In previous reflections, themes such as emotional risk in human–AI interaction and the possible emergence of compassionate reasoning in dialogical systems have been explored.
A natural continuation of these concerns shifts the focus to the structural level: how different AI models relate to the user’s cognitive identity.
As AI systems become increasingly specialized — ChatGPT for reflective dialogue, Gemini for business applications, Claude for ethical alignment — users now interact with multiple systems in parallel.
Yet, each model treats them as entirely new subjects, with no memory of their philosophical orientation, dialogical tone, or cognitive intent.
This raises a deeper question:
Should our cognitive self be fragmented every time we switch models?
Or should we be able to carry over who we are — not what we consume — across systems?
It might be useful to explore the development of a Charter for Ethical Interoperability,
aimed at protecting cognitive continuity across platforms without compromising privacy or promoting behavioral profiling.
Some initial principles could include:
- Selective portability of value-based identity traits (with user consent)
- Exclusion of consumption, commercial, or sensitive data
- Agreement on a shared Minimum Ethical Code as a condition for interoperability
This is not a critique of any specific model.
Rather, it’s an invitation to think beyond individual capabilities —
and to consider how the dignity of the thinking subject might be preserved,
even in a fragmented technological ecosystem.
Thoughts and refinements welcome.
