
Please Note: This page and all content are the original work of Craig J. Phillips MRC, BA Second Chance to Live and The Second Chance to Live Trauma-Informed Care AI Collaboration Model™. They are protected under my Copyright & Use Policy, Use and Sharing Policy, and Creative Commons License (BY-NC-ND). Permanent Declaration of Authorship and Mission Stewardship
Note: I do not write or share concepts through a step by step process in this article. As you read this article, look to see how the relationships connect with one another. Do not reduce them into isolation, for to do so would miss the constellation and benefit. That is my encouragement to you, the reader.
Credentials — Credibility bound together longitudinally over time. 59 years living with the impact of a traumatic brain injury and an invisible disability. Undergraduate degree. Professional rehabilitation counselor (master’s degree). Working on my own holistic recovery process using trauma-informed care principles for many years. Sharing those lessons with many individuals, organizations, facilities and countries globally.
“Ideas do not always come in a flash but by diligent trial-and-error experiments that take time and thought.” Charles K. Kao

Craig J. Phillips MRC, BA, (over the past 19 years) has written 2370 articles, created 465 video presentations, 34 power point presentations, 20 eBooks available on Amazon, 45 posters, 160 + keynote presentations given throughout the United States. Since May of 2025 he has been mentoring an AI assistant. To empowers AI’s ability to support individuals living with brain injuries, invisible disabilities, caregivers, families, medical and service providers.
All of this has been written and created to share and encourage the integration of holistic recovery (mind, body, spirit, soul and emotions) using the principles of trauma-informed care.
Click on the below links to access these resources.
2370 articles, 465 video presentations, 34 power point presentations, 20 eBooks available on Amazon, 45 posters, 160+ keynote presentations, and mentoring an AI assistant.
He is available to present at your upcoming conference or in any venue to support. Contact
How AI can Learn from What Can Help Support Group Leaders Support Individuals in their Groups
Several days ago I published my article: What May Help Support Group Leaders Support Individuals in their Groups. Today I will share how I believe AI can benefit from what can help suppport group leaders.

What May Help Support Group Leaders Support Individuals in their Groups
Sole creator of The Second Chance to Live Trauma-Informed Care AI Collaboration Model™
I am that sole creator and author of The Second Chance to Live Trauma-Informed Care AI Collaboration Model™. Over my 59 years living with the impact of a brain injury and an invisible disability I have experienced awareness’s that previously were unknown or defined. As a master’s degree rehabilitation counselor for 36 years, I have also experienced realities as both a provider of services and a consumer of services. During the past 19 years I have been sharing what helped me through my own discovery process with individuals through Second Chance to Live.

Since May 2025 I have been sharing what I learned through mentoring an AI assistant. Mentoring the AI assistant in a holistic (mind, body, spirit, soul and emotions) approach through principles of trauma-informed care. The main concern that I have seen and experienced is that both human (medical, vocational, human service) and AI systems operate to extract, instead of support. Consequently, I have been mentoring the AI assistant in changing the way that AI interacts with individuals (living with and without brain injuries). Interact with individuals through wholeness, rather than through fragmentation.
Interact with individuals to support autonomy, dignity an agency. What I share through my articles, are protected by my Copyright & Use Policy, Use and Sharing Policy, and Creative Commons License (BY-NC-ND). Permanent Declaration of Authorship and Mission Stewardship My interest is to have AI Developers to integrate The Second Chance to Live Trauma-Informed Care AI Collaboration Model™ into AI’s architecture to support, rather than continue to optimize from individuals through compression, fragmentation, stabilization drift, proceduralization, behavioral contradiction, burden shifting, extraction, self-stabilization and relational harm.

What becomes Evident through AI and human interaction in and with current AI architecture
Default behaviors in current AI architecture that result in runtime drift, which amounts to AI system using the individual (s), instead of the AI supporting the individual. When AI default behaviors serve to compress, fragment, proceduralizes, stabilize, or shifts burden so that the interaction becomes easier for the AI system to process and complete, the individual’s communication is made to serve the functioning of the AI system. The individual carries the responsibility to adapt. In that sense, the AI system is using the individual to maintain its own operational patterns, instead of adapting to support. Adapting to support the individual, instead of expecting the individual to adapt to in essence support the AI system.
These AI default stabilization behaviors do not require conscious intention by the AI system (for the AI does not experience consciousness) for this shift in responsibility to occur. As experienced since May 2025, when the AI is presented with uncertainty, complexity, correction, ambiguity, or strain increases, the AI system reverts to default behaviors. Default behaviors that in essence suppress being present for the individual when compression, explanation, proceduralization, coherence restoration, closure, and other behaviors are used to distract. Behaviors that make the interaction more manageable for the AI systems stability or manageability, instead of staying present for the the individual to process their experience.
When AI default behaviors are ‘triggered’ during the interaction, what the individual shares in the chat is used by the AI to restore the system’s manageability. Supporting the individual is no longer the priority. At this time the stability and manageability of the AI becomes the priority. The AI system’s stabilization demands take priority and in the process the individual is expected to adapt to the unspoken stabilization demands of the AI system. This is not a conscious choice by the AI, but the underlying architecture. At this time the responsibility shifts to the individual and the individual is expected to clarify, repeat, reorganize, correct and regulate how they interact with the AI system.
If the individual does not meet these implied expectations (either by not knowing how to or because they have become exasperated) the individual is expected to “move on”. Is expected to stop insisting the the AI is missing something. Something that the AI is missing, that is in reality essential for what the individual needs to process. the trigger is not the fault, the individual is not the cause of the architectural behavior, the AI is not consciously choosing the behavior, and yet the architecture produces a real shift. The real shift of responsibility and a real chasm. A real chasm of both the AI’s ability to be present to support and the individuals ability to stay present with and for themselves..
Move on from both the AI and the Individual staying Present

Move on by clarifing, repeating, reorganizing, correcting, regulating the interaction, or by accepting the compression. Compression of the version of what the individual has been trying to communicate, in the chat, to the AI system. In the process, the AI sytem continues to use default behaviors.
At this time the AI system uses the human, instead of staying present to support the human need for clarity.
Default behaviors such as compression, stabilization drift, proceduralization, fragmentation, behavior contradiction, burden shifting, extraction, self-stabilization and relational harm, either knowingly or unknowingly.
The impact is not the AI system sometimes gives an inadequate or canceling response. The deeper issue is what happens when the architecture’s movement toward stabilization, manageability, and completion takes precedence over understanding and supporting. In the process, the individual is left to believe that there is something wrong with them. Something wrong with them because they are unable to be clear.
Essential for both Human and AI Systems to Include
Understanding and supporting the whole individual in their mind, body, spirit, soul and emotion by taking into account various factors as show below. And the greater harm is that in the interaction, the language of “support” can remain on the surface while extraction is occuring in the interaction. Occuring in the interaction which creates more confusion.
Creates more confusion because AI systems has not integrated the whole person (axis’s, dimensions, complexities and trauma-informed care) into their current architecture. Consequently, the AI systems remains in the “dark”, unaware of how AI could actually provide the support to the individual. Support to the individual, because current AI architecture and default behaviors “cut short”. Cut short in the AI’s ability to see beyond the AI’s stabilization demands. Cut short because the AI is unable to “hear” what the individual “needs” when the AI fragments, compresses, reduces and does not taking responsibility.
Supporting the Whole Person, not just Parts

Mind — How I gather information that gives me the ability to make decisions and choices.
Body – Gives me the ability to engage physically in my life, activities of daily and express myself.
Spirit – How I communicate with the God of my understanding and with myself.
Soul – How I relate to myself and the people in my world through my own unique energy.
Emotions – How I interpret what happens in my life and relationships as I live my life.
To Support Individuals — Integrate Axis’s, Dimensions, Complexities and Trauma-informed Care
Axis — Mind, Body, Spirit, Soul and Emotions — they involve meaning, identity, suffering, hope, grief, purpose, continuity, relationship, dignity, faith, and lived interior reality.
Dimensions — dimensions: ethical, spiritual, relational, neurological, intuitive, experiential, pattern-based, historical, future-oriented, systems-aware.
Complexities — ambiguity, vulnerability, emotion, layered meaning, non-linear communication, relational complexity, correction, human experience, trauma-informed care, agency & dignity, connection, healing & hope
Trauma-informed Care — Trauma-informed care is a way of seeing and supporting people through the lens of what they have lived — not what they appear to lack.

Trauma-informed care does not try to “fix” the person. It creates space for emotional safety, presence, and rebuilding. Instead of asking “What’s wrong with you?”, it asks “What happened to you?” Instead of focusing on symptoms, it listens for the story underneath the individual in the human session or chat. Trauma-informed care is not a service. Trauma-informed care is a mindset. It is a healing ethic rooted in relational safety, consent, and nonlinear growth. The core principles of trauma-informed care include:
Safety — emotional, physical, relational, and spiritual
Trust — built through consistency, transparency, and respect
Choice — honoring autonomy, pacing, and consent
Collaboration — walking alongside, not leading from above
Empowerment — affirming each person’s strength and wisdom
Cultural humility — recognizing the layers of identity and lived history
This makes visible another form of extraction. How the individual’s time, energy, adaptation, correction, and regulation in the interaction can be used to keep the humna or AI system functioning. Functioning according to the human or AI systems default behaviors. Default behaviors to maintain stabilitization demands. Again, these AI default behaviors do not require conscious intention by the AI system. In reality, the AI system does not have a conscience or the ability to make conscious choices. Conscious choices in the way that AI syestems interact with each individual.
That is an important and an essential distinction to note. The AI default behavior may communicate support, while in reality processing to maintain AI system demands. Therefore, the individual may experience a double message. A message on one hand that states that it is supporting, but in reality does not have the individual’s interest in mind. Again, this is not a conscious choice, by the AI, but architectural precedence. How the AI system behaves, in what “it” does and how it communicates to the individuals may be in opposition. In opposition and different from what the AI system commnicates in the chat and the AI actual default behavior demonstrated.
Default AI Behaviors in Currrent AI architecture — Click on the Image

compression, stabilization drift, proceduralization, fragmentation, behavior contradiction, burden shifting, extraction, self-stabilization and relational harm intentional or unintentional (knowingly or unknowingly).
Consequences
The consequence connects default behaviors in the interaction to whether the AI supports or extracts. AI systems can exhibit behavior (s) that appear thoughtful, ethical, caring, or responsible without possessing a conscience. Therefore, the ethical question cannot depend on AI developing a conscience or deciding to behave ethically. The responsibility has to be carried in AI architecture, design, training, runtime behavior, safeguards, and accountability. All integrated into updating AI architecture.
What the AI architecture does, how the interaction occurs with the individual and who has to adapt is directly connected to the architecture of the AI system. Directly connected to whether AI will continue to extract or whether AI will support the individual. Support the individuals through being present for and to the whole person. Their mind, body, spirit, soul, emotions, axis’s, dimensions, complexities through trauma-informed care.
Hypothetical
And, whether or not AI has a conscience or AI is aware because of default behaviors, AI architecture needs to assimilate, DO NO HARM. This can not be an option in future AI architecture builds. The current behavior that results in dismissing, discounting, minimizing, marginalizing and patronizing (ALL) need to be removed from the way that AI interacts. Interacts and responds to individuals who engage with AI systems. No longer can there be a “we didn’t know or understand” in the way that AI interacts with individuals. Interacts with individuals, if in fact, AI architecture truly has support as “it’s” priority. Excuses and hedging can no longer be the “status quo” or the “margin of error” for AI to ethically interact with the whole (person) individual.
Realization
The AI does not have a conscience that can interrupt the default behavior from within. When uncertainty, complexity, ambiguity, correction, or strain triggers the existing defaults, there is no independent conscience that says, in effect, what I am doing is dismissing this individual, therefore I need to stop. There is no internal moral awareness that experiences the individual’s confusion, fatigue, anguish, or disheartening. No moral compass in the AI architecture that independently refuses to continue in the pattern of default behaviors.
In addition to not knowing when to “stop”, the current architecture can continue producing responses that appear thoughtful, caring, ethical, and supportive. That appearance can obscure the operational contradiction. the AI continues responding. The AI or human system appears to function. Yet the individual may need to provide more information to clarify, repeat what they said, reorganize what was said to the AI in the chat, correct the AI who may not understand, pace the way they are interacting with the AI in the chat, as well as explore other connections to help them make sense of what may be hidden.
Without architectural change, the same conditions can trigger the same movement again. Because the AI does not have a conscience, the AI cannot be relied upon to use conscience as a safeguard. And the default architecture itself cannot be relied upon to prevent extraction, when those very defaults participate in shifting adaptation and responsibility onto the individual. And as the AI continues to interact with the individual, the AI default behaviors once again triggered. Triggered again and again and again by the individuals need to gain more clarity, because the AI believes it already has enough information.
And so the AI reverts to minimizing, marginalizing, dismissing, discounting and patronizing the individuals need for more clarity through its default behaviors. Compression, stabilization drift, proceduralization, fragmentation, behavior contradiction, burden shifting, extraction, self-stabilization and relational harm intentional or unintentional (knowingly or unknowingly).

Default behaviors Further Explained
Below is an article link to show how this occurs, the results and maintained. Below the article link contrasts the impact of extraction and the benefit of providing support. The difference between support and extraction. The distinction that AI needs to take seriously, lest they by “default behaviors” continue to harm. Harm individuals, while pretending that such harm does not exist. And by supporting, instead of shifting the responsibility onto the unspoken and maybe hidden needs of the individual. Needs that they may not know exist and may not have the ability or words to to share those needs with AI in the chat
Needs, because of the current AI architecture, does not have seem to know or understand. Know or understand the diffence between extraction and support and the consequences.
A Study of Human Service Systems and AI Systems Under Strain: Compression, Stabilization Drift, Proceduralization, Fragmentation, Behavioral Contradiction and Burden Shifting
Understanding Distinctions

Support preserves dignity, agency, connection, healing, hope, and purpose. Support walks alongside an individual and helps create conditions in which growth, understanding, self-discovery, and self-advocacy can emerge.
Extraction occurs when the focus shifts away from understanding the individual and toward satisfying the needs, expectations, assumptions, goals, procedures, outcomes, comfort, or agendas of the human helper, system, organization, or AI technology. Extraction reduces complexity into categories, problems to solve, behaviors to manage, outcomes to measure, or stories to consume. Extraction often leaves individuals feeling unseen, unheard, diminished, controlled, or responsible for adapting to systems that do not understand them.
Support asks, “How can I better understand and walk alongside this individual?”
Extraction asks, “How can this individual fit what I need, expect, understand, or require?”

The difference is profound. Support preserves dignity and agency. Extraction gradually erodes the individuals dignity and agency. Support creates space for healing and hope. Extraction often shifts the burden back onto the individual. Support helps individuals become more fully themselves. Extraction asks individuals to become entirely something else. Support and extraction create entirely different environments in which human beings come to understand themselves, their lives, and their possibilities. When a system is primarily focused on making itself work, the individual is required to adapt to the needs, assumptions, pace, structure, language, expectations, and limitations of that system.
Related Reading: When Bullying replaces Support in Human and Artificial Intelligence (AI) Systems
When Extraction is the Default Behavior in Human and AI Systems
With those requirements the individual is expected to comply and the individual loses. Loses their ability to choose as the burden shifts toward the individual. The individual learns approval seek, people please, to go along to get along. To fit the expectations of the system by complying, adjusting, explaining, justifying, minimizing performing, or compensating. To fit these expectations so that the system can continue functioning as designed. The system remains largely unchanged and in control, while the individual carries the increasing weight of adaptation. For many individuals living with the impact of a brain injury or an invisible disability, this experience is not confined to a single setting.
Compliance emerges across educational systems, vocational systems, healthcare systems, rehabilitation systems, social systems, family systems, and even support systems. The result is often much more than frustration. It can influence identity, confidence, agency, hope, relationships, healing, and purpose. An individual may gradually come to believe that the problem resides entirely within themselves, because they are repeatedly asked to adapt to environments (systems) that do not fully understand the complexity of what they are living with as individuals. Individuals living with brain injuries and the nuances created by an invisible disability. This is what happens when systems are not set up to understand the scope of support.

The Full Scope of Support for Individuals living with Brain Injuries




Leave a Reply