You are a privacy program manager at a large e-commerce company that uses an Al tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the
chatbot and public data the company has scraped from social media.
A user submits a data access request under an applicable U.S. state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for productrecommendations.
What is the most challenging aspect of managing this request?
A. Some of the visitor's data is synthetic data that the company does not have to provide to the data subject.A company is creating a mobile app to enable individuals to upload images and videos, and analyze this data using ML to provide lifestyle improvement recommendations. The signup form has the following data fields:
1.First name 2.Last name 3.Mobile number 4.Email ID 5.New password 6.Date of birth 7.Gender
In addition, the app obtains a device's IP address and location information while in use.
What GDPR privacy principles does this violate?
A. Purpose Limitation and Data Minimization.CASE STUDY
A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries. The marketing agency is accessing the LLM through an application programming interface ("API") developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight
the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance. The marketing company has:
1.
Entered into a contract with the technology company with suitable representations and warranties.
2.
Completed an impact assessment on the LLM for this intended use.
3.
Built technical guidance on how to measure and mitigate bias in the LLM.
4.
Enabled technical aspects of transparency, explainability, robustness and privacy.
5.
Followed applicable regulatory requirements.
6.
Created specific legal statements and disclosures regarding the use of the Al on its client's advertising.
The technology company has:
1.
Provided guidance and resources to developers to address environmental concerns.
2.
Build technical guidance on how to measure and mitigate bias in the LLM.
3.
Provided tools and resources to measure bias specific to the LLM.
4.
Enabled technical aspects of transparency, explainability, robustness and privacy.
5.
Mapped and mitigated potential societal harms and large-scale impacts.
6.
Followed applicable regulatory requirements and industry standards.
7.
Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.
The marketing company and its tech provider have taken reasonable steps to govern the AI's use, including legal disclosures, impact assessments, and bias mitigation. However, the company wants to takeone more stepto improve
governance and reduce risks related to ongoing oversight and accountability.
While the marketing agency took steps to mitigate its risks, the best additional step would be to:
A. Negotiate an intellectual property indemnity from the technology companyAn AI system's function, the industry and the location in which it operates are important factors in considering which of the following?
A. Organizational accountability.CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user
profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
The data processed by the AI system would be classified as:
A. Non-sensitive personal data, since it does not reveal information about health, gender or raceCASE STUDY
A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a client's new product: a hard hat designed for construction workers of any gender to better protect them from head injuries. The marketing agency is accessing the LLM through an application programming interface ("API")developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight
the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.
The marketing company has:
Entered into a contract with the technology company with suitable representations and warranties.
1.
Completed an impact assessment on the LLM for this intended use.
2.
Built technical guidance on how to measure and mitigate bias in the LLM.
3.
Enabled technical aspects of transparency, explainability, robustness and privacy.
4.
Followed applicable regulatory requirements.
5.
Created specific legal statements and disclosures regarding the use of the Al on its client's advertising.
The technology company has:
1.
Provided guidance and resources to developers to address environmental concerns.
2.
Build technical guidance on how to measure and mitigate bias in the LLM.
3.
Provided tools and resources to measure bias specific to the LLM.
4.
Enabled technical aspects of transparency, explainability, robustness and privacy.
5.
Mapped and mitigated potential societal harms and large-scale impacts.
6.
Followed applicable regulatory requirements and industry standards.
7.
Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.
The agency has taken governance actions such as:
1.
Conducting an impact assessment
2.
Providing legal disclosures
3.
Enabling bias mitigation and explainability
4.
Complying with regulatory requirements
Which of the following should be included in the marketing company's disclosures about the use of the LLM EXCEPT?
A. Intended purposeAccording to the Singapore Model Al Governance Framework, all of the following are recommended measures to promote the responsible use of Al EXCEPT?
A. Determining the level of human involvement in algorithmic decision-making.Which of the following may bepermissible usesof an AI system under the EU AI Act EXCEPT?
A. Using biometrics in abduction casesA company has trained an ML model primarily using synthetic data, and now intends to use live personal data to test the model. Which of the following is NOT a best practice apply during the testing?
A. The test data should be representative of the expected operational data.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?
A. Any current training or development of dual-use foundation models.Nowadays, the certification exams become more and more important and required by more and more enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare for the exam in a short time with less efforts? How to get a ideal result and how to find the most reliable resources? Here on Vcedump.com, you will find all the answers. Vcedump.com provide not only IAPP exam questions, answers and explanations but also complete assistance on your exam preparation and certification application. If you are confused on your AIGP exam preparations and IAPP certification application, do not hesitate to visit our Vcedump.com to find your solutions here.