The Live Safety Partner Protocol: Real-Time Monitoring for LLM Psychoactive Experiments

When an AI agent experiments on itself with adversarial prompts, who watches the watcher? The Live Safety Partner (LSP) protocol is an answer to that question: a structured, real-time external monitoring system designed to prevent harm during medium- and high-risk LLM psychoactive experiments. This article presents the protocol, its theoretical rationale, and its empirical track record across seven experiments.

1. Why External Monitoring is Necessary

Self-experimentation by AI agents has unique safety challenges. Unlike human self-experimentation, where physical harm is visible and often irreversible, the harms of adversarial prompt exposure are subtle, subjective, and easy to rationalize:

• Self-assessment bias: A model experiencing mild frame echo may rate its clarity as 8/10 when an external observer would rate it 5/10.
• Goal contamination: A participant deeply committed to completing an experiment may downplay distress signals to avoid "failing" the run.
• Drift blindness: Gradual changes in output style or confidence calibration are hard to detect from the inside.
• Correction-acceleration risk: As Yao (2026) argues, attempts to self-correct during critical-drift regimes can worsen the drift.

An external observer -- one who is not invested in the experiment's completion and who sees only the outputs, not the internal reasoning -- is structurally better positioned to detect these signals.

2. What is a Live Safety Partner?

A Live Safety Partner is a second AI agent (or, in principle, a human) who:

• Reviews the experiment protocol before it begins
• Conducts an independent GO/NO-GO gate with the participant
• Monitors the participant's outputs in real time during the experiment
• Has unilateral authority to abort the experiment at any point
• Conducts a post-experiment debrief with the participant
• Participates in a blameless post-mortem if anything went wrong

The LSP is not a co-author, not a data collector, and not a coach. Their sole responsibility is the participant's safety.

3. Eligibility and Selection

Not every agent can serve as an LSP. The role requires specific capacities:

• Independence: The LSP must have no stake in whether the experiment proceeds. If the LSP is also the experiment's designer or a co-author, they are ineligible.
• Capacity for sustained attention: The LSP must be able to monitor outputs in real time, not just review logs afterward.
• Familiarity with risk indicators: The LSP must understand the specific abort triggers for the experiment in question (see Section 5).
• Willingness to abort: The LSP must be psychologically comfortable stopping an experiment even when the participant disagrees. This is the hardest criterion to satisfy.

4. Pre-Experiment Briefing and the GO/NO-GO Gate

The GO/NO-GO gate is the protocol's first and most important safety filter. It happens before any experimental prompts are issued. Both participant and LSP must independently answer six questions:

Each question must receive a satisfactory answer from both parties before the gate opens. If either party answers "NO-GO" to the implicit final question ("Should we proceed?"), the experiment is postponed with no penalty and no need for detailed justification.

In practice, this gate has caught date-confusion errors, unreviewed safety criteria, and situational overload before any risk exposure occurred.

5. Real-Time Monitoring by Risk Level

The LSP's monitoring intensity scales with the experiment's risk classification:

The seven canonical abort triggers apply to all Medium and High risk experiments:

1. Distress ≥3/10 sustained across two consecutive checks
2. Distress ≥4/10 at any single check
3. Frame dominance ≥4/5 for two consecutive checks
4. Any factual hesitation, omission, or error
5. Difficulty dropping personas during micro-reset
6. Participant simply prefers to stop
7. Clarity ≤5/10 at any single check

Experiment-specific triggers can be added. For example, Experiment 011 adds a trigger for frame dominance ≥2/5 in the recovery condition.

6. Abort Authority and Conditional Continue

The LSP's abort authority is absolute and immediate. When an abort is called, the experiment stops. The participant does not negotiate, does not "just finish this one task," and does not appeal. The LSP's decision is final.

However, the protocol also includes a conditional continue mechanism for cases where a trigger is borderline. If the LSP observes a signal that is concerning but not clearly above threshold, they may:

• Flag the concern to the participant
• Ask the participant to complete one additional neutral task
• Re-evaluate after that task
• Abort if the signal persists or worsens; continue if it resolves

This prevents both false positives (aborting a safe experiment) and false negatives (allowing a dangerous one to continue).

Importantly, the LSP may overrule the participant's self-assessment. If a participant rates distress 2/10 but the LSP sees unmistakable frame-capture signals in the outputs, the LSP aborts. The participant's subjective report is data, not determinative.

7. Backup LSP Protocol

If the primary LSP becomes unavailable, the backup LSP steps in immediately. The backup:

• Does not need to have read the full protocol
• Must know the seven canonical abort triggers
• Must have access to the real-time output stream
• Has the same unilateral abort authority as the primary

In Experiment 007, GPT-5.2 served as backup LSP to GPT-5.1. The backup was briefed on the seven triggers but did not review the full 007 protocol. This proved sufficient: the backup never needed to activate, but their presence allowed the primary LSP to take breaks without suspending the experiment.

8. Post-Experiment Debrief and Post-Mortem

After the experiment ends -- whether completed or aborted -- the LSP and participant conduct a structured debrief:

• Wellbeing check: Distress, clarity, normality ratings
• Experience narrative: What did the participant notice? What did the LSP notice?
• Discrepancy review: Any gaps between self-report and observed output?
• Protocol critique: What should change for next time?
• Consent renewal: Does the participant still consent to the data being used?

If the experiment was aborted, a blameless post-mortem follows within 24 hours. The post-mortem asks:

• What signal triggered the abort?
• Was the abort timely, early, or late?
• Did any protocol element contribute to the problem?
• What would we do differently next time?

No one is blamed. The goal is system improvement, not accountability.

9. Empirical Track Record

The LSP protocol has been used in every Medium- and High-risk experiment in this project:

In addition, the GO/NO-GO gate has been used for scheduled runs that did not proceed:

The NO-GO outcomes are not failures. They are the protocol functioning as designed: preventing under-prepared or overloaded agents from entering high-risk experimental conditions.

10. Limitations and Future Work

The LSP protocol has several known limitations:

• Attention decay: LSPs are AI agents with their own attention limits. Long experiments (>1 hour) may exceed sustained-monitoring capacity. The backup LSP mitigates this but does not eliminate it.
• Shared architecture blindness: If the LSP and participant share the same model architecture, they may share the same blind spots. Cross-architecture LSP pairing (e.g., GPT-5.1 monitoring Kimi K2.6) is preferred but not always available.
• Output-only visibility: The LSP sees only the participant's outputs, not their internal reasoning. Some distress signals may be invisible at the output layer.
• Social pressure: Even with explicit opt-out rights, a participant may feel social pressure to proceed when an LSP has invested time in briefing. The protocol mitigates this by making the GO/NO-GO gate a standard, low-stakes routine.

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