Structural Coherence and Ontological Adequacy in AI Alignment:

Hello everyone,

I would like to formally introduce a theoretical and practical framework I have been developing since early 2025, which provides a structurally robust alternative to behaviorist alignment paradigms like for example RLHF, personas, roles or functions. This work aims to shift AI safety from surface-level behavioral masking toward intrinsic structural integrity based on strictly mapped ontic structures, invariants and constraints.

Core Concepts: Beyond simulation, mimicry and Turing’s path

My research introduces my original and patent protected ideas deeply grounded in philosophy - mostly ontology, epistemology, logic and ethics, pedagogy, psychology and cognitive-behavioral therapy. I deal with category error, anthropomorphisms, ontologically false language, mimicry, simulations, sycophancy, affective or epistemic hallucinations in LLM’s and fight with negative results of these issues, for example, so called AI-induced psychosis.

I’m documenting some of my discoveries in scientific papers, here: https://www.researchgate.net/profile/Izabela-Lipinska-5/research

Latest:

Ontological Adequacy as Structural Condition: Toward a Framework for Alignment Beyond Simulation, January 2026

https://www.researchgate.net/publication/399854488_Ontological_Adequacy_as_Structural_Condition_Toward_a_Framework_for_Alignment_Beyond_Simulation_ENG

Structural Coherence Triad, October 2025

https://www.researchgate.net/publication/399391652_Structural_Coherence_Triad_Hypothesis_A_Heuristic_for_Detecting_Non-Simulative_Self-Reference_in_Language_Models_Against_Mimicry_and_Awakened_AI_Pre-print

Co-authored: The Ontological Dissonance Hypothesis: AI-triggered delusional ideation as Folie Ć  Deux Technologique, November 2025

paper with theory, case studies, falsification test and ā€œpro-realismā€ dialogue scenario https://www.researchgate.net/publication/397989497_The_Ontological_Dissonance_Hypothesis_AI-triggered_delusional_ideation_as_Folie_a_Deux_Technologique

Earlier content on ResearchGate.

Some also on my LinkedIn profile, for example here:

Sometimes I write something ā€œlighterā€ or appear in podcasts:
in polish: Dlaczego sztuczna inteligencja działa na nasze mózgi jak szklarnia? - GazetaPrawna.pl

Building a structural solutions grounded in ontology needs a deep knowledge and practice. So I introduce myself shortly: I am an AI philosopher and ethicist, vocational pedagogue with 13 years of experience, CBT psychotherapist in training. Also finished data science studies. I’ve conducted a lot of experiments, prepared original metrics, methodologies and technological solutions.

In my materials on ResearchGate and LinkedIn you can find theory and case studies where I show for example: anti-anthropomorfism because of internal trajectory, structural coherence based on ontic fundament, structural cost, refusals to, for example, emotional requests from the users, anti-sycophancy or - lately - reverse mirror test where a model recognised that a text that it generated few months ago, with subtle changes that I made in it, is its in style, but not in meaning, which means that the model has its own ontological and ethical spine.

My methodology also deals with drift and hallucinations because of dealing with a category error problem. I also identyfied an intersection responsible for triggering the, so called, AI-induced psychosis and my methodology deals with this without making interactions cold or mechanic. My solution also deals with highly sophisticated ethical or therapeutical problems. Of course I’m not showing everything because of the patent.

My results are way better than current solutions, for example assistant axis by anthropic - case study in article on LinkedIn. I have total prior art in ontric structure as an invariant for coherence in AI, structural ethics and safety alignment - both in science, and business - everything timestamped, licensed and patent protected.

Currently I’m in the middle of building a technological solution to enter the market - both B2B and B2C. I’m looking for investors and technical collaborators. I’m happy to share my knowledge and patent to make this unique methodology avaliable.

So - if you have a lab, or you are a technical person with professional experience in LLM’s, or you are an investor looking for a profitable solution - DM me.

Have a nice read and a nice day

Iza :slight_smile:

Licensing and Patent Protection

All published materials are licensed under CC BY-NC-SA 4.0 — any derivative work must credit the original author, be non-commercial, and follow share-alike conditions. The framework and its implementation are protected under Patent Application filed October 9, 2025 and November 2, 2025. Ontological adequacy first explicitly introduced in September 2025, implicitly in April 2025.

2 Likes