While cost, speed, and infrastructure are practical considerations, the AAIA™ Study Guide stresses that ethical implications must be the top priority. Implementing AI without evaluating potential harm, bias, discrimination, or privacy concerns can result in legal, social, and reputational damage.
“Ethical implications should be central to AI implementation decisions. Responsible AI practices involve evaluating societal impact, transparency, accountability, and fairness before deployment.”
Therefore, D is the most essential consideration.
[Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: “Ethical and Legal Considerations in AI,” Subsection: “Ethics-First Approach to AI Implementation”, ]
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