025 Workshop and Tutorial proceedings will be compiled under the CEUR-WS umbrella after the conference.
Author Guide
Abstract Length: 500–1,000 words (this limit does not apply to the References section)
Review Process: Single-blind—authors should include their name(s) and affiliation(s).
Format: Submissions should preferably follow the CEUR-WS single-column format. This format will be required for the camera-ready version after the workshop.
Ready-to-use templates are available:
Submission Portal: https://cmt3.research.microsoft.com/FrictionalAIWorkshop2025
Workshop Organizers
Chiara Natali (University of Milano-Bicocca, Italy, Human-AI Interaction)
Mohammad Naiseh (Bournemouth University, UK, Human-AI Interaction)
Brett M. Frischmann (Villanova University, USA, Law, Business and Economics)
Programme Committee
Susan Benesch - Harvard University, USA
Niels van Berkel - Aalborg University, Denmark
Ingar Brinck - Lund University, Sweden
Federico Cabitza - University of Milano-Bicocca, Italy
Antonio Curci - University of Bari Aldo Moro, Italy
Regina De Brito Duarte - INESC-ID, Instituto Superior Tecnico, Portugal
Andrea Esposito - University of Bari Aldo Moro, Italy
Alessandro Facchini - SUPSI, IDSIA, Switzerland
Caterina Fregosi - University of Milano-Bicocca, Italy
Brett Frischmann - Villanova University, USA
Miria Grisot - University of Oslo, Norway
Tim Miller - University of Queensland, Australia
Caterina Moruzzi - University of Edinburgh, UK
Rune Møberg Jacobsen - Aalborg University, Denmark
Mohammad Naiseh - Bournemouth University, UK
Chiara Natali - University of Milano-Bicocca, Italy
Paul Ohm - Georgetown University, USA
Sarah Rajtmajer - Penn State University, USA
Scott Robbins - Universität Bonn, Germany
Madelyn Sanfilippo - University of Illinois at Urbana-Champaign, USA
Advait Sarkar - Microsoft Research, UK
Evan Selinger - Rochester Institute of Technology, USA
Yan Shvartzshnaider - York University, Canada
Alberto Termine - IDSIA USI-SUPSI, Switzerland; TUM, Germany
Jordi Tost - Bauhaus-Universität Weimar, Germany