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Co-Gov_AI 2026 : Community-in-the-Loop Governance in AI-enabled Socio-Technical Systems (Special Track @ GoodIT) | |||||||||||||
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Call For Papers | |||||||||||||
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CFP: Co-Gov-AI Special Track @ GoodIT 2026
Pisa September 2-4, 2026 https://goodit2026.di.unipi.it/call_for_papers.html#special-track-6-title Paper submission deadline: 17 May, 2026 This track solicits (interdisciplinary) contributions including technological or/and social perspectives to support more transparent, participatory, and sustainable governance of AI-enabled socio-technical systems (Full CfP below) ---------------------------------------------------- Co-Gov-AI: Community-in-the-Loop Governance in AI-enabled Socio-Technical Systems ---------------------------------------------------- In modern society, citizens, communities, industry, public institutions, regulatory bodies, and decision-makers are part of AI-enabled socio-technical systems (AI-STS). Instances of AI-STS include neighborhoods, campuses, buildings, home and everyday living systems, as well as more specialized environments such as health and wellbeing, energy distribution and transport systems, or self-driving vehicles. While intelligent technologies and data from different sources are increasingly adopted in practice, we still experience a significant disconnect between governance and communities/societal actors regarding, e.g., limited inclusion, transparency, contestability, oversight mechanisms, accountability, participation, data contribution and field evaluations. This track welcomes (interdisciplinary) work spanning both technology and social aspects to support better-informed and more sustainable decision-making on AI-STS. ** Topics of interest include (but are not limited to): ** - community-in-the-loop governance, e.g., participatory sensing, citizen science, mechanisms and processes involving collective values and norms during systems design and deployment (no-code or low-code included) - evidence-to-policy, e.g., pathways, models, and solutions translating citizen/community evidence into institutional decisions and sustained change, where AI plays a leading or assistant role - contestability, e.g., methods, models, processes, prototypes and solutions for challenging AI decisions affecting the collectivity - oversight mechanisms e.g. independent assurance/independent eyes: audits, verification/validation, and field-ready assurance cases, audit trails, veto/appeal, and dispute-resolution mechanisms on AI-STS - accountability-by-design, e.g., guidelines, models, documentation, and solutions for traceability/provenance of data and decisions within an AI-enabled system - field / longitudinal evaluation, e.g., equity, trust/agency, institutional uptake, behavior change, real-world impact, mix of authoritative & crowd-sourced data governance, citizen-centric and friendly digital twins ** Submission guidelines ** We solicit the submission of full papers presenting original research, systems, methods, or evaluations aligned with the track. Submissions must follow the ACM double-column format and the GoodIT limits (up to 9 pages, including references, figures, and tables). Work-in-Progress papers should be a maximum of 4 pages. (ACM double-column format). Any submission that does not comply with these guidelines may be desk-rejected without further review. The manuscripts must be submitted through HotCRP at https://goodit2026.hotcrp.com/ Accepted papers will be presented in person and included in the conference proceedings, in line with GoodIT policies. ** Paper submission deadline: 17 May, 2026 ** ** Paper Notification: June 7th, 2026 ** ** Conference: 2-4 September 2026 ** ** Review process ** All submissions will undergo single-blind peer review with at least three reviews per paper, conflict-of-interest management, and PC discussion. Evaluation will consider: novelty, soundness/rigor, relevance, verifiability/transparency, presentation, and real-world connection. ** Program Committee (to be completed) ** Alejandro Marín-Menéndez (CSIC, Spain) Alessio Bucaioni (Mälardalen University, Sweden) Antonio Jara (Libelium, Spain) Daniela Vasari (Municipality of Ancona, Italy) David J. Cuartielles Ruiz (Malmö University, Sweden) Eduardo Illueca (Karolinska Institutet, Sweden) Elena Not (Fondazione Bruno Kessler, Italy) Elisa Rojas (Universidad de Alcalá, Spain) Gordana Dodig-Crnkovic (Mälardalen University, Sweden) Jan Peters-Anders (AIT - Austrian Institute of Technology, Austria) Javier García Zubia (University of Deusto, Spain) Jorge Azorín-Lopez (University of Alicante, Spain) Luis I. Gordillo Pérez (University of Deusto, Spain) Marco Pistore (Fondazione Bruno Kessler, Italy) Marina Eirini Stamatiadou (Aristotle University of Thessaloniki, Greece) Martina De Sanctis (Gran Sasso Science Institute,, Italy) Mohammad Jadidi (University of Bristol, UK) Nervo Verdezoto (Cardiff University, UK) Oihane Gómez-Carmona (University of Deusto, Spain) Paola Inverardi (Gran Sasso Science Institute, Italy) Sérgio Duarte Correia (Portalegre Polytechnic University, Portugal) Teodoro Montanaro (University of Unisalento, Italy) Unai Hernández (University of Deusto, Spain) ** Special Track Organizers ** Romina Spalazzese¹, Diego Casado-Mansilla², Paul Davidsson¹ and Diego López-de-Ipiña² ¹ Malmö University (Sweden) ² University of Deusto (Spain) |
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