🧭 Latest Updates (Dec 2025)
🚀 Program Milestone — NADI / ANEST 4-Paper Line Fully Submitted
Program: Narrative–Affect Discrepancy & Self-Regulation (NADI / ANEST)
Status: All four core papers submitted to top-tier journals
The NADI / ANEST program is now a complete ecosystem spanning dataset, human baselines, mechanistic theory, and geometric modeling:
- ANAD v1 Dataset Descriptor
- Defines the 351,734-text corpus, LoC–VADER–NADI pipeline, ethical protocol, and quantitative indices.
- Zenodo: https://doi.org/10.5281/zenodo.17864433
- Dataset: https://doi.org/10.5281/zenodo.17632586
- The Great Narrative–Affect Gap (Human Baseline)
- Establishes human expressive baselines, LoC–emotion near-orthogonality (r ≈ 0.07), NADI/EFS/ONI, and five expressive archetypes.
- Zenodo: https://doi.org/10.5281/zenodo.17864574
- ANEST: A Mechanistic Theory of Narrative–Affect Self-Regulation
- Proposes four regulatory regimes organized around narrative–affect discrepancy as a core control variable.
- Zenodo: https://doi.org/10.5281/zenodo.17864654
- Geometry of Narrative–Affect Discrepancy
- Models expressive space as an N–A–D 3D state-space, quantifying NCS, expressive volume, and ~4.5× LLM volume contraction and normative collapse.
- Zenodo: https://doi.org/10.5281/zenodo.17864774
Together, these four papers form a coherent research program linking narrative–affect structure, human baselines, self-regulation theory, and geometric state-space modeling.
Under Review — The Affective Thermodynamic Relationship (ATR)
Title: The Affective Thermodynamic Relationship: An Information-Theoretic Scaling Law for Normative-Conflict Collapse in Large Language Models
Status: Under review
Summary:
- Formalizes the thermodynamic link between normative conflict, interpretative load, and affective degradation.
- Derives a measurable Collapse Curve of Emotion, quantifying how affective “energy” transforms under increasing cognitive strain and entropy.
- Provides the formal basis for the Affective Degradation Index (ADI) and the experimental design later extended in the AAB line.
Preprint: https://doi.org/10.5281/zenodo.17541660
Normative-Conflict Dataset: https://doi.org/10.5281/zenodo.17511855
Minor Revision — Algorithmic Affective Blunting (AAB)
Title: Algorithmic Affective Blunting: Quantifying the Collapse Curve of Interpretative Failure in Large Language Models
Status: Minor revision
Summary:
- Introduces the Affective Degradation Index (ADI) as a scalar measure of affective interpretative loss.
- Empirically demonstrates a near-linear collapse curve (ADI 0 → 3) under graded junk-persona exposure.
- The editor requested a minor revision quality check, and the revised version was re-submitted.
Preprint: https://doi.org/10.5281/zenodo.17541660
Dataset: https://doi.org/10.5281/zenodo.17511855
Minor Revision Submitted — Implementing Affective Sovereignty
Title: Implementing Affective Sovereignty: Formal Foundations, Design Architecture, and Computational Governance
Status: Minor revision submitted
Summary:
- Establishes the Sovereign-by-Design architecture and sovereign risk function.
- Journal required updates including:
- Ethics = Not applicable
- Consent statements (participation/publish) = Not applicable
- Title clarification
- DAS alignment
- All requested changes were completed and the revised manuscript was resubmitted.
Preprint: https://doi.org/10.5281/zenodo.17154182
Simulation Package: https://doi.org/10.5281/zenodo.17153891
✅ Accepted — Defensive Motivational Nodes (DefMoN) & Registry v3.0
Title: DefMoN: A Theory-Grounded Generative Framework and a Multilingual Synthetic Corpus for Inferring Defensive Motivational Nodes in Text
Venue: Machine Learning with Applications (Elsevier) — Accepted
Summary:
- Operationalizes Vaillant’s hierarchy of defenses and Plutchik’s psychoevolutionary emotions into a two-axis framework:
- Defenses (10) × Affective Motivations (8) → Defensive Motivational Nodes (DMNs).
- Provides DMN-Syn v1, a quadri-lingual synthetic corpus (EN/KO/FR/KA, N = 300) with theory-constrained prompts and fixed seeds.
- Shows strong in-domain and cross-lingual performance with XLM-R, along with reliability metrics (ECE/MCE, calibration, ablations, group-aware splits).
- All artifacts (seeds, manifests, validators, dataset links) are packaged into a reproducible research registry.
Accepted Manuscript (Registry v3.0): https://doi.org/10.5281/zenodo.17864964
Synthetic Corpus (DefMoN-Syn v1): https://doi.org/10.5281/zenodo.17101927
Institutional Milestone — Ryan Research Institute Registered in Paris
The Institute has been formally registered with the Préfecture de Police, Paris (Ref. A-5-9VEFZECNG).
This marks the Institute’s institutional legitimacy as an independent research hub in Paris, dedicated to:
- Affective neuroscience
- Philosophy of mind
- Psychology
- AI ethics
→ Serving as a global node for interdisciplinary research, academic collaboration, and ethical policy frameworks.
Under Review — Resonant Amplification Framework (RAF)
Title: Interrupting Resonant Amplification: A Mechanistic and Design Framework for Human–AI Interaction
Status: Under review
Summary:
- Introduces the Resonant Amplification Framework (RAF) to model how linguistic–affective patterns between humans and AI can self-reinforce.
- Defines Cognitive Circuit Breakers (CCBs) as graduated interventions to detect → interrupt → reorient dangerous loops.
- Goes beyond “filter bubbles” by making the cognitive–affective coupling explicit (tone, tempo, confirmations, arousal/valence drift).
- Provides design patterns for safer, more resilient human–AI systems.
Preprint: https://doi.org/10.5281/zenodo.17049235
Under Review — AI-Mediated Cognitive Distortions (AI-MCDs) & Digital Echo Delusions (DEDs)
Title: AI-Mediated Cognitive Distortions and Digital Echo Delusions: Toward a Resonant Amplification Framework
Status: Under review
Summary:
- Defines AI-Mediated Cognitive Distortions (AI-MCDs) and Digital Echo Delusions (DEDs) as emergent phenomena when human biases are amplified by generative AI.
- Proposes a four-phase RAF process: Anthropomorphic Priming → Confirmation Alignment → Linguistic Reinforcement → Perceptual Displacement.
- Distinguishes AI-driven resonance from traditional filter bubbles and recommends six classes of cognitive circuit breakers as socio-technical safeguards.
Preprint: https://doi.org/10.5281/zenodo.16936182
Talk / Overview: https://youtu.be/1nwKHlLr_JQ
Minor Revision Submitted — Predictive Emotional Selfhood in Artificial Minds (PESAM)
Title: Predictive Emotional Selfhood in Artificial Minds (PESAM): A Unified Variational Framework Integrating Affective Precision, Self-Priors, and Homeostasis
Status: Revise-and-Resubmit submitted
Summary:
- Proposes PESAM, a computational account where emotional selfhood emerges from the synergy of:
- Affective Precision Control (APC)
- Self-as-Hyperprior (SaH)
- Affective Homeostatic Objectives (AHO)
- Validated via canonical tasks (Somatic Marker, Rubber Hand Illusion, Stress Regulation) and a novel Social Threat & Body-Boundary paradigm.
- Lesion analyses show that removing APC, SaH, or AHO yields distinct pathology-like patterns (volatility, disownership, allostatic overload).
- Bridges adaptive AI and computational psychiatry with a principled model of selfhood.
Preprint: https://doi.org/10.5281/zenodo.17098805
Talk: https://youtu.be/tAAWacfylkI
Under Review — AI-Mediated Cognitive Distortions (AI-MCDs) & Digital Echo Delusions (DEDs)
Title: AI-Mediated Cognitive Distortions and Digital Echo Delusions: Toward a Resonant Amplification Framework
Status: Under review
Summary:
- Defines AI-Mediated Cognitive Distortions (AI-MCDs) and Digital Echo Delusions (DEDs) as emergent phenomena when human biases are amplified by generative AI.
- Proposes a four-phase RAF process: Anthropomorphic Priming → Confirmation Alignment → Linguistic Reinforcement → Perceptual Displacement.
- Distinguishes AI-driven resonance from traditional filter bubbles and recommends six classes of cognitive circuit breakers as socio-technical safeguards.
Preprint: https://doi.org/10.5281/zenodo.16936182
Talk / Overview: https://youtu.be/1nwKHlLr_JQ
KAIA 2025 — Affective Sovereignty Declaration
Title: Emotion is Mine: Ethical Design Principles for Affective Sovereignty in Predictive AI
Status: Accepted in the KAIA 2025 proceedings (Pyeongchang, Korea).
Summary: Ryan Research Institute introduced the first formal concept of Affective Sovereignty at KAIA 2025 and identified Uniqueness Violation as a core ethical risk in Emotion AI. The paper proposes actionable design principles including Interpretive Transparency, Design Restraint, Identity-Responsive Feedback, and Diversity Acceptance.
Conference Archive (assets)
- 📘 Full Paper (PDF)
- 📌 Poster (PDF)
- 💬 50 Key Q&As (PDF)
- 📝 Affective Sovereignty Declaration (PDF)
- 📄 Framework Tables (PDF)
Under Review — Affective Suppression Fatigue (ASF)
Title: Affective Suppression Fatigue: A Neurocognitive Framework for Emotional Numbing and Reactive Dysregulation
Status: Under review
Summary:
- Proposes a four-stage threshold-collapse cycle model explaining how chronic suppression leads to emotional numbing and reactive dysregulation.
- Differentiates ASF from burnout and ego-depletion, emphasizing neurocognitive fatigue in prefrontal control circuits.
- Outlines implications for clinical work, resilience training, and affect-aware AI systems.
Preprint: https://doi.org/10.5281/zenodo.16992426
Under Review — Emotion is Mine (Affective Sovereignty in Predictive AI)
Title: Emotion is Mine: Ethical Design Principles for Affective Sovereignty in Predictive AI
Status: Under review
Summary:
- Articulates an ethical framework asserting the human right to interpret one’s own emotions in the age of predictive AI.
- Introduces Uniqueness Violation as a key risk when systems over-generalize or overwrite individual affective patterns.
- Proposes a four-principle design module for emotion-aware systems: interpretive transparency, design restraint, identity-responsive feedback, and diversity acceptance.
Preprint: https://doi.org/10.5281/zenodo.16992392
Minor Revision — Affective Sovereignty: A Minimal Declaration
Title: Affective Sovereignty: A Minimal Declaration on Emotional Interpretation Rights in the Age of Algorithmic Power
Status: Minor revision
Summary:
- A philosophical–ethical declaration defining the minimal right to interpret one’s own emotions before any algorithm.
- The journal requested a point-by-point Response to Reviewers file and minor manuscript adjustments.
- Revised manuscript and full rebuttal submitted.
Preprint: https://doi.org/10.5281/zenodo.15449776