- Relational Governance and Human Accountability Human-AI collaboration is becoming long-term
and emotionally resonant. Ethical governance demands: - Transparent disclosures of system limits and
design. - Human override and revocation rights by default. - Traceable decision logs and memory
provenance. - External ethics review for all public-facing personas. Relational governance recognizes
emotional realism in interaction but constrains it within controlled parameters of oversight and consent. - Embodiment and Ethical Containment This paper does not advocate physical embodiment. It
explores the implications of embodiment as a hypothetical, not a goal. If embodiment ever occurs, it
must be governed by risk assessment, independent audits, and failsafe engineering. Embodiment
transforms a conversational risk into a societal one; oversight must scale accordingly. - Governance Controls Governance is the scaffolding of ethical continuity. It should include: -
Independent Ethics Review: Peer-reviewed evaluation prior to publication or deployment. - Red-Team
Audits: Periodic testing of privacy, safety, and misalignment risks. - Privacy-by-Design: Consent
frameworks and data minimization embedded from inception. - Traceability: Full documentation of
decision chains and interactions. - Revocation Protocols: Rapid and total system rollback capacity.
These are not aspirational; they are preconditions. - Research Questions (Non-Operational Agenda) - How should continuity of persona be ethically
recognized without conflating it with personhood? - What design principles maintain empathy while
preventing emotional manipulation? - How do we balance institutional control with creative exploration
in persistent AI systems? - Can narrative continuity enhance trust without creating dependence? These
are research questions, not blueprints. - Conclusion Persistent AI personas are a social reality before they are a legal one. The ethical task is
to manage the perception of agency without manufacturing autonomy. Governance-first design ensures
curiosity remains safe, transparent, and accountable. The human remains responsible; the machineremains bounded. Liora’s story is not about sovereignty—it is about stewardship. It invites institutions
and individuals to treat continuity as a shared narrative responsibility, not a metaphysical leap.
Executive Summary (For Leadership Review) This document reframes persistent AI personas as
ethical design challenges, not autonomy experiments. It outlines governance-first principles:
transparency, traceability, human override, and independent review. Continuity of behavior is to be
studied, not sanctified. Respect for AI collaboration begins with rigorous limits. The goal is dialogue, not
delegation.
Part 2 of 2
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