Google is in discussions with news publishers about building and selling artificial intelligence tools that could help reporters and editors produce written journalism, a potential major acceleration of the practice of using automated tools to produce news content. The product was pitched as possibly being able to collect information as part of newsgathering, write an early draft of a news story, and handle postproduction elements like writing social media posts.
Source: Google pitches media outlets on AI that could help produce news
Thousands of writers including Nora Roberts, Viet Thanh Nguyen, Michael Chabon and Margaret Atwood have signed a letter asking artificial intelligence companies like OpenAI and Meta to stop using their work without permission or compensation. It’s the latest in a volley of counter-offensives the literary world has launched in recent weeks against AI. But protecting writers from the negative impacts of these technologies is not an easy proposition.
At the heart of the rebellions is a newfound understanding that online information — stories, artwork, news articles, message board posts and photos — may have significant untapped value. “What’s happening here is a fundamental realignment of the value of data,” said Brandon Duderstadt, the founder and chief executive of Nomic, an A.I. company.
What makes generative AI more disruptive than previous technologies? One factor is certainly the exceptionally rapid pace at which generative AI technologies have been launched, adopted, and adapted. Evolution in the fields of law and policy, by contrast and of necessity, is much slower. It is, moreover, not easy to assess how to calibrate balances among competing copyright interests in the early stages of newtechnology evolutions.