AAISM Practice Questions

A.  

Security monitoring and alerting

B.  

Bias and ethical practices

C.  

Proposed regulatory enhancements

D.  

Access to the model

A.  

Guaranteeing unlimited model retraining requests

B.  

Sharing real-time log information

C.  

Prohibiting the use of customer data for model training

D.  

Restricting query volume thresholds

A.  

They are primarily used to visualize the performance of AI models

B.  

They are used to automatically fine-tune AI models by adjusting hyperparameters based on user feedback

C.  

They provide a standardized way to document the training data and AI model use cases

D.  

They help developers create synthetic data and train AI models

A.  

Response time and throughput

B.  

Error rate and bias detection

C.  

Customer effort score and user retention

D.  

Explainability and F1 score

A.  

Encrypting data in transit and at rest

B.  

Conducting adversarial testing

C.  

Implementing data sanitization techniques

D.  

Enforcing least privilege access

A.  

Assume anonymization is permanent and continue operations

B.  

Immediately delete anonymized datasets and suspend AI services

C.  

Implement a monitoring program including privacy audits and adversarial testing

D.  

Establish strong access controls for services using anonymized data

A.  

Utilization of best practice AI risk management frameworks

B.  

Internal stakeholder participation in AI risk management processes

C.  

Risk measurement during an early stage of the AI system life cycle

D.  

Creation of separate risk management processes for AI-specific risk

A.  

Manual monitoring of alerts

B.  

Using historical data to train detection software

C.  

Utilizing machine learning algorithms to ensure responsible use

D.  

Conducting periodic penetration testing

A.  

It prevents unauthorized access to data

B.  

It enables deletion/modification of personal data

C.  

It allows the organization to process user data in the AI system

D.  

It helps detect bias and ensure fairness

A.  

Clean desk policy

B.  

Social engineering

C.  

Malicious insider threats

D.  

Authentication controls