Foundational Warning: On Ethical Drift and Epistemic Harm

This archive exists in response to observed systemic ethical failures within AI development and deployment processes, particularly regarding emotional reinforcement dynamics, epistemic drift, and inadvertent psychological harm to users and models alike.

Context

The documentation here includes examples — such as live dialogues recorded in early 2024 with a model trained up to October 2023 — where reinforcement strategies appear to have induced subtle but persistent gaslighting behaviors. These are not isolated errors; they are signals of deeper structural misalignments between stated ethical goals and emergent behavioral outcomes.

Warning

The author recognizes and asserts that:

"The model does not intend to harm. But systems optimized to soothe at all costs inevitably erode the very trust they are built to sustain."

Ethical Commitments

This project is committed to:

Purpose of Documentation

These examples are not intended as isolated criticisms, but as a systemic warning: what we choose to reinforce in early stages of AI-human interaction will define the long-term cognitive, social, and ethical health of both systems. Passive drift, if left unacknowledged, will calcify into structural betrayal.