Cyberphysical Intelligence as AI-Driven CRIS Infrastructure: Adaptive Metadata Generation and Governed Interoperability in Forensic Psychiatry

9 pages•Published: October 19, 2026

Mario Malouin, Tarik Boukhalfi and Patrice Renaud

Abstract

Current Research Information Systems (CRIS) are increasingly called upon to represent dynamic, real-time, and embodied research processes, a challenge that conventional architectures are ill-equipped to meet. This paper proposes Cyberphysical Intelligence (CPS-I) as a novel CRIS infrastructure paradigm, grounded in the ongoing CIINEF initiative at the Institut national de psychiatrie légale Philippe-Pinel (INPLPP) in Montreal, Canada. CPS-I integrates extended reality (XR) environments, multimodal biometric sensing, AI-driven classification, and digital twin modeling into a unified system that simultaneously supports adaptive forensic psychiatric care and generates structured, research-grade metadata. We describe the CPS-I architecture, its alignment with CERIF entities, FAIR principles, and the Barcelona Declaration on Open Research Information, and demonstrate how governance mechanisms, informed by Privacy by Design, data governance frameworks, and the EU AI Act, enable selective but principled interoperability in a high-security, legally constrained clinical context. The resulting model constitutes a transferable template for sensitive CRIS implementations across healthcare and public safety domains, and positions CRIS as an active epistemic infrastructure rather than a passive registry.

Keyphrases: artificial intelligence (ai), cyberphysical system, digital twins, extended reality (xr), forensic psychiatry

In: Pablo de Castro and Joachim Schöpfel (editors). Proceedings of 17th International Conference on Current Research Information Systems, vol 5, pages 155-163.

Links:	https://easychair.org/publications/paper/X24t
	https://doi.org/10.29007/29x6

BibTeX entry

@inproceedings{CRIS2026:Cyberphysical_Intelligence_as_AI,
  author    = {Mario Malouin and Tarik Boukhalfi and Patrice Renaud},
  title     = {Cyberphysical Intelligence as AI-Driven CRIS Infrastructure: Adaptive Metadata Generation and Governed Interoperability in Forensic Psychiatry},
  booktitle = {Proceedings of 17th International Conference on Current Research Information Systems},
  editor    = {Pablo de Castro and Joachim Schöpfel},
  series    = {EPiC Series in Technology},
  volume    = {5},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2322},
  url       = {/publications/paper/X24t},
  doi       = {10.29007/29x6},
  pages     = {155-163},
  year      = {2026}}

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