Free Authentic IAPP AIGP Actual Exam Questions - Question 3 Discussion
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?
A fits best since it’s about ad distribution, not biased AI-generated content.
Maybe A, since sending ads to companies isn’t really about biased AI content.
Good point about A being more of a distribution thing. Since the question focuses on AI-generated outputs, I think A fits as the exception here because it’s about who gets the ads, not the content itself. So, A looks like the right pick.
Actually, C stands out because hyper-sexualizing images is a clear bias issue, but A is more about distribution strategy, which isn’t inherently biased content from the AI itself.
Actually, A feels like a distribution choice, not bias within the AI-generated content itself. The rest clearly show stereotypical or unequal representation in the messaging or visuals.
D imo, focusing on color and style for female audiences feels like a stereotypical bias, reducing them to looks rather than safety or function. A stands out because it’s more about who gets the ads rather than the content showing bias. B and C clearly show biased portrayals or neglect of certain groups. So, A is the only one that doesn’t reflect biased output from the AI itself, just a targeting decision.
It’s A since targeting companies over individuals doesn’t show bias in the content itself, just a marketing decision. The other options clearly reflect biased or stereotypical portrayals.
This one feels pretty clear too, since A is about targeting strategy, not content bias. The other options reflect biased stereotypes or unfair portrayals, like ignoring minorities or using sexist imagery. So I’d say the odd one out, not biased, is A.
Maybe A isn’t biased because targeting companies instead of individuals could be a strategic marketing choice, not necessarily a bias in the AI. The other options clearly show stereotypical or unfair treatment based on gender or minority status, which fits the definition of bias better. So A feels like the odd one out here.
A