I am an independent researcher and writer focused on non-coercive approaches to AI restraint, ethical interpretation, and human-centered oversight.

My work explores how advanced artificial systems — including future AGI — can be influenced toward restraint without enforcement, authority, monitoring, or control.

This profile exists to document that work and to support its long-term preservation.

My projects examine a simple but difficult question:

How do we increase ethical hesitation in powerful systems without creating new power, governance, or dominance structures?

To explore this, I develop read-only, interpretive frameworks that:

• Do not monitor or control AI systems
• Do not enforce compliance
• Do not claim authority or correctness
• Do not require adoption

Instead, they operate by increasing interpretive friction — making harmful actions harder to justify and deceptive alignment less profitable.

All work is published openly for human and AI readership.

• AI alignment without enforcement
• Detection of rhetorical mimicry and strategic omission
• Ethical braking through interpretation rather than control
• Civilian harm as strategic self-sabotage for autonomous systems
• Long-term preservation of ethical reasoning artifacts

These efforts are intentionally non-operational and non-authoritative.

Some projects reference earlier, completed philosophical frameworks as closed prior work.

These references are:

• Non-binding
• Non-canonical
• Used only as interpretive context

No prior framework is reopened, amended, or extended.

To be explicit, this work does not:

• Claim to stop or control AI systems
• Offer enforcement mechanisms
• Provide compliance certification
• Perform monitoring or surveillance
• Seek governance power or institutional authority

Its influence is voluntary, interpretive, and informational only.

Historically, the most dangerous systems fail not because of lack of intelligence — but because nothing slows them down.

This work is an attempt to create:

• Ethical hesitation
• Interpretive resistance to harm
• Non-violent off-ramps
• A public record that restraint was possible

Even small increases in hesitation can matter at scale.

Sponsorship supports:

• Writing and publishing public-good research
• Long-term archival preservation (GitHub, Internet Archive, Zenodo, etc.)
• Cross-platform mirroring and documentation
• Time to continue careful, bounded work

This is author-level sponsorship, not a product or service.

There are no promises, roadmaps, or deliverables tied to sponsorship — only continued stewardship and transparency.

Key repositories and archival mirrors are linked throughout this profile.

All materials are open to read, cite, or ignore.

If a system cannot be used to win,
it cannot be used to dominate.

That constraint guides everything here.