Discount Offer

Why Buy AIGP Exam Dumps From Passin1Day?

Having thousands of AIGP customers with 99% passing rate, passin1day has a big success story. We are providing fully IAPP exam passing assurance to our customers. You can purchase Artificial Intelligence Governance Professional exam dumps with full confidence and pass exam.

AIGP Practice Questions

Question # 1
You are the chief privacy officer of a medical research company that would like to collect and use sensitive data about cancer patients, such as their names, addresses, race and ethnic origin, medical histories, insurance claims, pharmaceutical prescriptions, eating and drinking habits and physical activity.

The company will use this sensitive data to build an Al algorithm that will spot common attributes that will help predict if seemingly healthy people are more likely to get cancer. However, the company is unable to obtain consent from enough patients to sufficiently collect the minimum data to train its model.

Which of the following solutions would most efficiently balance privacy concerns with the lack of available data during the testing phase?
A. Deploy the current model and recalibrate it over time with more data.
B. Extend the model to multi-modal ingestion with text and images.
C. Utilize synthetic data to offset the lack of patient data.
D. Refocus the algorithm to patients without cancer.


C. Utilize synthetic data to offset the lack of patient data.

Explanation: Utilizing synthetic data to offset the lack of patient data is an efficient solution that balances privacy concerns with the need for sufficient data to train the model. Synthetic data can be generated to simulate real patient data while avoiding the privacy issues associated with using actual patient data. This approach allows for the development and testing of the AI algorithm without compromising patient privacy, and it can be refined with real data as it becomes available.

Question # 2
What is the technique to remove the effects of improperly used data from an ML system?
A. Data cleansing.
B. Model inversion.
C. Data de-duplication.
D. Model disgorgement.


D. Model disgorgement.

Explanation: Model disgorgement is the technique used to remove the effects of improperly used data from an ML system. This process involves retraining or adjusting the model to eliminate any biases or inaccuracies introduced by the inappropriate data. It ensures that the model's outputs are not influenced by data that was not meant to be used or was used incorrectly.

Question # 3
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?
A. To comply with applicable law.
B. To assist the fairness of the Al system.
C. To evaluate the reliability of the Al system.
D. To determine the explain ability of the Al system.


B. To assist the fairness of the Al system.

Explanation: The third-party consultant asked each vendor for information about the diversity of their datasets to assist in ensuring the fairness of the AI system. Diverse datasets help prevent biases and ensure that the AI system performs equitably across different demographic groups. This is crucial for a law enforcement application, where fairness and avoiding discriminatory practices are of paramount importance. Ensuring diversity in training data helps in building a more just and unbiased AI system.

Question # 4
What is the 1956 Dartmouth summer research project on Al best known as?
A. A meeting focused on the impacts of the launch of the first mass-produced computer.
B. A research project on the impacts of technology on society.
C. A research project to create a test for machine intelligence.
D. A meeting focused on the founding of the Al field.


D. A meeting focused on the founding of the Al field.

Explanation: The 1956 Dartmouth summer research project on AI is best known as a meeting focused on the founding of the AI field. This conference is historically significant because it marked the formal beginning of artificial intelligence as an academic discipline. The term "artificial intelligence" was coined during this event, and it laid the foundation for future research and development in AI.
Reference: The AIGP Body of Knowledge highlights the importance of the Dartmouth Conference as a pivotal moment in the history of AI, which established AI as a distinct field of study and research.

Question # 5
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?
A. Segmentation.
B. Generative Al.
C. Expert systems.
D. Supervised learning.


D. Supervised learning.

Explanation: Supervised learning is a subcategory of AI and machine learning where labeled datasets are used to train algorithms. This process involves feeding the algorithm a dataset where the input-output pairs are known, allowing the algorithm to learn and make predictions or decisions based on new, unseen data. Reference: AIGP BODY OF KNOWLEDGE, which describes supervised learning as a model trained on labeled data (e.g., text recognition, detecting spam in emails).

Question # 6
A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects.
What type of Al is this technology classified as?
A. Deductive inference.
B. Multi-modal model.
C. Transformative Al.
D. Expert system.


B. Multi-modal model.

Explanation: A multi-modal model is an AI system that can process and analyze multiple types of data, such as text, video, images, and sound. This type of AI integrates different data sources to enhance its understanding and decision-making capabilities. In the given scenario, the AI technology that tags content including names of animals, humans, and objects falls under this category. Reference: AIGP BODY OF KNOWLEDGE, which outlines the capabilities and use cases of multi-modal models.

Question # 7
Pursuant to the White House Executive Order of November 2023, who is responsible for creating guidelines to conduct red-teaming tests of Al systems?
A. National Institute of Standards and Technology (NIST).
B. National Science and Technology Council (NSTC).
C. Office of Science and Technology Policy (OSTP).
D. Department of Homeland Security (DHS).


A. National Institute of Standards and Technology (NIST).

Explanation: The White House Executive Order of November 2023 designates the National Institute of Standards and Technology (NIST) as the responsible body for creating guidelines to conduct red-teaming tests of AI systems. NIST is tasked with developing and providing standards and frameworks to ensure the security, reliability, and ethical deployment of AI systems, including conducting rigorous red-teaming exercises to identify vulnerabilities and assess risks in AI systems.

Question # 8
CASE STUDY
Please use the following answer the next question:
Good Values Corporation (GVC) is a U.S. educational services provider that employs teachers to create and deliver enrichment courses for high school students. GVC has learned that many of its teacher employees are using generative Al to create the enrichment courses, and that many of the students are using generative Al to complete their assignments.
In particular, GVC has learned that the teachers they employ used open source large language models (“LLM”) to develop an online tool that customizes study questions for individual students. GVC has also discovered that an art teacher has expressly incorporated the use of generative Al into the curriculum to enable students to use prompts to create digital art.
GVC has started to investigate these practices and develop a process to monitor any use of generative Al, including by teachers and students, going forward.
All of the following may be copyright risks from teachers using generative Al to create course content EXCEPT?
A. Content created by an LLM may be protectable under U.S. intellectual property law.
B. Generative Al is generally trained using intellectual property owned by third parties.
C. Students must expressly consent to this use of generative Al.
D. Generative Al often creates content without attribution.


C. Students must expressly consent to this use of generative Al.

Explanation: All of the options listed may pose copyright risks when teachers use generative AI to create course content, except for students must expressly consent to this use of generative AI. While obtaining student consent is essential for ethical and privacy reasons, it does not directly relate to copyright risks associated with the creation and use of AI-generated content.
Reference: The AIGP Body of Knowledge discusses the importance of addressing intellectual property (IP) risks when using AI-generated content. Copyright risks are typically associated with the use of third-party data and the lack of attribution, rather than the consent of users.

AIGP Dumps
  • Up-to-Date AIGP Exam Dumps
  • Valid Questions Answers
  • Artificial Intelligence Governance Professional PDF & Online Test Engine Format
  • 3 Months Free Updates
  • Dedicated Customer Support
  • Artificial Intelligence Governance Pass in 1 Day For Sure
  • SSL Secure Protected Site
  • Exam Passing Assurance
  • 98% AIGP Exam Success Rate
  • Valid for All Countries

IAPP AIGP Exam Dumps

Exam Name: Artificial Intelligence Governance Professional
Certification Name: Artificial Intelligence Governance

IAPP AIGP exam dumps are created by industry top professionals and after that its also verified by expert team. We are providing you updated Artificial Intelligence Governance Professional exam questions answers. We keep updating our Artificial Intelligence Governance practice test according to real exam. So prepare from our latest questions answers and pass your exam.

  • Total Questions: 100
  • Last Updation Date: 28-Mar-2025

PDF Price

$19.99
$55.99 Updates:

Engine Price

$25.99
$73.99 Updates:

PDF + Engine

$29.99
$84.99 Updates:


Up-to-Date

We always provide up-to-date AIGP exam dumps to our clients. Keep checking website for updates and download.

Excellence

Quality and excellence of our Artificial Intelligence Governance Professional practice questions are above customers expectations. Contact live chat to know more.

Success

Your SUCCESS is assured with the AIGP exam questions of passin1day.com. Just Buy, Prepare and PASS!

Quality

All our braindumps are verified with their correct answers. Download Artificial Intelligence Governance Practice tests in a printable PDF format.

Basic

$80

Any 3 Exams of Your Choice

3 Exams PDF + Online Test Engine

Buy Now
Premium

$100

Any 4 Exams of Your Choice

4 Exams PDF + Online Test Engine

Buy Now
Gold

$125

Any 5 Exams of Your Choice

5 Exams PDF + Online Test Engine

Buy Now

About Us

Passin1Day has a big success story in last 12 years with a long list of satisfied customers.

We are UK based company, selling AIGP practice test questions answers. We have a team of 34 people in Research, Writing, QA, Sales, Support and Marketing departments and helping people get success in their life.

We dont have a single unsatisfied IAPP customer in this time. Our customers are our asset and precious to us more than their money.

WE FEEL SATISFIED WHEN YOU GET SATISFIED!

AIGP Dumps

We have recently updated IAPP AIGP dumps study guide. You can use our Artificial Intelligence Governance braindumps and pass your exam in just 24 hours. Our Artificial Intelligence Governance Professional real exam contains latest questions. We are providing IAPP AIGP dumps with updates for 3 months. You can purchase in advance and start studying. Whenever IAPP update Artificial Intelligence Governance Professional exam, we also update our file with new questions. Passin1day is here to provide real AIGP exam questions to people who find it difficult to pass exam

Artificial Intelligence Governance can advance your marketability and prove to be a key to differentiating you from those who have no certification and Passin1day is there to help you pass exam with AIGP dumps. IAPP Certifications demonstrate your competence and make your discerning employers recognize that Artificial Intelligence Governance Professional certified employees are more valuable to their organizations and customers.


We have helped thousands of customers so far in achieving their goals. Our excellent comprehensive IAPP exam dumps will enable you to pass your certification Artificial Intelligence Governance exam in just a single try. Passin1day is offering AIGP braindumps which are accurate and of high-quality verified by the IT professionals.

Candidates can instantly download Artificial Intelligence Governance dumps and access them at any device after purchase. Online Artificial Intelligence Governance Professional practice tests are planned and designed to prepare you completely for the real IAPP exam condition. Free AIGP dumps demos can be available on customer’s demand to check before placing an order.


What Our Customers Say

Testimonial

Jeff Brown

Thanks you so much passin1day.com team for all the help that you have provided me in my IAPP exam. I will use your dumps for next certification as well.
Testimonial

Mareena Frederick

You guys are awesome. Even 1 day is too much. I prepared my exam in just 3 hours with your AIGP exam dumps and passed it in first attempt :)
Testimonial

Ralph Donald

I am the fully satisfied customer of passin1day.com. I have passed my exam using your Artificial Intelligence Governance Professional braindumps in first attempt. You guys are the secret behind my success ;)
Testimonial

Lilly Solomon

I was so depressed when I get failed in my Cisco exam but thanks GOD you guys exist and helped me in passing my exams. I am nothing without you.