AI in Journalism: Trends and Challenges
Image Unsplash: Benjamin Davies @bendavisual
Earlier this week, Christina Veiga of the News Literacy Project shared tips on how to spot AI in texts with CNN’s Hadas Gold.
Veiga outlined three key indicators. First, consider the article’s style and structure. AI tends to produce text that is overly consistent and lacks human nuance. Second, look for factual inaccuracies. AI-generated content can occasionally include mistakes or fabricated details. Third, evaluate the article’s creativity and depth. AI often struggles with producing content that shows original thought or a deep understanding of complex issues.
The discussion was held just a week before Grammarly’s discussion on generative AI at London Tech Week. Grammarly- a generative AI tool and Grammar spellchecker popular among writers and journalists - hosted a fireside chat on responsible AI use and handling information overload. Grammarly highlighted its collaboration with CDW to boost business communications and announced a distribution deal with TD SYNNEX to extend its global reach.
Meanwhile, Apple will delay its AI initiative in Europe due to uncertainties around new EU regulations under the Digital Markets Act (DMA). The act aims to limit the power of tech giants. Apple initially planned the launch for June, including a partnership with OpenAI to bring Chat-GPT to iPhones.
This delay underscores regulatory challenges facing tech firms today as they navigate evolving legal landscapes while adopting modern technologies.