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Ethical & Responsible AI /Governance / Accountability First:When ISACA asks how to ensure ethical, responsible, or trustworthy AI deployment, prioritize Accountability Models, Governance Frameworks, and Human Oversight Structures over passive technical artifacts like model cards or system documentation.
ISACAs AAISM review manual says that model cards support transparency, trust, validation, and risk management. It describes model cards as files that accompany AI models and provide concise information about model details, training data, performance metrics, use-case limitations, and known biases or ethical considerations.
Model cards are standardized documentation frameworks (popularized by responsible AI practices) that detail a model's intended use, limitations, performance metrics, potential biases, ethical considerations, and risks. They promote transparency and accountability, directly supporting ethical and responsible deployment of in-house developed AI products. D is vague and not a standard term in responsible AI governance compared to model cards.