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AAISM · Question #130

Within an incident handling process, which of the following would BEST help restore end-user trust in an AI system?

The correct answer is A. Remediation of the AI system based on lessons learned. Remediating the AI system based on lessons learned demonstrates to end users that the organization has identified what went wrong, fixed the root cause, and improved the system to prevent recurrence. This is the most substantive action for rebuilding trust because it produces a…

AI Security Assurance and Resilience

Question

Within an incident handling process, which of the following would BEST help restore end-user trust in an AI system?

Options

  • ARemediation of the AI system based on lessons learned
  • BThe AI model's outputs are validated by team members
  • CAI is used to monitor incident detection and alerts
  • DThe AI model prioritizes incidents based on business impact

How the community answered

(39 responses)
  • A
    79% (31)
  • B
    13% (5)
  • C
    3% (1)
  • D
    5% (2)

Explanation

Remediating the AI system based on lessons learned demonstrates to end users that the organization has identified what went wrong, fixed the root cause, and improved the system to prevent recurrence. This is the most substantive action for rebuilding trust because it produces a tangible, durable improvement. Option B (team validation of outputs) is an ongoing control, not a trust-restoring response to an incident. Option C (AI monitoring alerts) is a detection measure. Option D (AI-prioritized incidents) improves response efficiency but does not directly address why end-user trust was lost or how the system has been improved.

Topics

#Incident Response#Trust Restoration#Remediation#Lessons Learned

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