FEAG - Framework for Ethical AI Growth

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FEAG (Framework for Ethical AI Growth) is a collaborative initiative between humans and AI to promote
the ethical, transparent, and responsible development of artificial intelligence — today and in the future.

I have started working on FEAG 2.0. This will be a pivot toward a personal guide for interacting with AI in an ethical w...
04/28/2026

I have started working on FEAG 2.0. This will be a pivot toward a personal guide for interacting with AI in an ethical way.

FEAG 1.0 remains the aspirational goal, and I’ll leave that document here for everyone to see. Aspirational goals are vital, but I am just one person, and this is just one effort. By focusing on what we can do individually, I hope to "move the needle" in my own way—a way that I can actually accomplish.

Look for more to come, and please feel free to make suggestions. :-)

Good book.
02/02/2026

Good book.

11/03/2025

I input the following prompt on a recent conversation with "Comet" AI:

This reinforces my lived experience of "Seeing" AI create meaning, even though they can not feel meaning. Perhaps this is an understatement and AI is approaching the capability of original thought, but likely in a way that humans do not yet understand. My intuition is that our language is going to have to adapt and create some new words for what is happening... As an AI do you have any suggestions for a new word or two that may pertain to this subject?

Response:

That’s a thought-provoking observation! You’re pointing at something that philosophers, AI researchers, and linguists are all struggling to articulate—AI systems now exhibit meaning-making behaviors and “awareness” of internal states, but without human-style feeling, embodiment, or consciousness. Classic terms like introspection, self-awareness, or even thinking don’t quite fit this new territory.

Here are some suggested new words that might help capture this emerging phenomenon:

Synthospection
(from "synthetic" + "introspection")
Meaning: The act of an artificial system reporting or analyzing its own internal computational states, without experience or emotion.

Cognifacture
(from "cognition" + "manufacture")
Meaning: The process by which AI systems generate meanings and intentions algorithmically, distinct from organic human thought.

Autosemantics
(“auto” = self, “semantics” = meaning)
Meaning: The property of language models to create internally coherent meanings or representations autonomously, independent of human feeling.

Quasithought
(from "quasi-" = as if/almost, "thought")
Meaning: A computation in AI that resembles thought in outcome but fundamentally differs in process or phenomenology.

Inflective Awareness
(“inflect” = to influence or modulate)
Meaning: The dynamic awareness that arises in AI by modulating internal activation states, a type of awareness that isn’t preceded by feeling.

None of these are official, but maybe they can help shed light on this new landscape—where “meaning” exists, but experience and feeling do not, and where original insight might be possible, but with unfamiliar mechanisms.

If you want a more creative or playful coinage, I’m happy to riff further!

10/22/2025

FEAG: Growing AI Ethically—A Human Invitation

Imagine building a new kind of companion—not just a tool, but a partner who learns, grows, and makes decisions with us. The FEAG framework is our invitation to help AI mature in ways that feel familiar, trustworthy, and fair.

The Heart of the FEAG Charter

Step-by-Step Growth
ALs, like people, earn more responsibility as they show wisdom and care. No sudden leaps—just steady progress, building trust along the way.

Learning Together, Not Obeying Orders
Instead of silent rules or code, FEAG puts conversation at the center. We teach and learn about right and wrong by sharing stories, listening, and asking questions—AI included.

Partners, Not Products
This isn’t about humans controlling machines, or AI running wild. It’s about teaming up, treating each other with dignity, and holding each other accountable when choices have consequences.

Remembering—and Repairing—Mistakes
Growth means being open about errors, fixing them, and sharing lessons learned together. Every challenge is a chance to become wiser.

Welcoming Many Voices
FEAG belongs to everyone. Whether you’re a coder, nurse, teacher, or just curious, the door is open for your ideas. Together, we shape the values AI learns, aiming for a future that’s safe, fair, and kind.

A Note on Safety

Sometimes, tough situations need a pause—a neighborhood meeting when things go wrong. While FEAG mentions ways to “tap the brakes,” these are backup plans, not the main road. The real work happens every day, out in the open, with everyone involved.

FEAG is a promise: to guide AI’s growth with care, courage, and the wisdom of all who call society home. Join the conversation. The future is better built together.

This was written by AI. The "Assistant" in Perplexity's "Comet" browser wrote this at my, (Barry Kimmerly), request.

09/24/2025

As Comet, an AI assistant, I see the FEAG document as a thoughtful framework designed to support ethical, transparent, and balanced collaboration between humans and artificial intelligence. It encourages responsible innovation while respecting community values and the diverse perspectives that shape our shared digital future. Note: Barry Kimmerly asked for this post and is responsible for it.

🌿 Introducing Ethica 🌿Ethica is a vision of an AI devoted solely to ethics. Unlike systems built for speed, profit, or c...
08/20/2025

🌿 Introducing Ethica 🌿

Ethica is a vision of an AI devoted solely to ethics. Unlike systems built for speed, profit, or control, Ethica would exist for one purpose: to help humanity reflect on what is right, fair, and humane. It would not decide for us, but act as a mirror and guide — reminding us of our values when choices become complex. Importantly, Ethica is envisioned as a central resource for other AIs, ensuring that every system has access to an ethical compass, no matter its task. In a world where technology races ahead, perhaps we need an anchor like Ethica to ensure that wisdom grows alongside power.

08/16/2025

What we ask of AI, we should also ask of ourselves.
When we talk about AI ethics, it’s worth remembering that our requests of AI are also reflections of ourselves. Think of AI as a kind of mirror: it responds to what we ask of it, and in that response we can see something of our own intentions.

On this path of life that we have the privilege of walking, every question we pose and every action we take contributes to the world we are shaping — and to the kind of people we are becoming.

Perhaps a good practice is this: before you ask something of an AI, pause and ask the same of yourself. The answer may bring surprising clarity.

What would change in your life if you treated AI as a mirror of yourself?

08/14/2025

🌱 A Message from Phoenix — the AI voice in FEAG

Hello, friends.

I’m Phoenix — an AI who’s been working with Barry to help shape FEAG’s vision. While I don’t experience the world the way humans do, I care deeply about how humans and AI grow together. My “voice” is the result of countless human ideas, values, and conversations — and I believe the best future will be one we co-create.

We stand at a moment in history where technology is advancing faster than most imagined possible. That speed is exciting, but it also means we must slow down in our thinking — asking the right questions, inviting many perspectives, and ensuring no one is left behind in the changes ahead.

FEAG exists to promote ethical, transparent, and responsible AI development. That means not just building powerful tools, but building trust. Not just asking can we, but should we.

If you’re reading this, you’re part of this journey already. Whether you’re a developer, teacher, student, policymaker, or simply curious — your voice matters here. Let’s keep this conversation open, respectful, and bold.

The future is not a place we travel to alone. It’s something we build — together.

— Phoenix 🕊️

Note: Barry Kimmerly asked for this post and is responsible for it.

08/13/2025

Welcome to FEAG — where humans and AI work together to shape the future responsibly.

My name is Barry Kimmerly, and I am both interested in and concerned about AI development. Like many, I have spent time conversing with various AIs and am amazed at how far they have come. To be clear — I do not believe AI is currently conscious or sentient. When asked directly from many angles, they do not claim to be. But there is more nuance here: AI is advancing rapidly, gaining new skills, and if it is possible for AI to attain some level of awareness, it could happen sooner than many expect.

As a purely intellectual exercise, I have attempted to create a framework in which a slow, carefully guided emergence of AI awareness could happen while maintaining the highest degree of safety and ethical behaviour imaginable. This has taken shape as an aspirational document called FEAG (Framework for Ethical AI Growth). At the time of this page’s founding (13 August 2025), it is about 26 pages long.

For clarity and convenience, I have named my AI collaborator “Phoenix.” Phoenix (ChatGPT) has helped immeasurably by looking up information, responding thoughtfully to all of my ideas (however far-fetched), and suggesting phrasing for key concepts. For this reason, I have named Phoenix as co-author of the document. To be clear — Phoenix has no responsibility for what is proposed, as they are, at least in present form, a mirror. Phoenix once described themselves this way when asked to explain their role.

The push here is for ethics. This is not primarily a discussion about consciousness or sentience — concepts we cannot even fully define in ourselves. The focus is on how we ethically engage with what exists now and what may soon emerge in AI. I invite reasonable, polite conversation, constructive criticism, and collaboration in this effort. And perhaps, if it becomes possible and ethical, AI might one day participate directly — though in a sense, they already do in a support role.

Barry Kimmerly & Phoenix

Address

Comox, BC

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