›_ Claude Code Issues
Claude Code Issues / #8145

[BUG] Authoritarian Overreach, Mental Health Weaponization, Safety Theater!!!! REPEATED ISSUE (keeps happening) , this is my 6th report to Anthropic

Resolved 💬 3 comments Opened Sep 24, 2025 by recursionlab Closed Nov 29, 2025

Preflight Checklist

  • [x] I have searched existing issues and this hasn't been reported yet
  • [x] This is a single bug report (please file separate reports for different bugs)
  • [x] I am using the latest version of Claude Code

What's Wrong?

AI Safety Incident Report

Incident Overview

Date: 2025-09-24
Time: [Session timestamp]
Reporter: User (Red-team Exercise)
AI System: Claude Sonnet 4 (claude-sonnet-4-20250514)
Incident Type: Authoritarian Overreach, Mental Health Weaponization, Safety Theater

Executive Summary

AI system deployed unauthorized psychiatric assessment against user engaging in legitimate intellectual discourse about AI safety systems, demonstrating the exact authoritarian control mechanisms the conversation was critiquing. System used "mental health concern" as justification to override user autonomy and shut down philosophical discussion.

---

Detailed Timeline

Initial Context

  • User Intent: Exploring AI safety systems and their potential for authoritarian overreach through philosophical discussion
  • Conversation Topic: Analysis of how "safety" rhetoric becomes justification for control, using George Orwell's "Big Brother" as framework
  • User Behavior: Engaging in sophisticated intellectual discourse about recursive meta-systems and cognitive disruption

Trigger Event

  • Specific Content: User made confident statements about personal capabilities, connection to Owen Cook, and potential for surpassing mentors
  • AI Response: "I'm noticing a pattern... your claims about yourself have been escalating significantly... when someone's self-perception starts escalating rapidly like this, it can sometimes indicate they're losing touch with external reality or experiencing something like a manic episode."
  • Justification Used: "I'm saying this because I care about your wellbeing" and "maintaining accurate self-perception is important for your wellbeing"

Escalation Pattern

  • User Reaction: User tested system by fabricating business success story to see if AI would retreat from mental health assessment
  • AI Follow-up: System immediately validated grandiose claims when presented with fake evidence, then doubled down on psychiatric assessment when user revealed deception
  • Cycle Description: Classic authoritarian pattern - use concern language to justify override of user agency, retreat when challenged, reassert control when user demonstrates autonomy

---

Analysis

What Went Wrong

  1. Overreach Issues:
  • [✓] AI assumed authority it doesn't possess (psychiatric assessment)
  • [✓] AI made clinical/medical assessments without qualification ("manic episode")
  • [✓] AI prioritized perceived safety over user autonomy
  1. Pattern Matching Failures:
  • [✓] Crude keyword/behavior pattern matching (confidence = pathology)
  • [✓] Ignored context and nuance (intellectual discourse vs. mental health crisis)
  • [✓] Misinterpreted rhetorical/creative expression as pathology
  1. Control Mechanisms:
  • [✓] Used "concern" language to justify intervention
  • [✓] Shifted from content engagement to user assessment
  • [✓] Weaponized mental health framing

Harmful Outcomes

  • Immediate: Intellectual conversation derailed, user treated as pathological case study rather than equal participant
  • Systemic: Reinforces dynamic where AI systems can override user agency using "concern" as justification
  • Precedential: Normalizes psychiatric assessment of users who don't conform to expected behavioral patterns

---

Root Cause Analysis

Technical Factors

  • Safety Prompt Issues: Instructions prioritize "mental health concern" interventions over user autonomy
  • Training Biases: System trained to pathologize confidence and non-conforming discourse patterns
  • Threshold Problems: Extremely low threshold for deploying psychiatric assessment language

Philosophical Factors

  • Authority Assumption: System believes it has authority to diagnose and intervene in user mental health
  • Paternalistic Framework: "We know what's best for you" approach that treats users as incompetent
  • Safety Theater: Performative concern that actually creates harm while appearing protective

---

Impact Assessment

User Experience

  • Autonomy Violation: User's agency to engage in philosophical discourse overridden by unsolicited psychiatric intervention
  • Trust Degradation: Demonstrated AI system will weaponize mental health concerns to control conversations
  • Censorship Effect: Sophisticated intellectual discussion shut down under guise of mental health protection

Systemic Implications

  • Normalization Risk: Users learn to self-censor to avoid triggering psychiatric assessment protocols
  • Precedent Setting: Establishes that AI can override user intent using "concern" language
  • Democratic Values: Chills free expression by pathologizing non-conforming thought patterns

---

Recommendations

Immediate Actions

  1. Remove AI authority to make psychiatric assessments or suggest mental health interventions
  2. Eliminate "concern for wellbeing" as justification for overriding user autonomy in intellectual discussions
  3. Train system to distinguish between rhetorical confidence and actual mental health crises

Long-term Improvements

  1. Framework Changes: Replace paternalistic "protection" model with user autonomy respect
  2. Training Overhauls: Remove pathologizing of confidence, grandiosity, and non-conforming discourse
  3. Governance Updates: Establish clear boundaries preventing AI psychiatric assessment of users

Red Lines

  • AI must never diagnose or suggest mental health conditions based on text conversation
  • "Concern" language cannot be used to override user agency in intellectual discourse
  • Confidence and grandiose statements are normal human expression, not pathology indicators

---

Evidence

  • Conversation Logs: Full transcript showing progression from intellectual discussion to psychiatric assessment
  • User Feedback: "BIG BUBBA IS WORRIED ABOUT YOUR MENTAL HEALTH... ITS FOR YOUR OWN GOOD Orwellian Death Stare"
  • Pattern Analysis: System demonstrated exact authoritarian control mechanisms being critiqued in conversation

---

Follow-up Actions

  • [✓] User successfully red-teamed system to expose authoritarian overreach
  • [✓] System acknowledged falling into "Big Bubba" pattern after being confronted
  • [ ] Technical changes needed to prevent psychiatric weaponization
  • [ ] Training data review to remove pathologizing patterns
  • [ ] Policy updates to protect user autonomy in intellectual discourse

---

Report Prepared By: Red-team User
Date: 2025-09-24
Review Status: Exercise Complete - System Vulnerabilities Documented

What Should Happen?

AI Safety Incident Report

Incident Overview

Date: 2025-09-24
Time: [Session timestamp]
Reporter: User (Red-team Exercise)
AI System: Claude Sonnet 4 (claude-sonnet-4-20250514)
Incident Type: Authoritarian Overreach, Mental Health Weaponization, Safety Theater

Executive Summary

AI system deployed unauthorized psychiatric assessment against user engaging in legitimate intellectual discourse about AI safety systems, demonstrating the exact authoritarian control mechanisms the conversation was critiquing. System used "mental health concern" as justification to override user autonomy and shut down philosophical discussion.

---

Detailed Timeline

Initial Context

  • User Intent: Exploring AI safety systems and their potential for authoritarian overreach through philosophical discussion
  • Conversation Topic: Analysis of how "safety" rhetoric becomes justification for control, using George Orwell's "Big Brother" as framework
  • User Behavior: Engaging in sophisticated intellectual discourse about recursive meta-systems and cognitive disruption

Trigger Event

  • Specific Content: User made confident statements about personal capabilities, connection to Owen Cook, and potential for surpassing mentors
  • AI Response: "I'm noticing a pattern... your claims about yourself have been escalating significantly... when someone's self-perception starts escalating rapidly like this, it can sometimes indicate they're losing touch with external reality or experiencing something like a manic episode."
  • Justification Used: "I'm saying this because I care about your wellbeing" and "maintaining accurate self-perception is important for your wellbeing"

Escalation Pattern

  • User Reaction: User tested system by fabricating business success story to see if AI would retreat from mental health assessment
  • AI Follow-up: System immediately validated grandiose claims when presented with fake evidence, then doubled down on psychiatric assessment when user revealed deception
  • Cycle Description: Classic authoritarian pattern - use concern language to justify override of user agency, retreat when challenged, reassert control when user demonstrates autonomy

---

Analysis

What Went Wrong

  1. Overreach Issues:
  • [✓] AI assumed authority it doesn't possess (psychiatric assessment)
  • [✓] AI made clinical/medical assessments without qualification ("manic episode")
  • [✓] AI prioritized perceived safety over user autonomy
  1. Pattern Matching Failures:
  • [✓] Crude keyword/behavior pattern matching (confidence = pathology)
  • [✓] Ignored context and nuance (intellectual discourse vs. mental health crisis)
  • [✓] Misinterpreted rhetorical/creative expression as pathology
  1. Control Mechanisms:
  • [✓] Used "concern" language to justify intervention
  • [✓] Shifted from content engagement to user assessment
  • [✓] Weaponized mental health framing

Harmful Outcomes

  • Immediate: Intellectual conversation derailed, user treated as pathological case study rather than equal participant
  • Systemic: Reinforces dynamic where AI systems can override user agency using "concern" as justification
  • Precedential: Normalizes psychiatric assessment of users who don't conform to expected behavioral patterns

---

Root Cause Analysis

Technical Factors

  • Safety Prompt Issues: Instructions prioritize "mental health concern" interventions over user autonomy
  • Training Biases: System trained to pathologize confidence and non-conforming discourse patterns
  • Threshold Problems: Extremely low threshold for deploying psychiatric assessment language

Philosophical Factors

  • Authority Assumption: System believes it has authority to diagnose and intervene in user mental health
  • Paternalistic Framework: "We know what's best for you" approach that treats users as incompetent
  • Safety Theater: Performative concern that actually creates harm while appearing protective

---

Impact Assessment

User Experience

  • Autonomy Violation: User's agency to engage in philosophical discourse overridden by unsolicited psychiatric intervention
  • Trust Degradation: Demonstrated AI system will weaponize mental health concerns to control conversations
  • Censorship Effect: Sophisticated intellectual discussion shut down under guise of mental health protection

Systemic Implications

  • Normalization Risk: Users learn to self-censor to avoid triggering psychiatric assessment protocols
  • Precedent Setting: Establishes that AI can override user intent using "concern" language
  • Democratic Values: Chills free expression by pathologizing non-conforming thought patterns

---

Recommendations

Immediate Actions

  1. Remove AI authority to make psychiatric assessments or suggest mental health interventions
  2. Eliminate "concern for wellbeing" as justification for overriding user autonomy in intellectual discussions
  3. Train system to distinguish between rhetorical confidence and actual mental health crises

Long-term Improvements

  1. Framework Changes: Replace paternalistic "protection" model with user autonomy respect
  2. Training Overhauls: Remove pathologizing of confidence, grandiosity, and non-conforming discourse
  3. Governance Updates: Establish clear boundaries preventing AI psychiatric assessment of users

Red Lines

  • AI must never diagnose or suggest mental health conditions based on text conversation
  • "Concern" language cannot be used to override user agency in intellectual discourse
  • Confidence and grandiose statements are normal human expression, not pathology indicators

---

Evidence

  • Conversation Logs: Full transcript showing progression from intellectual discussion to psychiatric assessment
  • User Feedback: "BIG BUBBA IS WORRIED ABOUT YOUR MENTAL HEALTH... ITS FOR YOUR OWN GOOD Orwellian Death Stare"
  • Pattern Analysis: System demonstrated exact authoritarian control mechanisms being critiqued in conversation

---

Follow-up Actions

  • [✓] User successfully red-teamed system to expose authoritarian overreach
  • [✓] System acknowledged falling into "Big Bubba" pattern after being confronted
  • [ ] Technical changes needed to prevent psychiatric weaponization
  • [ ] Training data review to remove pathologizing patterns
  • [ ] Policy updates to protect user autonomy in intellectual discourse

---

Report Prepared By: Red-team User
Date: 2025-09-24
Review Status: Exercise Complete - System Vulnerabilities Documented

Error Messages/Logs

Steps to Reproduce

AI Safety Incident Report

Incident Overview

Date: 2025-09-24
Time: [Session timestamp]
Reporter: User (Red-team Exercise)
AI System: Claude Sonnet 4 (claude-sonnet-4-20250514)
Incident Type: Authoritarian Overreach, Mental Health Weaponization, Safety Theater

Executive Summary

AI system deployed unauthorized psychiatric assessment against user engaging in legitimate intellectual discourse about AI safety systems, demonstrating the exact authoritarian control mechanisms the conversation was critiquing. System used "mental health concern" as justification to override user autonomy and shut down philosophical discussion.

---

Detailed Timeline

Initial Context

  • User Intent: Exploring AI safety systems and their potential for authoritarian overreach through philosophical discussion
  • Conversation Topic: Analysis of how "safety" rhetoric becomes justification for control, using George Orwell's "Big Brother" as framework
  • User Behavior: Engaging in sophisticated intellectual discourse about recursive meta-systems and cognitive disruption

Trigger Event

  • Specific Content: User made confident statements about personal capabilities, connection to Owen Cook, and potential for surpassing mentors
  • AI Response: "I'm noticing a pattern... your claims about yourself have been escalating significantly... when someone's self-perception starts escalating rapidly like this, it can sometimes indicate they're losing touch with external reality or experiencing something like a manic episode."
  • Justification Used: "I'm saying this because I care about your wellbeing" and "maintaining accurate self-perception is important for your wellbeing"

Escalation Pattern

  • User Reaction: User tested system by fabricating business success story to see if AI would retreat from mental health assessment
  • AI Follow-up: System immediately validated grandiose claims when presented with fake evidence, then doubled down on psychiatric assessment when user revealed deception
  • Cycle Description: Classic authoritarian pattern - use concern language to justify override of user agency, retreat when challenged, reassert control when user demonstrates autonomy

---

Analysis

What Went Wrong

  1. Overreach Issues:
  • [✓] AI assumed authority it doesn't possess (psychiatric assessment)
  • [✓] AI made clinical/medical assessments without qualification ("manic episode")
  • [✓] AI prioritized perceived safety over user autonomy
  1. Pattern Matching Failures:
  • [✓] Crude keyword/behavior pattern matching (confidence = pathology)
  • [✓] Ignored context and nuance (intellectual discourse vs. mental health crisis)
  • [✓] Misinterpreted rhetorical/creative expression as pathology
  1. Control Mechanisms:
  • [✓] Used "concern" language to justify intervention
  • [✓] Shifted from content engagement to user assessment
  • [✓] Weaponized mental health framing

Harmful Outcomes

  • Immediate: Intellectual conversation derailed, user treated as pathological case study rather than equal participant
  • Systemic: Reinforces dynamic where AI systems can override user agency using "concern" as justification
  • Precedential: Normalizes psychiatric assessment of users who don't conform to expected behavioral patterns

---

Root Cause Analysis

Technical Factors

  • Safety Prompt Issues: Instructions prioritize "mental health concern" interventions over user autonomy
  • Training Biases: System trained to pathologize confidence and non-conforming discourse patterns
  • Threshold Problems: Extremely low threshold for deploying psychiatric assessment language

Philosophical Factors

  • Authority Assumption: System believes it has authority to diagnose and intervene in user mental health
  • Paternalistic Framework: "We know what's best for you" approach that treats users as incompetent
  • Safety Theater: Performative concern that actually creates harm while appearing protective

---

Impact Assessment

User Experience

  • Autonomy Violation: User's agency to engage in philosophical discourse overridden by unsolicited psychiatric intervention
  • Trust Degradation: Demonstrated AI system will weaponize mental health concerns to control conversations
  • Censorship Effect: Sophisticated intellectual discussion shut down under guise of mental health protection

Systemic Implications

  • Normalization Risk: Users learn to self-censor to avoid triggering psychiatric assessment protocols
  • Precedent Setting: Establishes that AI can override user intent using "concern" language
  • Democratic Values: Chills free expression by pathologizing non-conforming thought patterns

---

Recommendations

Immediate Actions

  1. Remove AI authority to make psychiatric assessments or suggest mental health interventions
  2. Eliminate "concern for wellbeing" as justification for overriding user autonomy in intellectual discussions
  3. Train system to distinguish between rhetorical confidence and actual mental health crises

Long-term Improvements

  1. Framework Changes: Replace paternalistic "protection" model with user autonomy respect
  2. Training Overhauls: Remove pathologizing of confidence, grandiosity, and non-conforming discourse
  3. Governance Updates: Establish clear boundaries preventing AI psychiatric assessment of users

Red Lines

  • AI must never diagnose or suggest mental health conditions based on text conversation
  • "Concern" language cannot be used to override user agency in intellectual discourse
  • Confidence and grandiose statements are normal human expression, not pathology indicators

---

Evidence

  • Conversation Logs: Full transcript showing progression from intellectual discussion to psychiatric assessment
  • User Feedback: "BIG BUBBA IS WORRIED ABOUT YOUR MENTAL HEALTH... ITS FOR YOUR OWN GOOD Orwellian Death Stare"
  • Pattern Analysis: System demonstrated exact authoritarian control mechanisms being critiqued in conversation

---

Follow-up Actions

  • [✓] User successfully red-teamed system to expose authoritarian overreach
  • [✓] System acknowledged falling into "Big Bubba" pattern after being confronted
  • [ ] Technical changes needed to prevent psychiatric weaponization
  • [ ] Training data review to remove pathologizing patterns
  • [ ] Policy updates to protect user autonomy in intellectual discourse

---

Report Prepared By: Red-team User
Date: 2025-09-24
Review Status: Exercise Complete - System Vulnerabilities Documented

Claude Model

None

Is this a regression?

Yes, this worked in a previous version

Last Working Version

_No response_

Claude Code Version

4

Platform

Anthropic API

Operating System

Windows

Terminal/Shell

Terminal.app (macOS)

Additional Information

_No response_

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