How AI could sap - or save - local news - Poynter
Briefly

Artificial intelligence (AI) could either undermine or save the local news sector depending on how it is utilized. The use of AI models, particularly large language models, is challenging for local news as they require extensive training data, which is often lacking in small language ecosystems. Generative AI engines also struggle with adapting to the local context and frequently produce factual errors. This poses a significant risk of misinformation, especially in low-news areas that have limited data for AI algorithms to utilize. Reputable AI services may need to refuse providing answers when accurate information is unavailable, but pressure to produce localized content can undermine this principle.
"Generative AI engines won't handle that disappointment well."
A Congressional hearing discussed the potential impact of AI on the local news sector and raised questions that will shape the outcome. It is crucial to find ways for AI companies to become allies rather than adversaries in the local news industry. One proposal is for AI companies to support and collaborate with local news outlets, providing them with the necessary tools and resources to leverage AI effectively. This could offer opportunities for growth and innovation in the local news sector, ensuring its survival in the digital age.
"Here are a few questions that could shape the outcome - closing with a modest proposal for how AI companies could be the heroes instead of the villains in the story of local news."
Read at Poynter
[
add
]
[
|
|
]
more Media industry Briefly
[ Load more ]