IAPP AIGP Exam With Confidence Using Practice Dumps

The correct answer is D. GPS location data is not biometric data—it is considered geolocation data, which is personal data but not biometric under most U.S. laws.

From the AIGP ILT Guide (Data Privacy Module):

“Biometric data includes measurable biological or behavioral characteristics such as iris scans, facial recognition, voice prints, and keystroke patterns when used for identification.”

AI Governance in Practice Report 2024 (Privacy and Data Protection section):

“Location data, while sensitive, is not considered biometric unless it’s tied to a uniquely identifying biological trait.”

Thus, GPS location data, while potentially sensitive, is not classified as biometric.

Testing data is a subset of data used to provide a robust evaluation of a final model. After training the model on training data, it is essential to test its performance on unseen data (testing data) to ensure it generalizes well to new, real-world scenarios. This step helps in assessing the model's accuracy, reliability, and ability to handle various data inputs. Reference: AIGP Body of Knowledge on Model Validation and Testing.

Risk probability/severity testing is not typically used to evaluate the performance of an AI system. While important for risk management, it does not directly assess an AI system's operational performance. Adversarial robustness, statistical sampling, and decision analysis are all methods that can help evaluate the performance of a responsible AI system by testing its resilience, accuracy, and decision-making processes under various conditions. Reference: AIGP Body of Knowledge on AI Performance Evaluation and Testing.