AIGP · Question #195
CASE STUDY Please use the following to answer the next question: A global marketing agency is adapting a large language model ("LLM") to generate content for an upcoming marketing campaign for a clien
The correct answer is B. The tech company.. Option B is correct because the technology company developed the foundational LLM and is therefore responsible for how it was built - including the lawful collection of data used to train it. This is reinforced by the case: the tech company created "legal statements and disclosur
Question
CASE STUDY Please use the following to answer the next question:
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 AI 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 AI 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. Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?
Options
- AThe marketing agency.
- BThe tech company.
- CThe data aggregator.
- DThe marketing agency's client.
How the community answered
(22 responses)- A27% (6)
- B59% (13)
- C9% (2)
- D5% (1)
Explanation
Option B is correct because the technology company developed the foundational LLM and is therefore responsible for how it was built - including the lawful collection of data used to train it. This is reinforced by the case: the tech company created "legal statements and disclosures regarding the LLM, including with respect to IP and rights to data," which directly covers training data provenance.
Option A (marketing agency) is wrong because the agency is a downstream user accessing the pre-built model via API - they had no involvement in training it and therefore bear no responsibility for training data collection.
Option C (data aggregator) is a red herring - no data aggregator is mentioned anywhere in the scenario, making this an unsupported distractor.
Option D (marketing agency's client) is wrong because the client is a hard hat manufacturer with no role in AI development or deployment; their only relationship to the system is as the end-beneficiary of the marketing campaign.
Memory tip: Map responsibility to lifecycle stage - whoever builds and trains the foundational model owns training data obligations. The tech company built it → the tech company is accountable for training data. The agency only uses it via API.
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