Describe the kind of post-audit support you offer. Provide examples of how you handle resistance or challenges from stakeholders regarding bias mitigation measures. Discuss how you measure the effectiveness of bias mitigation strategies.
What risk mitigation strategies do you use when handling personal information, including sensitive personal information, in an audit? Do you follow any security standards or certifications (e.g., ISO 27001, SOC 2) to ensure data security? Who has access to the data during your analysis? Do you use any GenAI tools as part of your methodology and analysis? Do you anonymize or pseudonymize data before analysis? Do you subcontract any work, and if so, for what specifically and what controls are in place over subcontractors? What is your policy on data and record retention once an audit is completed? Do you have a security incident response plan in place for responding to data breaches or security incidents during an audit?
How long does a typical bias audit take? Walk us through each step in the audit process. Do you carry professional liability insurance specific to AI auditing and consulting?
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