Fukuoka campaign invents AI-generated tourist spots
Fukuoka campaign invents AI-generated tourist spots
Occurred: November 2024
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An AI-generated marketing campaign intended to promote Fukuoka Prefecture, Japan, backfired after it was found to have created false tourist attractions and culinary recommendations.
A "Fukuoka Connection Support" website launched early November 2024 to showcase the prefecture's attractions and culture.
However, shortly after its launch, it was discovered that the site featured numerous inaccuracies, including nonexistent attractions such "Uminaka Happiness World" and outdated references to closed sites such as "Kashii Kaen Sylvania Garden."
In addition, the site promoted am entirely fictitious dish called the "Koga sashimi set."
The Tokyo-based web company that used generative AI to develop the marketing website's content claims it went through verification process, but that this had proved inadequate.
The Fukuoka Municipal Government was not informed about the use of AI in the campaign and, following a public outcry and complaints from residents, the authority pulled the campaign and fired the marketing agency.
The incident underscores the need for meaningful human oversight in the development and use of AI-generated content, including in areas such as tourism where misinformation can harm local economies and reputations.
The Fukuoka Prefecture's experience serves as a cautionary tale for other regions considering similar AI-driven initiatives, highlighting that reliance on technology without proper checks can lead to loss of trust.
Hallucination (artificial intelligence)
In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, confabulation or delusion) is a response generated by AI that contains false or misleading information presented as fact.
Source: Wikipedia 🔗
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Country: Japan
Sector: Travel/hospitality
Purpose: Develop marketing campaign content
Technology: Generative AI; Machine learning
Issue: Accuracy/reliability; Mis/disinformation
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Type: Issue
Published: November 2024