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ISACA Advanced in AI Audit (AAIA) · Isaca
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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
The biggest risk is not the technology itself, but the breakdown of acceptance and governance