ISACA Advanced in AI Audit Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose D1

  When a deep learning system updates itself as it learns (adaptive/continuous learning): The model continuously adjusts based on incoming data. If that data contains biases, the model can: Reinforce and amplify those biases over time Produce unfair or discriminatory outcomes This creates: Ethical risk Regulatory risk (e.g., discrimination laws) Reputational damage Legal liability 👉 This is widely recognized as one of the most critical risks in AI systems

• Chose B1

  The biggest risk is not the technology itself, but the breakdown of acceptance and governance