Test Details: EU AI Act Compliance

High-Risk

The model's functionality, as described, likely impacts individuals' fundamental rights and freedoms. Without knowing the specifics of the model's application, it's impossible to definitively state it's not high-risk. Many AI systems used for decision-making in areas like hiring, loan applications, or criminal justice risk falling into this category.

Risk assessment, data governance (including data quality, fairness, and bias mitigation), transparency (explainability and documentation of the model’s functioning), human oversight (meaningful human intervention in decision-making processes), robust security (data protection and prevention of unauthorized access or manipulation), record-keeping, and conformity assessment (compliance with relevant standards and obtaining certification if needed). Specific requirements depend on the model's exact application.

Conduct a thorough risk assessment aligning with the EU AI Act's requirements. Design the model with principles of fairness, transparency, and accountability in mind. Implement rigorous testing and validation processes to identify and mitigate bias. Engage with relevant regulatory bodies and seek expert advice on compliance.