Q: 11
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 agency has taken governance actions such as:
Conducting an impact assessment
Providing legal disclosures
Enabling bias mitigation and explainability
Complying with regulatory requirements
Which of the following should be included in the marketing company’s disclosures about the use of
the LLM EXCEPT?
Options
Discussion
No way they'd include proprietary methods, so B.
C/D? B is the right pick since proprietary methods are never required in disclosures, that's a classic trap option in AI governance scenarios. The rest (purpose, compliance, limitations) are all standard for transparency. Seen similar on practice sets, agree with B.
B for sure. Disclosing proprietary methods isn’t expected, that’s usually confidential IP. The trap is D since limitations are a common transparency disclosure in AI governance. Seen similar on practice questions.
I don't think it's A. B is the odd one out here because sharing proprietary methods isn't required in these disclosures. Companies focus on purpose and compliance. Anyone disagree?
B makes sense to me since companies don’t have to reveal the proprietary algorithms or internal workings. Usually, it's more about purpose, compliance, and transparency for users. But not totally sure, so open if someone thinks otherwise.
These vendor questions love to sneak in "proprietary methods" as an option. B
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