- P1: Does Peer Review Need to Change? A Panel on Reporting Standards and Checklists in the Age of AI
- P2: Participatory AI & Social Justice
- P3: From Remote Space to Remote Time
- P4: AI Agents and the Future of Deliberation: Designing Human–AI Collaboration for Democratic Dialogue
- P5: The Global Impact of Generative AI on the HCI Landscape: International Perspectives on HCI Education, Industry Dynamics, and Funding Considerations
- P6: Biodesign x AI: Interactions in the Algorithmic Wet Lab
- P7: Sustainable Body Transformation Experiences
- P8: Human-Centred AI or AI-Enabled HCI?
P1: Does Peer Review Need to Change? A Panel on Reporting Standards and Checklists in the Age of AI
Monday, April 13, 2026 (14:15 – 15:45 CEST)
Authors:
- Andrew Duchowski, School of Computing, Clemson University, Clemson, South Carolina, United States
- Andreas Stefik, University of Nevada Las Vegas, Las Vegas, Nevada, United States
- Paul Ralph, Dalhousie University, Halifax, Nova Scotia, Canada
- Alan Dix, Computational Foundry, Swansea University, Swansea, Wales, United Kingdom
- Krzysztof Krejtz, Institute of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland
- Brad A Myers, Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
- Joaquim Jorge, INESC-ID/Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
- Rina R. Wehbe, HCI4Good, Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
Description: Many scientific fields of study use formally established reporting standards to foster research and experimental design, transparency, replicability, peer review, and student training. Examples include CONSORT in medicine, the What Works Clearinghouse in education, JARS in psychology. Such standards yield agreement on study reporting and evaluation, even if using different methodologies. CHI has not adopted reporting standards. Like other fields, CHI has seen an increased number of low-quality submissions and reviews fueled by AI. This panel’s objective is to discuss advantages and barriers of adopting reporting standards for SIGCHI. Panelists include representatives with significant experience creating, adopting and operationalizing reporting standards in adjacent fields: software engineering, CS education, and Programming Languages. The panel will include an overview of the history of reporting standards, a live demo of a standards-based peer review system, discussions of opportunities, challenges, limitations for SIGCHI reporting standards, and an interactive discussion between attendees and panelists.
P2: Participatory AI & Social Justice
Monday, April 13, 2026 (16:30 – 18:00 CEST)
Authors:
- Maria Luce Lupetti, Department of Architecture and Design, Politecnico di Torino, Turin, Italy
- Christina Harrington, Google Research, Atlanta, Georgia, United States; HCI Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
- Massimo Menichinelli, Elisava Research, Elisava, Barcelona School of Design and Engineering (UVic-UCC), Barcelona, Barcelona, Spain
- Cristina Zaga, Human-Centred Design, University of Twente, Enschede, NY, Netherlands
- Laura Forlano, Northeastern University, Boston, Massachusetts, United States
- Alessandro Bozzon, Knowledge and Intelligence Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
- Q. Vera Liao, Computer Science and Engineering, University of Michigan, Ann Arbor, Ann Arbor, Michigan, United States
Description: Artificial Intelligence (AI) and Machine Learning (ML) technologies are increasingly integrated into a variety of products and services. However, AI promises often fall short and unintended consequences multiply, causing a negative impact, especially on marginalised communities. In response, Participatory AI has emerged as a promising method to account for the consequences on people subject to AI and to help develop systems that are better aligned with societal values. Yet meaningful participation remains difficult to achieve. Participation tends to be short-term and consultative, or even a mask for hidden labour. Moreover, the aim of building knowledge that is situated and subjective often conflicts with the global scale and generalizability of AI, especially when it comes to foundational models. This panel unites experts to explore how to account for these issues, and more specifically, to collectively draw a picture of the limits of Participatory AI in terms of social justice.
P3: From Remote Space to Remote Time
Tuesday, April 14, 2026 (14:15 – 15:45 CEST)
Authors:
- Hiroshi Ishii, MIT Media Lab, Cambridge, Massachusetts, United States
- Hye Jun Youn, MIT Media Lab, Cambridge, Massachusetts, United States
- Jie Li, MIT Media Lab, Cake Researcher, Delft, Netherlands
- Xiao Xiao, Institute for Future Technologies, De Vinci Higher Education, Courbevoie, France
- Eugene Ch’ng, School of Culture and Creativity, BNBU, Zhuhai, Guangdong, China
- Jed R. Brubaker, Information Science, University of Colorado Boulder, Boulder, Colorado, United States
- Jayne Wallace, School of Design, Arts and Creative Industries, Northumbria University, Newcastle Upon Tyne, United Kingdom
- Pat Pataranutaporn, MIT Media Lab, Cambridge, Massachusetts, United States
Description: We explore a design vision that reimagines human connection not only across distance but also across time, extending even beyond physical lifespans. While Telepresence was developed to connect remote spaces, this panel shifts the focus to remote time—the desire to be remembered, to reconnect with the past, and to speculate on possible futures. We bring together perspectives from generative AI, cultural heritage, and HCI to examine how connection across time can be mediated and reinterpreted. AI researchers develop synthetic agents “ghost bots” that reconstruct identities from fragmented data. Scholars in archaeological heritage investigate how artifacts carry memory across centuries, offering insight into how cultural traces become embodied knowledge. HCI researchers study interactive systems that honor the presence of absence. Together, this inter-disciplinary dialogue across digital reconstruction, archaeological preservation, and practices of cherishing material traces raises broader philosophical questions about how emerging technologies shape relationships across past, present, and future.
P4: AI Agents and the Future of Deliberation: Designing Human–AI Collaboration for Democratic Dialogue
Tuesday, April 14, 2026 (16:30 – 18:00 CEST)
Authors:
- Weiyu Zhang, Department of Communications and New Media, National University of Singapore, Singapore, Singapore
- ShunYi Yeo, Singapore University of Technology and Design, Singapore, Singapore
- Simon Tangi Perrault, LTCI, Telecom Paris, IP Paris, Palaiseau, France
- Jiaxin Pei, Stanford University, Palo Alto, California, United States
- Anna De Liddo, Knowledge Media Institute, The Open University, Milton Keynes, United Kingdom
- Francesco Veri, Centre for Democracy Studies Aarau, University of Zurich, Aarau, Switzerland
- Maurice Flechtner, University of Zurich, Zurich, Switzerland
- Horacio Saggion, Universitat Pompeu Fabra, Barcelona, Spain
Description: AI agents, ranging from LLMs and multi-agent simulations and systems to conversational assistants and reflective companions, are reshaping how people deliberate together and form collective judgements. These technologies hold the potential to scale deliberative participation, foster inclusivity by bridging linguistic and cultural gaps, and introduce new forms of collaboration. Yet they also pose challenges to notions of authenticity, legitimacy, and human autonomy in civic dialogue. This panel brings together researchers from Asia, Europe and North America to examine how AI technologies are transforming deliberation as both a social process and a design problem. It interrogates AI’s role in shaping deliberative norms, influencing group dynamics, and redefining what it means to “reason together” in hybrid human–AI spaces. Through interactive polling, structured debates, and audience co-deliberation, the session invites CHI participants to explore how we can preserve the democratic values of deliberation while embracing the creative potential of AI.
P5: The Global Impact of Generative AI on the HCI Landscape: International Perspectives on HCI Education, Industry Dynamics, and Funding Considerations
Wednesday, April 15, 2026 (14:15 – 15:45 CEST)
Authors:
- Guo Freeman, School of Computing, Clemson University, Clemson, South Carolina, United States
- Cliff Lampe, School of Information, University of Michigan, Ann Arbor, Michigan, United States
- Elizabeth D Mynatt, Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, United States
- Heloisa Candello, IBM Research, Sao Paulo, Brazil
- Kori Inkpen, Microsoft Research, Microsoft, Redmond, Washington, United States
- Nitesh Goyal, Google Research, New York, New York, United States
- Karrie Karahalios, MIT Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
- Xiaojuan Ma, Hong Kong University of Science and Technology, Hong Kong, Hong Kong
- Paweł W. Woźniak, TU Wien, Vienna, Austria
Description: In recent years, we have witnessed a boom of AI-related research from both academia and industry at CHI. Built upon these ongoing conversations and a recent panel at CSCW 2025, this panel aims to promote community-wide discussions that reflect on generative AI’s multidimensional impact on the global HCI landscape beyond specific research agendas or directions. In particular, rather than discussing such impact at the regional or even national level, we will highlight international perspectives on AI’s impact on HCI education, industry dynamics, and funding considerations across various cultures and regions. Featuring a diverse group of panelists, including academic leaders in HCI education and industry experts from various regions, this panel aims to foster collective reflection at CHI on key questions crucial to sustaining the future of HCI as an international community.
P6: Biodesign x AI: Interactions in the Algorithmic Wet Lab
Wednesday, April 15, 2026 (16:30 – 18:00 CEST)
Authors:
- Raphael Kim, Biodesign Academy Ltd, London, United Kingdom
- Yuning Chen, Design Informatics, University of Edinburgh, Edinburgh, United Kingdom
- Carolina Ramirez-Figueroa, School of Communications, Royal College of Art, London, United Kingdom
- Jiwei Zhou, KTH Royal Institute of Technology, Stockholm, Sweden
- Orkan Telhan, Design.bio, Cambridge, United Kingdom Biodesign Challenge, New York, New York, United States
- Iohanna Nicenboim, Interdisciplinary Transformation University Austria, Linz, Austria Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
- Martyn Dade-Robertson, Northumbria University, Newcastle, United Kingdom
- Margherita Pevere, Linköping University, Linköping, Sweden
- Zoë Robaey, Wageningen University, Wageningen, Netherlands
Description: Artificial intelligence is entering biological laboratories not only as a computational tool but as a co-experimenter that proposes, selects, and learns from interactions with living matter. As models increasingly steer protein engineering, material morphogenesis, and bioart, design decisions and feedback loops become distributed across humans, algorithms, and organisms. This panel stages a focused debate around three questions for HCI: Who designs these hybrid workflows? Where does responsibility lie when outcomes emerge from coupled human–algorithm–organism systems? What counts as interaction when learning unfolds simultaneously in code, cells, and infrastructures? Panelists from design research, computational biology, ethics, and art offer contrasting provocations grounded in cases from automated wet labs, living interfaces, and critical biodesign. Through case-based debate and moderated audience discussion, the session introduces the algorithmic wet lab as a new locus of interaction, offering attendees an expanded vocabulary of material intelligence and contested directions for AI × Biodesign within HCI.
P7: Sustainable Body Transformation Experiences
Thursday, April 16, 2026 (14:15 – 15:45 CEST)
Authors:
- Ana Tajadura-Jiménez, Department of Computer Science and Engineering, Universidad Carlos III de Madrid, Leganés, Madrid, Spain; UCL Interaction Centre, University College London, London, United Kingdom
- Elena Márquez Segura, Department of Computer Science and Engineering, Universidad Carlos III de Madrid, Madrid, Spain
- Laia Turmo Vidal, Media Technology and Interaction Design, KTH Royal Institute of Technology, Stockholm, Sweden
- Kristina Höök, Media Technology and Interaction Design, KTH Royal Institute of Technology, Stockholm, Sweden
- Kristi Kuusk, Textile Futures, Estonian Academy of Arts, Tallinn, Harjumaa, Estonia
- Pedro Lopes, University of Chicago, Chicago, Illinois, United States
- Mel Slater, University of Barcelona, Barcelona, Spain
Description: HCI is increasingly shaped by technologies that transform how people perceive, inhabit, and act with their bodies. Decades of research across psychology, neuroscience, somaesthetics, and HCI show that bodily experience is flexible and continually shifting, and that sensory, material, and computational interventions can open new ways of perceiving, sensing, moving, acting, and making sense of and with your body. As these transformations enter everyday life—through shape-changing wearables, computational textiles, sensory-augmentation devices, and immersive mixed reality—a central challenge emerges: how might designers support sustainable Body Transformation Experiences that matter without assuming change must be linear, lasting, or predictable? This panel brings together HCI experts with distinct yet complementary perspectives to examine what “sustainability” means for transformative body technologies. Bridging empirical science, somaesthetic design, material innovation, and VR research, the panel explores four themes—Experience, Materiality, Everyday Integration, and Ethics/Politics—to articulate pathways for technologies that support meaningful, inclusive, ethically-grounded transformations of embodied experience.
P8: Human-Centred AI or AI-Enabled HCI?
Thursday, April 16, 2026 (16:30 – 18:00 CEST)
Authors:
- Yvonne Rogers, UCLIC, UCL , London, United Kingdom
- Elizabeth F Churchill, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
- Matt Jones, Swansea University, Swansea, United Kingdom
- Lucia Terrenghi, Google, Zürich, Switzerland
- Johannes Schöning, University of St. Gallen, St. Gallen, Switzerland
Description: This panel will prompt the audience to discuss how AI is transforming HCI while still holding aspirations to make AI more human-centred. Like many other disciplines, HCI is facing a crisis, having to decide how, what, and when to use AI in its research and practice. The panel will begin by examining the impact that human-centred AI has had on society and technology development, and conversely, reflect on what we as a community should be doing in the face of GenAI being increasingly used in research and practice. Finally, we will ask the audience to consider the merits and dangers of a world where GenAI takes over much of what used to be done by ‘hand and head’.