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NO.53 A bank uses a video-based know your customer (KYC) verification process. Cybercriminals exploit this process by using deepfake technology to impersonate bank customers. Which of the following countermeasures is the BEST way for the bank to mitigate this risk?

Requesting additional identity and address documents for verification

Leveraging AI-based liveness detection during video verification

Encrypting all customer data and communication

Discontinuing the use of the video-based verification process

NO.54 Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?

Data performance metrics

Data usage agreements

Use of open-source intellectual property

Model runtime efficiency logs

NO.55 Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

Differences of opinion regarding model types

Difficulties in preventing the input of biased data

Performance issues due to excessive computation

Algorithms changing as AI continues to learn

NO.56 An IS auditor is testing an AI-based fraud detection system that flags suspicious transactions and finds that the system has a high false positive rate. Which of the following testing methods should be prioritized to BEST optimize the detection rate?

Regression testing

Cross-validation testing

Substantive testing

Benford’s Law analysis

NO.57 Which of the following is the MOST important consideration when auditing the data used for training an AI model?

Timeliness

Predictability

Representativeness

Understandability

NO.58 An organization deploys an AI recruitment platform to screen job applicants. The IS auditor identifies that the platform’s decisions may be influenced by model bias. Which of the following risk mitigation strategies is BEST for the auditor to recommend?

Implement a process to periodically test the AI system for biases and adjust parameters as needed.

Suspend the use of the AI system until the training data can be verified for fairness and compliance.

Retrain the AI model using an external data set certified for inclusivity and fairness.

Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.

NO.59 Which of the following is the MOST important risk for an IS auditor to consider when reviewing the adoption of an AI system?

Costs associated with AI system maintenance

Immaturity of AI systems in the industry

Bias in AI system decision making

Resistance to the use of AI technology

NO.60 The PRIMARY purpose of utilizing neural networks in AI is to:

Improve the user interface.

Increase computational power.

Mimic human decision making.

Minimize maintenance costs.

NO.61 In the context of an AI implementation, which of the following actions is MOST critical for an organization’s change management program?

Ensuring the organization has a dedicated AI governance committee

Reviewing documentation for AI system changes, updates, and patches

Conducting a comprehensive risk assessment specific to AI-related changes

Verifying that all employees have completed mandatory AI ethics training

NO.62 During an audit of an investment organization’s AI-powered software, an IS auditor identifies a potential security risk. What is the GREATEST risk associated with staff exfiltrating organizational data to a generative AI tool?

Data contamination due to biased AI model outputs

Unauthorized data disclosure

Potential business disruptions

Excessive reliance on AI-generated insights

NO.63 An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?

Developing action items discussed in closing meetings for management action plans

Developing a draft of an executive summary based on detailed findings and audit scope

Revising audit conclusions with precise verbiage to describe the audit observations

Revising audit background and scope information based on new information from management

NO.64 Which of the following is the MOST effective way an IS auditor could use generative AI to plan an audit of a new database storing transactional data?

Identifying separation of duties conflicts for database data changes

Developing architecture diagrams

Identifying technology-specific risk and considerations

Summarizing meeting transcripts from interviews with database administrators (DBAs)

NO.65 The PRIMARY purpose of maintaining an audit trail in AI systems is to:

Facilitate transparency and traceability of decisions.

Analyze model accuracy and fairness.

Measure computational efficiency.

Ensure compliance with regulatory standards for AI.

NO.66 For a sales promotion, an AI system sorts customer attributes into several categories by analyzing transaction history. Verifying which of the following would BEST validate the effectiveness of this process?

Stress tests are regularly conducted to maintain consistent AI performance.

The applied methodology adequately reflects business objectives.

Sensitive attributes are converted to other data types prior to input.

Sampling of AI output is conducted to identify unusual decisions.

NO.67 A retail organization uses an AI model to analyze customers’ purchase history in order to offer personalized discounts. Which of the following practices represents the MOST ethical use of customer data?

Utilizing customer purchase data only after obtaining explicit consent and allowing customers to opt out

Retaining and analyzing all available customer data to ensure unbiased recommendations

Providing the public with access to review and audit the data set of collected customer information

Sharing customer purchase data with third-party vendors to improve advertising and communication

NO.68 Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?

Cost of resources required for AI model training

Number of users interacting with the AI model

Frequency of AI model retraining

AI model accuracy in predicting actual outcomes

NO.69 Which of the following correctly summarizes the conclusions of the model card excerpt provided?
Model Card – Electrical Grid Predictive Maintenance Model
Model Information:
Description: AI model designed to predict maintenance needs for electrical grid components, reduce unplanned downtime, and improve grid reliability.
Inputs: Real-time sensor data, historical maintenance records, and operational logs.
Outputs: Maintenance needs predictions for 60 & 90 days.Evaluation:
Approach: Cross-validation and validation of accuracy, precision, and recall.
Results: Accuracy 72%; Precision 60%; Recall 95%; F1 76%

The AI model correctly predicts maintenance needs 95% of the time.

The electrical grid uptime is expected to be 72% of the time.

Grid failure is predicted to occur after 90 days.

F1 indicates that the model identifies true maintenance needs 76% of the time.

NO.70 An organization uses an AI-powered tool to detect and respond to cybersecurity threats in real time. An IS auditor finds that the tool produces excessive false positives, increasing the workload of the security team. Which of the following techniques should the auditor recommend to BEST evaluate the tool’s effectiveness in managing this issue?

Use a log analysis tool to examine the types and frequency of alerts generated.

Implement a benchmarking tool to compare the system’s alerting capability with industry standards.

Conduct penetration testing to assess the system’s ability to detect genuine threats.

Deploy a machine learning (ML) validation tool to increase the model’s accuracy and performance.

NO.71 When auditing a research agency’s use of generative AI models for analyzing scientific data, which of the following is MOST critical to evaluate in order to prevent hallucinatory results and ensure the accuracy of outputs?

The effectiveness of data anonymization processes that help preserve data quality

The algorithms for generative AI models designed to detect and correct data bias before processing

The frequency of data audits verifying the integrity and accuracy of inputs

The measures in place to ensure the appropriateness and relevance of input data for generative AI models

NO.72 In order to streamline operations, a bank has deployed an AI application to automatically detect and prevent further fraud on accounts. However, customers have voiced concerns that their usual transactions are being rejected. Which of the following is the MOST likely cause of the false positives?

Consent is not properly managed.

Data versioning controls were not developed.

Compute scale training was not performed.

The hyperparameters are not optimized.

NO.73 An IS auditor notes the combined number of records utilized within the training, validation, and testing data sets exceeds the total number of records in the original data set. Which of the following is MOST important for the auditor to determine?

Whether the training, validation, and testing data sets were created in the correct order

Whether data leakage occurred from utilizing overlapping records in the data sets

Whether a sufficient number of records were utilized in the training data set

Whether the validation data set utilized the same number of records as the training data sets

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