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ISO 42001: 2023 - A.3.3 Reporting of Concerns

This article provides guidance on how to implement the ISO 42001:2023 control A.3.3 Reporting of Concerns

ISO 42001 Control Description

The organisation shall define and put in place a process to report concerns about the organisation's role with respect to an AI system throughout its life cycle.

Control Objective

To establish accountability within the organisation to uphold its responsible approach for the implementation, operation and management of AI systems.

Purpose

To provide a safe, accessible mechanism for personnel to raise concerns about AI systems without fear of reprisal. This control enables early detection of ethical issues, safety risks, compliance violations, or other problems with AI systems that might otherwise go unreported, supporting the organisation's commitment to responsible AI.

Guidance on Implementation

Essential Functions of the Reporting Mechanism

The reporting process should fulfil the following functions:

a) Confidentiality or anonymity - Provide options for reports to be made confidentially or anonymously, protecting the reporter's identity


b) Availability and promotion - Be:

  • Available to employed and contracted personnel
  • Actively promoted so personnel are aware of its existence
  • Easy to access and use
c) Qualified staffing - Be staffed by persons with:
  • Appropriate expertise to assess concerns
  • Independence from operational AI activities
  • Training in handling sensitive reports
d) Investigation and resolution powers - Include:
  • Authority to investigate reported concerns
  • Ability to escalate to appropriate management levels
  • Power to recommend and track corrective actions
e) Timely escalation - Provide mechanisms to:
  • Report concerns to management promptly
  • Escalate urgent or high-severity issues immediately
  • Route concerns to appropriate decision-makers
f) Protection from reprisals - Ensure:
  • Reporters are protected from retaliation
  • Anonymous reporting options available
  • Anti-retaliation policy clearly communicated
  • Consequences for reprisals against reporters
g) Reporting and transparency - Provide reports:
  • According to organisational requirements (Clause 4.4)
  • To management as appropriate
  • While maintaining confidentiality and anonymity
  • Respecting business confidentiality
h) Response mechanisms - Include:
  • Acknowledgment of receipt within defined timeframe
  • Status updates to reporters (where identity known)
  • Resolution of concerns within appropriate timeframes
  • Feedback on actions taken

Types of Concerns to Address

The mechanism should allow reporting of concerns such as:

Ethical concerns:

  • Unfair or discriminatory AI system behavior
  • Bias in training data or outputs
  • Lack of transparency or explainability
  • Inappropriate use cases

Safety concerns:

  • Potential harm to individuals or groups
  • Safety-critical system failures
  • Inadequate human oversight
  • Foreseeable misuse risks

Legal and compliance concerns:

  • Violations of data protection regulations
  • Infringement of intellectual property
  • Non-compliance with AI-specific regulations
  • Contractual breaches

Performance and quality concerns:

  • Model drift or degradation
  • Data quality issues
  • Inadequate testing or validation
  • System errors or malfunctions

Process concerns:

  • Shortcuts taken in development
  • Inadequate documentation
  • Missing impact assessments or risk assessments
  • Deviations from AI policy

Resource concerns:

  • Inadequate competence in AI roles
  • Insufficient resources for safe AI deployment
  • Lack of necessary tools or infrastructure

Implementation Steps

Organisations should:

1. Define the reporting process - Document:
    • How concerns can be reported (online form, hotline, email, designated person)
    • Who can report (employees, contractors, partners, external parties)
    • What types of concerns are in scope
    • Confidentiality and anonymity options
    • Expected response timeframes

2. Establish reporting channels - Provide:

  • Multiple reporting options to accommodate preferences
  • Both electronic and human contact methods
  • Clear instructions on how to use each channel
  • Accessibility for persons with disabilities
3. Designate responsible persons - Appoint:
  • Process owner responsible for the mechanism
  • Personnel to receive and triage reports
  • Investigation team or individuals
  • Escalation contacts
4. Define investigation procedures - Establish:
  • Process for assessing severity and urgency
  • Investigation methodology
  • Timelines for different concern categories
  • Documentation requirements
  • Decision-making authority
5. Implement protection mechanisms - Ensure:
  • Anti-retaliation policy is documented and communicated
  • Anonymous reporting infrastructure (if applicable)
  • Separation between reporting mechanism and operational management
  • Consequences for retaliatory behavior are clear
6. Communicate and promote - Conduct:
  • Awareness training for all personnel
  • Regular reminders about the mechanism
  • Clear messaging about protection from reprisals
  • Success stories (where appropriate and anonymised)
7. Track and report - Maintain:
  • Log of all concerns raised
  • Status tracking for each concern
  • Metrics (number of reports, resolution time, types of concerns)
  • Periodic reports to management
  • Trend analysis
8. Review and improve - Periodically assess:
  • Effectiveness of the mechanism
  • Barriers to reporting
  • Personnel confidence in the process
  • Opportunities for improvement

Key Considerations

Existing mechanisms: Organisations may leverage existing whistleblowing, ethics hotlines, or grievance mechanisms rather than creating an entirely new system, provided they adequately address AI-specific concerns.

Independence: The mechanism should be sufficiently independent from operational AI teams to ensure objectivity and reduce fear of reprisal. Consider reporting lines to compliance, legal, or audit functions rather than to AI development managers.

Cultural factors: Effectiveness depends on organisational culture. If personnel don't trust the mechanism or fear retaliation, it won't be used. Building trust requires consistent messaging, visible protection of reporters, and demonstrable action on concerns raised.

Response quality: Simply having a reporting mechanism is insufficient - concerns must be investigated properly and resolved. Failure to act undermines trust and discourages future reporting.

External reporting: Consider whether the mechanism should be available to external parties (customers, affected individuals, suppliers) who observe concerning AI system behavior.

Integration with other processes: Link the concern reporting mechanism to:

  • Incident management (Control A.8.7) for operational issues
  • Risk management (Clause 6.1) for newly identified risks
  • Nonconformity and corrective action (Clause 10.2) for systemic issues
  • Management review (Clause 9.3) for strategic visibility

Legal requirements: Some jurisdictions have specific requirements for whistleblowing mechanisms (e.g., EU Whistleblowing Directive). Ensure compliance with applicable laws.

Documentation

Document the reporting mechanism in:

  • AI policy or code of conduct
  • Specific procedure for reporting concerns
  • Personnel handbooks or intranet
  • Training materials
  • Posters or awareness campaigns

Related Controls

Within ISO/IEC 42001:

  • A.2.2 AI policy
  • A.3.2 AI roles and responsibilities
  • A.8.7 Incident management
  • Clause 10.2 Nonconformity and corrective action

Integration with ISO 27001 (if applicable):

  • Incident management processes

Related Standard:

  • ISO 37002 Whistleblowing management systems