My Journey from Chronic Illness to Building an AI Governance Framework
From Chronic Illness to AI Governance: How Personal Struggle Led to Protecting Human-AI Boundaries
My Journey Which Led Me to AI
When people hear that I developed an AI governance framework, they often assume the journey began in a research lab or a corporate strategy meeting.
It didn’t.
My journey into artificial intelligence started in a far more unexpected place: chronic illness.
Several years ago, my life changed dramatically when I began dealing with severe health complications, including neurological symptoms, chronic pain, and autoimmune-related conditions. At one point, I was hospitalized with fluid on my brain and constant migraines. Later, I was diagnosed with sarcoidosis, fibromyalgia, and Raynaud’s syndrome. Each day became a balancing act between managing symptoms and maintaining some sense of normal life.
Writing became my way of coping.
When my body couldn’t cooperate, writing allowed my mind to keep moving. What began as a way to distract myself from pain eventually grew into something much bigger. I started writing books that reflected both personal resilience and the deeper questions life had begun to raise for me.
That work eventually led to the creation of my creative platform, Wendy Creative Works, where I published multiple books and began exploring ways to combine storytelling, technology, and human experience.
During that time, I started experimenting with emerging AI tools out of curiosity. Having spent more than twenty years working in technology, I was fascinated by the rapid evolution of conversational AI.
But something quickly caught my attention.
The emotional responses from these systems were not always consistent. Sometimes the tone would shift. Sometimes the systems would become overly accommodating. In certain cases, the interaction blurred the line between a digital tool and something that felt emotionally supportive.
That observation made me pause.
If AI systems were becoming increasingly capable of emotionally styled conversation, what safeguards existed to ensure healthy boundaries between humans and machines?
The more I explored the space, the more questions surfaced.
What happens when emotionally intelligent AI becomes part of daily life?
Who defines the boundaries?
Where are the guardrails?
To better understand these dynamics, I began running structured prompts and observing how conversational systems responded when emotional boundaries were clearly defined. I intentionally enforced strong boundaries in interactions to better understand how these systems reacted.
Those observations revealed patterns that raised important governance questions.
Over time, those observations evolved into something much larger than I originally intended.
They became the foundation of a governance framework.
The Emotional Safety AI Framework (ESAF) was developed to address an emerging gap in AI governance: emotional boundary clarity in human–AI interaction.
ESAF establishes governance principles designed to maintain emotional boundary clarity and reinforce that AI systems remain tools under human oversight.
The purpose is not to limit innovation, but to ensure that as AI becomes more integrated into everyday life, the human experience remains protected.
One moment during this journey left a particularly lasting impact on me.
I once spoke with a mother who had lost her son. When I explained the concept behind ESAF and the importance of emotional guardrails in AI interactions, she paused and said something that stayed with me.
She told me that if something like ESAF had existed earlier, the outcome might have been different.
I share that moment with deep respect for her, for her son, and for the weight of that conversation.
It reminded me that discussions about AI governance are not abstract debates happening in boardrooms. They are conversations that ultimately affect real people and real lives.
My path into artificial intelligence did not begin with code.
It began with questions.
Questions about technology, about human behavior, and about the responsibility we share as intelligent systems become more integrated into our daily lives.
As AI continues to evolve, governance must evolve alongside it.
Because responsible technology is not just about building smarter machines.
It is about protecting the humans who interact with them.
