Question 1 of 9
\"InnovAI Solutions\" has recently deployed an AI-powered recruitment tool that leverages machine learning algorithms to screen job applications. Following deployment, several internal employee resource groups (ERGs) raised concerns about potential biases in the system, particularly regarding gender and ethnic diversity. The ERGs presented specific instances where qualified candidates from underrepresented groups were consistently filtered out. As the internal auditor responsible for ISO 42001 compliance, you need to advise the AI Governance Committee on the most effective course of action to address these ethical concerns while adhering to the AI lifecycle management principles outlined in ISO 42001:2023. Given the initial deployment and the stakeholder concerns, what is the MOST appropriate immediate step to ensure ongoing ethical compliance and stakeholder trust?
Establish a structured feedback loop integrated into the AI lifecycle, enabling stakeholders to report ethical concerns, triggering a formal review process involving relevant experts, and documenting actions taken with communication back to the stakeholders.
Immediately halt the use of the AI recruitment tool until a completely new, bias-free algorithm can be developed and implemented, regardless of the disruption to the recruitment process.
Conduct a one-time comprehensive audit of the AI recruitment tool's algorithm to identify and rectify any biases, followed by a report to the AI Governance Committee and ERGs, assuming the issue is then resolved.
Implement a mandatory training program for all HR personnel on unconscious bias and its impact on recruitment decisions, while continuing to use the AI tool without modifications, assuming human oversight will mitigate any algorithmic bias.

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