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| Section | Objectives |
|---|---|
| AI Laws, Regulations, and Standards | - Regional and National Regulations
|
| AI Risk Management | - Operationalizing Risk Management
|
| AI Governance Management | - Life Cycle Management
|
| Foundations of AI Governance | - Impacts of AI
|
| AI Governance Implementation | - Organizational Governance
|
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67. Frage
Which of the following most encourages accountability over AI systems?
Antwort: D
Begründung:
Defining clear roles and responsibilities for AI stakeholders is essential to establish accountability throughout the AI system's lifecycle.
68. Frage
CASE STUDY
Please use the following answer the next question:
A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The Al system works by surveilling the public sites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.
The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system's accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor's system has a higher accuracy rate and based on this information, recommended this vendor to the police department.
The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process.
The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.
Which Al risk would NOT have been identified during the procurement process based on the categories of information requested by the third-party consultant?
Antwort: B
Begründung:
The AI risk that would not have been identified during the procurement process based on the categories of information requested by the third-party consultant is security. The consultant focused on accuracy rates, diversity of training data, and system functionality, which pertain to performance and fairness but do not directly address the security aspects of the AI system. Security risks involve ensuring that the system is protected against unauthorized access, data breaches, and other vulnerabilities that could compromise its integrity. Reference: AIGP Body of Knowledge on AI Security and Risk Management.
69. Frage
What is the primary reason the EU is considering updates to its Product Liability Directive?
Antwort: A
Begründung:
The EU's update to the Product Liability Directive primarily aims to address the challenges posed by digital services and connected products, ensuring that liability rules are fit for purpose in the digital age and the circular economy.
70. Frage
Which of the following best describes the data minimization principle as it relates to an AI model?
Antwort: B
Begründung:
A best reflects practical application of data minimization to machine learning. Data minimization requires personal data to be adequate, relevant, and limited to what is necessary for the specified purpose. AI development does not categorically prohibit using personal data in training, so B is too absolute. Personal data may legitimately be required during both training and inference, making D incorrect. Manual review of every data item is neither the definition nor a necessary implementation of minimization. Privacy-enhancing techniques can instead reduce the amount or identifiability of personal data processed while retaining model utility. ICO AI guidance specifically identifies perturbation or adding noise, synthetic data, and federated learning as techniques that can support data minimization during model training. Thus, A is the technically and governance-aligned choice.
71. Frage
According to the EU AI Act, providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?
Antwort: D
Begründung:
The EU AI Act classifies AI systems into four risk categories:
1. Unacceptable risk: AI applications posing a clear threat to safety, livelihoods, and rights of people, such as social scoring or real-time biometric identification in public spaces.
2. High-risk: AI systems that significantly impact health, safety, or fundamental rights, including those used in critical infrastructure, education, employment, and law enforcement.
3. Limited risk: AI systems with specific transparency obligations, like chatbots.
4. Minimal risk: AI systems with minimal regulatory requirements, such as spam filters.
Providers of high-risk AI systems must ensure compliance with the Act's requirements, including conducting a conformity assessment and registering the system in the EU database.
72. Frage
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