(Apologies if you receive multiple copies of this call) -------------------------------------------------- CALL FOR EXTENDED ABSTRACTS Second Workshop on Stimulating Cognitive Engagement in Hybrid Decision-Making: Friction, Reliance, and Biases Co-located with the 4th International Conference on Hybrid Human-Artificial Intelligence (HHAI25) June 10, 2025 | Pisa, Italy (in-person) https://sites.google.com/view/frictional-ai/home -------------------------------------------------- **Workshop Overview** Building on the success of its first edition at HHAI 2024, the full-day workshop on "Stimulating Cognitive Engagement in Hybrid Decision-Making: Friction, Reliance, and Biases" advances the exploration of over-reliance and biases in Human-AI Interaction. Central to this discussion are approaches that intentionally introduce moments of cognitive effort and reflection into AI interactions to prevent passive or automatic reliance. While conventional AI design prioritises efficiency and seamlessness, this workshop invites participants to examine AI systems that strategically slow down decision-making when necessary to mitigate automation bias, cognitive offloading, and over-trust, ultimately fostering accuracy, responsibility, and human oversight. Such friction-in-design encompasses strategies that encourage users to reflect before acting, such as requiring justification before accepting AI recommendations, displaying confidence scores with uncertainty visualisations, or using explainability mechanisms that slow decision-making to reinforce human oversight. This workshop fosters interdisciplinary dialogue across AI research, cognitive science, HCI, and governance to ensure AI systems empower users rather than encourage unchecked reliance. The program will feature keynote presentations by leading experts in academia and industry, author presentations, and interactive discussions to advance the discourse on cognitively engaging and responsible AI design. Keynote speakers include: • Prof. Federico Cabitza (University of Milano-Bicocca, Italy) – Expert in AI-assisted decision-making and medical AI. • Bart Van Leeuwen (Fire Services Expert, Netherlands) – Expert in human factors and situational awareness in high-risk environments. **Topics of Interest** We welcome contributions from researchers, practitioners, and policymakers on topics including, but not limited to: • Design Principles for Cognitive Engagement • Measuring and mitigating automation bias, algorithmic aversion, and cognitive offloading • Ethical and Governance Perspectives on Friction-in-Design • Applications, Case Studies and Experimental Findings We encourage submissions from a variety of disciplines, including AI, HCI, cognitive science, law, philosophy, and beyond. **Submission Details** • Types of Submissions: Extended Abstracts (500-1,000 words) • Format: CEURART-WS style preferred • Submission Portal: https://cmt3.research.microsoft.com/FrictionalAIWorkshop2025 • Proceedings: All accepted papers will be published in the HHAI 2025 Workshop Proceedings on CEUR-WS. Authors of accepted contributions are required to attend the workshop in-person and register to the HHAI25 conference (single-day registration available, details TBA). **Important Dates** • Paper Submission Deadline: April 4, 2025 (AoE) • Notification of Acceptance: May 2, 2025 • Camera-Ready Submission: TBD (authors will be invited to expand their contributions following workshop discussions) • Workshop Date: June 10, 2025 **Beyond the Workshop** Our aim is to foster a research network. Authors from all editions, if desired, will be invited to participate in future initiatives, including knowledge exchanges, collaborative publications, special journal issues, and online lecture series. **Organising & Programme Committee** • Chiara Natali (University of Milano-Bicocca, Italy & IDSIA, SUPSI, Switzerland) • Mohammad Naiseh (Bournemouth University, UK) • Brett Frischmann (Villanova University, USA) • Programme Committee: full list available at https://sites.google.com/view/frictional-ai/home For more information, visit our website: https://sites.google.com/view/frictional-ai/home Contact: chiara [dot] natali [at] unimib.it