A company deploys an AI model for fraud detection in online transactions. During its operation, the model begins to exhibit high rates of false positives, flagging legitimate transactions as fraudulent. Which is the best step the company should take to address this development?
A. Dedicate more resources to monitor the model.Scenario:
A company is using different types of AI systems to enhance consumer engagement. These include chatbots, recommendation engines, and automated content generation tools.
Which of the following situations would beleast likelyto raise concerns under existing consumer protection laws?
A. An AI algorithm being used in a credit decision-making process by a financial institutionScenario:
A financial services company is planning a new AI project to assess creditworthiness. The AI team is mapping out what tasks should be completed during theplanning phaseof the AI lifecycle.
The planning phase of the AI lifecycle includes all of the following EXCEPT:
A. Definition of underlying assumptionsWhich of the following deployments of generative Al best respects intellectual property rights?
A. The system produces content that is modified to closely resemble copyrightedwork.Which of the following best defines an "Al model"?
A. A system that applies defined rules to execute tasks.Which of the following is an example of a high-risk application under the EU Al Act?
A. A resume scanning tool that ranks applicants.All of the following are required for high-risk AI systems under the EU AI Act EXCEPT?
A. Retaining system-generated logs for at least six months.Which of the following arenotconsidered biometric data under U.S. privacy laws?
A. Iris scansCASE 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.
In the design phase, what is the most important step for the healthcare network to take when mapping its existing data to the clinical research partner data?
A. Apply privacy-enhancing technologies to the data.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. Which stakeholder is responsible for the lawful collection of data used to train the foundational AI model?
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