AIGP Question Includes: Single Choice Questions: 162, Multiple Choice Questions: 2,
Which of the following deployments of generative Al best respects intellectual property rights?
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.
During the procurement process, what is the most likely reason that the third-party consultant asked each vendor for information about the diversity of their datasets?
CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant Agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
The most significant risk from combining the healthcare network’s existing data with the clinical research partner data is?
What is the main purpose of accountability structures under the Govern function of the NIST Al Risk Management Framework?
The White House Executive Order from November 2023 requires companies that develop dual-use foundation models to provide reports to the federal government about all of the following EXCEPT?
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The IAPP AIGP Exam, officially titled Artificial Intelligence Governance Professional, certifies your ability to manage and govern AI systems responsibly. It’s designed for professionals who want to ensure ethical, safe, and compliant AI deployment across industries.
The AIGP credential is suitable for professionals in roles such as AI compliance, risk management, data scientists, AI project managers, model operations (MLOps), legal & governance, privacy professionals, and those building or overseeing AI systems who must ensure ethical, safe, and trustworthy AI.
The AIGP exam includes the following core domains:
AI Fundamentals and Use Cases
Responsible AI Principles
AI Risk Management
AI Governance Frameworks
Legal and Regulatory Landscape
AI Lifecycle and Oversight
Ethical Considerations and Emerging Issues
The AIGP exam includes 85 scored multiple-choice questions and 15 unscored questions, with a total duration of 3 hours. It is delivered online via a secure testing platform.
No formal prerequisites are required to register for the AIGP exam. You do not need prior IAPP certifications, though a strong background or understanding of AI, privacy, risk, or governance frameworks is highly beneficial.
The AIGP certification is valid for two years from the date you pass the exam. To maintain it, holders must: (1) earn 20 continuing education credits (CPEs) relevant to the AIGP BoK.
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