AIGP: Artificial Intelligence Governance ProfessionalDemo

Question

Which statements best describe data dependency in relation to an AI model?

Choose three

A An AI model’s performance depends on the quality, quantity and diversity of its training data.
B Using privacy-enhancing techniques is a core principle of data dependency in AI models.
C Having large, high-quality datasets reduces data dependency in AI models.
D The complexity and architecture of an AI model are influenced by the characteristics of its training data.
E Biases and limitations in an AI model often originate from biases and limitations present in its training data.

Explanation

An AI model learns patterns from its training data, so the data’s quality, quantity, and diversity materially affect performance. Biased, incomplete, or unrepresentative training data can produce corresponding limitations or biases in model outputs. Training-data characteristics and task requirements also influence the model approach and architecture selected. Privacy-enhancing techniques address privacy and security, rather than defining data dependency, and better datasets do not remove a model’s reliance on data.

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AIGP: Artificial Intelligence Governance ProfessionalDemo

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