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:
• Entered into a contract with the technology company with suitable representations and warranties.
• Completed an impact assessment on the LLM for this intended use.
• Built technical guidance on how to measure and mitigate bias in the LLM.
• Enabled technical aspects of transparency, explainability, robustness and privacy.
• Followed applicable regulatory requirements.
• Created specific legal statements and disclosures regarding the use of the Al on its client ' s advertising.
The technology company has:
• Provided guidance and resources to developers to address environmental concerns.
• Build technical guidance on how to measure and mitigate bias in the LLM.
• Provided tools and resources to measure bias specific to the LLM.
• Enabled technical aspects of transparency, explainability, robustness and privacy.
• Mapped and mitigated potential societal harms and large-scale impacts.
• Followed applicable regulatory requirements and industry standards.
• Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.
The technology company has also addressed environmental concerns and societal harms.
Which of the following results would be considered biased outputs from this AI system EXCEPT?
Why is it important that conformity requirements are satisfied before an AI system is released into production?
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model (“LLM”). In particular, ABC intends to use its historical customer data—including applications, policies, and claims—and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed tA. human underwriter for final review.
ABC and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. ABC has designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness, and reliability of its output. After the first month in production, ABC realizes that the LLM declines a higher percentage of women ' s loan applications due primarily to women historically receiving lower salaries than men.
The best approach to enable a customer who wants information on the Al model ' s parameters for underwriting purposes is to provide?
A leading software development company wants to integrate AI-powered chatbots into their customer service platform. After researching various AI models in the market which have been developed by third-party developers, they ' re considering two options:
Option A - an open-source language model trained on a vast corpus of text data and capable of being trained to respond to natural language inputs.
Option B - a proprietary, generative AI model pre-trained on large data sets, which uses transformer-based architectures to generate human-like responses based on multimodal user input.
Option A would be the best choice for the company because?
Scenario:
An organization is developing a powerful general-purpose AI (GPAI) model that has systemic impact. The compliance team is assessing what legal obligations apply under the EU AI Act.
Under the EU AI Act, which of the following compliance actions appliesonly to General Purpose AI models with systemic risk?
What is the technique to remove the effects of improperly used data from an ML system?
When monitoring the functional performance of a model that has been deployed into production, all of the following are concerns EXCEPT?
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.
When prioritizing the updates to its policies, rules and procedures to include the new AI system for user authentication, the organization should:
All of the following areunique characteristics of AIthat require a comprehensive approach to governanceEXCEPT?
An AI system ' s function, the industry and the location in which it operates are important factors in considering which of the following?