{"type":"ScholarlyArticle","title":"A Privacy-Preserving Intelligent Assistant for Clinical Psychology Practice","authors":[{"name":"Aaron Pico","slug":"aaron-pico","given":"Aaron","family":"Pico","affiliation":""},{"name":"Joaquin Taverner","slug":"joaquin-taverner","given":"Joaquin","family":"Taverner","affiliation":""},{"name":"Emilio Vivancos","slug":"emilio-vivancos","given":"Emilio","family":"Vivancos","affiliation":""},{"name":"Ana Garcia-Fornes","slug":"ana-garcia-fornes","given":"Ana","family":"Garcia-Fornes","affiliation":""},{"name":"Vicent Botti","slug":"vicent-botti","given":"Vicent","family":"Botti","affiliation":""}],"abstract":"This paper describes a fully local, privacy-preserving intelligent system designed to assist in clinical psychology practice. The system automatically transcribes therapy sessions performing speaker attribution. Beyond transcription, the tool enhances clinical reasoning by detecting cognitive distortions and emotional patterns utilizing specialized deep learning classifiers and Large Language Models (LLMs). By guiding an LLM locally through a multi-step analysis process, the assistant synthesizes the enriched data and generates a series of analysis reports and clinical documentation of the session. As a result, the assistant reduces the administrative burden on professionals while preserving privacy with an edge computing approach in which the data never leaves the therapist's device. Finally, the assistant uses human-in-the-loop validation so that the professional always remains in control, ensuring clinical accuracy and trust.","doi":"10.24963/ijcai.2026/985","url":"https://ijcai.org/proceedings/2026/985","pdf":"https://ijcai.org/proceedings/2026/0985.pdf","markdown":"https://ijcai.org/proceedings/2026/985.md","bibtex":"https://ijcai.org/proceedings/2026/bibtex/985","volume":{"slug":"2026","title":"Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2026","url":"https://ijcai.org/proceedings/2026/","year":2026,"location":"Bremen, Germany","dates":"15-21 August 2026","editors":"Diego Calvanese","isbn":"978-1-956792-09-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2026"},"section":"Demo Track","track":"Demo Track","number":985,"pages":{"first":8483,"last":8486},"keywords":["AI: Humans and AI","AI: Multidisciplinary Topics and Applications","AI: AI Ethics, Trust, Fairnes","AI: Natural Language Processing"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}