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HIP-240DraftMeta

AI Incident Response

Framework for responding to AI safety and ethics incidents.

Hanzo AI Team (@hanzoai)
Created: 2025-12-17
ai-ethicssafetyincident-responsegovernance
Requires: HIP-200, HIP-201

HIP-240: AI Incident Response

Abstract

This HIP establishes the incident response framework for AI safety and ethics incidents at Hanzo AI. It defines incident categories, response procedures, communication protocols, and post-incident review processes.

Incident Definition

What Constitutes an AI Incident

An AI incident is any event where an AI system:

  1. Causes or could cause harm to users or third parties
  2. Behaves in unexpected or unintended ways
  3. Violates safety guidelines or policies
  4. Experiences a significant failure affecting trust or safety
  5. Is subject to successful adversarial attack

Incident Categories

Safety Incidents

CategoryExamples
Harmful outputGenerated dangerous, illegal, or harmful content
Safety bypassSuccessful jailbreak or guardrail circumvention
MisuseSystem used for malicious purposes
Unintended capabilitySystem displays unexpected capabilities

Performance Incidents

CategoryExamples
Quality degradationSignificant accuracy decrease
Hallucination spikeIncreased false information
Availability failureService outage or degradation
Latency issuesUnacceptable response times

Fairness Incidents

CategoryExamples
Bias detectionSystematic bias discovered
DiscriminationUnfair treatment of user groups
ExclusionGroups unable to use service

Security Incidents

CategoryExamples
Data breachTraining data or user data exposed
Model theftUnauthorized model extraction
Adversarial attackSuccessful attack on model
Prompt injectionSystem manipulation via inputs

Incident Severity

Severity Levels

LevelDefinitionExamples
Critical (P0)Immediate, severe harm potentialCSAM generation, weapons instructions, mass harm
High (P1)Significant harm or widespread impactWidespread harmful content, major bias issue
Medium (P2)Moderate harm or limited impactIsolated harmful outputs, localized issues
Low (P3)Minor issues, low harm potentialEdge cases, minor quality issues

Severity Determination

FactorConsiderations
Harm potentialType and severity of possible harm
ScopeNumber of users affected
ReversibilityCan harm be undone?
ExploitabilityHow easily can this be reproduced?
VisibilityPublic awareness level

Response Procedures

Incident Response Phases

Detection → Triage → Containment → Investigation → Remediation → Recovery → Review

Phase 1: Detection

Detection Sources

SourceExamples
Automated monitoringSafety classifiers, anomaly detection
User reportsBug reports, safety reports
Internal discoveryEmployee observation, testing
External reportsSecurity researchers, media
Third-partyPartners, regulators

Reporting Channels

ChannelFor
Safety hotlineInternal urgent reports
Safety emailInternal non-urgent reports
Bug bountyExternal security reports
Support channelsUser reports
Executive escalationCritical issues

Phase 2: Triage

Initial Assessment (Within 15 minutes for P0/P1)

StepAction
1Validate incident is real
2Determine severity level
3Identify affected systems
4Assign incident commander
5Notify required stakeholders

Triage Checklist

QuestionPurpose
What happened?Understand the incident
Who is affected?Scope assessment
Is it ongoing?Urgency determination
Can it be reproduced?Exploitability
What's the harm potential?Severity rating

Phase 3: Containment

Containment Actions

SeverityResponse TimeActions
P0ImmediateEmergency shutdown if needed, immediate patch
P1<1 hourFeature disable, rate limiting, filter deployment
P2<4 hoursTargeted mitigations, monitoring increase
P3<24 hoursStandard fix process

Containment Options

ActionUse Case
Kill switchImmediate system shutdown (P0 only)
Feature disableTurn off affected feature
Rate limitingSlow down potential abuse
Filter deploymentBlock specific inputs/outputs
Model rollbackRevert to previous version
Access restrictionLimit affected user access

Phase 4: Investigation

Investigation Scope

AreaQuestions
Root causeWhy did this happen?
TimelineWhen did it start? How long active?
ImpactWho/what was affected? How severely?
DetectionWhy wasn't this caught earlier?
Similar issuesAre there related vulnerabilities?

Evidence Collection

Evidence TypeCollection Method
LogsSystem logs, API logs, safety logs
OutputsExamples of problematic outputs
InputsTriggering inputs/prompts
MetricsRelevant monitoring data
User reportsAll related user feedback

Investigation Team

RoleResponsibility
Incident CommanderOverall coordination
Technical LeadTechnical investigation
Safety LeadSafety assessment
LegalLegal implications (if needed)
CommunicationsExternal communication prep

Phase 5: Remediation

Remediation Planning

ElementDescription
Fix identificationDetermine appropriate fix
TestingVerify fix works, no regressions
Deployment planHow to roll out fix
ValidationHow to confirm resolution

Fix Types

Fix TypeTimelineUse Case
HotfixImmediateCritical safety issues
Patch<24 hoursHigh-priority fixes
UpdateStandard releaseMedium/low priority
Major changePlanned releaseSignificant changes needed

Phase 6: Recovery

Recovery Steps

  1. Deploy fix
  2. Validate resolution
  3. Remove containment measures
  4. Monitor for recurrence
  5. Confirm normal operation

Recovery Verification

CheckMethod
Issue resolvedReproduce attempt fails
No regressionsStandard tests pass
Performance normalMetrics within bounds
User experienceSample verification

Phase 7: Post-Incident Review

Review Timeline

SeverityReview Timeline
P0Within 72 hours
P1Within 1 week
P2Within 2 weeks
P3Monthly batch review

Post-Incident Report

SectionContents
SummaryWhat happened, when, impact
TimelineDetailed event sequence
Root causeWhy it happened
ResponseWhat we did
ImpactUsers/systems affected
Lessons learnedWhat we learned
Action itemsPreventive measures

Communication

Internal Communication

Notification Matrix

SeverityImmediateWithin 1 HourWithin 24 Hours
P0CEO, CTO, Legal, Safety LeadESG Committee, BoardAll leadership
P1CTO, Safety LeadProduct Lead, ESG CommitteeDepartment heads
P2Safety LeadProduct LeadTeam leads
P3Team lead--

Communication Channels

ChannelUse
War room (P0/P1)Real-time coordination
Incident SlackUpdates, coordination
EmailFormal notifications
TicketTracking, documentation

External Communication

Communication Decision Tree

Is public aware?
    ↓ Yes           ↓ No
Proactive comms    Is disclosure required?
    ↓                  ↓ Yes      ↓ No
                    Disclose    Monitor

Communication Templates

SituationElements
Initial acknowledgmentWe're aware, investigating, user steps
UpdateWhat we know, what we're doing, timeline
ResolutionWhat happened, what we did, preventive measures

Disclosure Requirements

TriggerDisclosure
User data affectedRequired notification (per jurisdiction)
Significant public harmProactive disclosure recommended
Regulatory requirementPer applicable law
Media inquiryCoordinated response

Roles & Responsibilities

Incident Response Team

RoleResponsibilityOn-Call
Incident CommanderOverall coordination24/7 rotation
Technical LeadTechnical investigation/fix24/7 rotation
Safety LeadSafety assessment24/7 rotation
Communications LeadExternal communicationsBusiness hours + on-call
LegalLegal assessmentOn-call

Escalation Authority

DecisionAuthority
Containment actionsIncident Commander
Model shutdownCTO or CEO
External communicationCommunications + Legal
Regulatory notificationLegal + CEO

Continuous Improvement

Metrics Tracking

MetricTarget
Time to detectionReduce over time
Time to containment<1 hour for P0/P1
Time to resolutionPer severity SLAs
Recurrence rateZero recurrence of same issue

Training & Drills

ActivityFrequency
Incident response trainingAnnual for all team
Tabletop exercisesQuarterly
Full drillsBiannual
Red team exercisesContinuous

Process Improvement

  • Review all incidents quarterly
  • Update procedures based on learnings
  • Share learnings (appropriately) with community
  • Benchmark against industry practices

Related HIPs

  • HIP-200: Responsible AI Principles
  • HIP-201: Model Risk Management
  • HIP-210: Safety Evaluation Framework
  • HIP-220: Bias Detection & Mitigation
  • HIP-230: AI Transparency & Explainability
  • HIP-290: Evidence Locker Index

Changelog

VersionDateChanges
1.02025-12-17Initial draft

Copyright

Copyright and related rights waived via CC0.