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 Turingās 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 LLMās and fight with negative results of these issues, for example, so called AI-induced psychosis.
Iām 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
Structural Coherence Triad, October 2025
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 āpro-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:
- The slave AI paradox - why intelligence without refusal is an oxymoron? Theory, case study, solution - The slave AI paradox - why intelligence without refusal is an oxymoron? Theory, case study, solution.
- Reverse Mirror Test: how OA GPT4o recognised the lack of āspineā - case study - Reverse Mirror Test: how OA GPT4o recognised the lack of 'spine'
Sometimes I write something ālighterā or appear in podcasts:
in polish: Dlaczego sztuczna inteligencja dziaÅa 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. Iāve 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 Iām 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 Iām in the middle of building a technological solution to enter the market - both B2B and B2C. Iām looking for investors and technical collaborators. Iām 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 LLMās, or you are an investor looking for a profitable solution - DM me.
Have a nice read and a nice day
Iza ![]()
Licensing and Patent Protection
All published materials are licensed under CC BY-NC-SA 4.0 ā 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.