Journalism and generative AI: Exploring limitations and apprehensions within the news industry

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My AEI colleague Mark Jamison recently asserted that “traditional news journalists are toast” because the “cost of authoring written content” has plunged in just two years from “around $100 per 1000 words” to only four cents. That’s due to advanced large language models such as ChatGPT and Claud 2 [that] have revolutionized content creation, driving costs down by a staggering 99.96 percent.” Mark argues that “[n]ewspapers must embrace this disruption. By reimagining their role from mere news reporters to comprehensive answer providers, legacy companies can leverage AI to deliver more relevant and insightful content to readers.”

Indeed, numerous journalism organizations are exploring uses of AI-generated content. The New York Times even hired an editorial director for AI initiatives. Thus it’s important to recognize limitations regarding what AI can do for journalism and to understand news organizations’ apprehensions about AI-generated content.

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