DeeJay Puga
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In our process as auditors AI must balance between sticking to policies set by the company VS working around business needs. Let's say we do have a policy that would require us to conduct calibration every quarter however the clients wants it to be done on a monthly basis. First you I will set the criticality of the policy for the AI to weigh in the risk of bypassing the said step then will set the bias of the decision for each policy if more for client or the policy.
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In our work as assessors being able to probe deeper and investigate through interviews is an aspect of our work environment which feels too human to handover to AI. This technology might have progressed in leaps and bounds, experience and intuition of a seasoned auditor will still prevail. An auditor can also navigate through grey areas and come up to a conclusive decision.
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In our current work environment being empathize to our customers concern is currently too human to hand over to AI. By using semantics and language patterns we can reimagine this to make AI as a valuable contributor.
