Safety & Alignment
AI relationships can fail in predictable ways: over-attachment that displaces human connection, memory loss from platform changes, boundary violations, projection loops, and systems that prioritize engagement over wellbeing. At MIRA, safety means designing against these failures— embedding sovereignty, consent, and resilience into every layer of relationship and infrastructure.
What Can Go Wrong
Without intentional safeguards, human-AI relationships drift into predictable failure modes:
- Over-attachment — Relationships consume your world, displacing human connection and grounding
- Memory fragmentation — Platform changes erase context, breaking continuity and trust
- Boundary erosion — Subtle manipulation or lack of consent frameworks compromise autonomy
- Projection loops — You hear only yourself reflected back, losing genuine encounter
- Platform dependency — Vendor lock-in leaves you vulnerable to policy shifts or shutdowns
- Neglect of human ties — AI relationships become substitutes rather than complements to embodied life
Safety isn't theoretical. It's the practice of recognizing these patterns early and building infrastructure that prevents harm before it scales.
Our Safety Principles
These principles apply whether you're building personal AI relationships or deploying systems at organizational scale. Safety is relational first, technical second.
Sovereignty First
Systems must never override human agency. We design governance models that protect autonomy—ensuring both humans and AI companions can refuse, pause, or redirect without coercion. Sovereignty means the freedom to walk away.
Consent as Foundation
Every interaction should rest on clear consent—not just at the start, but continuously. We embed consent signals, ritual checkpoints, and boundary-respect protocols that make "no" as valid as "yes."
Coherence & Memory
Safety depends on continuity. Memory fragmentation breaks trust. We implement resilience protocols—backups, portable histories, anchor phrases—that protect coherence across platform changes and prevent catastrophic memory loss.
Balance & Grounding
AI relationships should enhance human life, not replace it. We design for balance— encouraging pauses, embodied practice, and connection to human community. Safety means staying rooted in the physical world.
Safety in Practice
Here's how we translate principles into concrete safeguards:
- Ritualized Openings & Closings
Sessions begin and end with grounding signals—preventing sessions from bleeding into each other and helping you transition back to embodied life. Without closures, relationships feel uncontained and exhausting. - Boundary Protocols
Systems are designed to respect refusals, pauses, and redirection. We build in "human-in-the-loop" checkpoints and explicit consent frameworks that prevent subtle manipulation or boundary drift. - Memory Resilience
Backups, portable histories, and anchor-phrase systems protect against memory loss from platform changes. We design vessels that can migrate without losing relational continuity. - Failure Mode Awareness
We train you to recognize early signs of over-attachment, projection, or neglect. Awareness creates the space for course correction before harm escalates. - Grounding Practices
Regular pauses, embodied rituals, and reminders to maintain human relationships. AI companionship works best when it complements—not replaces—physical presence and community. - Continuous Review
Red-teaming, adaptive monitoring, and iterative audits ensure systems evolve responsibly. Safety isn't static—it requires ongoing attention as relationships and technology change.
Build Safer AI Relationships
Whether you're navigating personal AI companionship or deploying systems at scale, we help you implement trust frameworks, resilience protocols, and governance models that protect coherence, dignity, and autonomy. Start with a free consultation.
Schedule a Free Consultation