Fully automated AI local newsletter network rapped for poor transparency
Fully automated AI local newsletter network rapped for poor transparency
Occurred: January 2025
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A network of AI-generated local newsletters operating in 355 US cities has come under scrutiny for lack of transparency about its AI usage and questionable practices.
Founded by Matthew Henderson, Good Daily Inc. network of AI-generated local news newsletters uses AI and automation to curate and summarise local news stories.
However, Henderson was criticised for failing to disclose the use of AI to subscribers, and rapped for the poor quality of some of his network's outputs, including using identical, potentially fabricated testimonials across different city newsletters.
Furthermore, some subscribers complained that they had no idea how their were signed up to the network, raising privacy concerns.
A "give back" program where some winning nonprofits were unaware of their involvement, and potentially inflated audience reach claims in advertiser materials raised further questions about Henderson's integrity and ethics.
Henderson appears to have take advantage of the economic challenges plaguing local news markets in the US to create a set of automated solutions - an opportunity greatly facilitated by advancements in AI and large language models and the lack of regulation or industry standards for AI-generated news.
Local news consumers appear to unknowingly relying on Henderson's AI-generated content, raising concerns about the ethics and transparency of AI-generated local news and highlighting the need for clearer disclosure and regulation of AI use in journalism.
It also means that existing local news outlets are likely to face increased competition for readers and advertising revenue, and that advertisers may be misled about the nature and reach of the newsletters they sponsor.
Unknown
Operator:
Developer: Good Daily Inc
Country: USA
Sector: Media/entertainment/sports/arts
Purpose: Generate news summaries
Technology: Generative AI; Machine learning
Issue: Accountability; Privacy; Transparency
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Type: Issue
Published: February 2025