PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 12, 2026Frontiers in Psychology2 citationsOpen Access

Artificial intelligence as a digital analytic third: the SADAR framework for reflective supervision in psychotherapy

SSSabrina SignoriniWPWalter Paganin

Key Points

  • This framework aims to integrate artificial intelligence into reflective supervision for therapists, enhancing their reflective practice.
  • Defines the term 'dialogogic' and presents a three-step reflective process: positioning, dialogogic prompting, and critical integration.
  • Uses clinical vignettes to illustrate the framework's potential and limitations.
  • Ensures that outputs comply with reflective supervision protocols and do not replace direct patient data.
  • The framework expands the therapist’s reflective space and deepens countertransferential awareness.
  • AI serves as a supportive tool, not as a replacement for professional judgment or supervision.
  • Illustrative examples demonstrate varied applications and limitations of the SADAR approach.

Abstract

The SADAR (Sistema Autoesplorativo Dialogogico Autentico Relazionale—Authentic Relational Dialogogic Self-Exploratory System) positions AI as a Digital Analytic Third for therapists’ post-session reflection and clinical supervision, rather than for direct patient interventions or automated clinical decision-making. The SADAR frames AI as a dialogogic symbolic co-presence that expands the therapist’s reflective space and deepens countertransferential awareness, without replacing professional judgment or human supervision. This perspective article defines the term “dialogogic,” presents a three-step reflective process (positioning, dialogogic prompting, and critical integration), and illustrates the framework’s potential and limitations through two clinical vignettes. The operational implementation is detailed in a companion brief report. All outputs must adhere to reflective supervision protocols and should never replace direct patient data.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Signorini et al. (2026) studied this question.

synapsesocial.com/papers/6a02c2b9ce8c8c81e96402f9https://doi.org/10.3389/fpsyg.2026.1690291
Ask AI
Helpful
Bookmark
Share
View Full Paper