What’s okay and what’s verboten when it comes to AI in the production of news? Here’s how 21 newsrooms in the U.S., Europe, and elsewhere have laid out their own policies and plans.
“It’s probably better to think of these tools as internal newsroom tools, making suggestions to reporters and editors rather than generating text that will be directly published.”
Estimates say that today’s AI can automate only about 15 percent of a reporter’s job and 9 percent of an editor’s job. But that doesn’t mean AI won’t change a lot of the work that remains.
“Artificial neural networks are advancing rapidly in their ability to synthesize content — including images, videos, and texts — that are increasingly indistinguishable from authentic content.”
At Georgia Tech’s Computation + Journalism Symposium, representatives from both fields explored what the vibrant news information environment might look like.
As algorithms play an ever-larger role in how we get news and information, it’s important to realize the ways that bias — intentional or not — can seep into their decisions.
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Diakopoulos, Nicholas. "Nick Diakopoulos: Understanding bias in computational news media." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 10 Dec. 2012. Web. 19 Oct. 2024.
APA
Diakopoulos, N. (2012, Dec. 10). Nick Diakopoulos: Understanding bias in computational news media. Nieman Journalism Lab. Retrieved October 19, 2024, from https://www.niemanlab.org/2012/12/nick-diakopoulos-understanding-bias-in-computational-news-media/
Chicago
Diakopoulos, Nicholas. "Nick Diakopoulos: Understanding bias in computational news media." Nieman Journalism Lab. Last modified December 10, 2012. Accessed October 19, 2024. https://www.niemanlab.org/2012/12/nick-diakopoulos-understanding-bias-in-computational-news-media/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2012/12/nick-diakopoulos-understanding-bias-in-computational-news-media/
| title = Nick Diakopoulos: Understanding bias in computational news media
| last = Diakopoulos
| first = Nicholas
| work = [[Nieman Journalism Lab]]
| date = 10 December 2012
| accessdate = 19 October 2024
| ref = {{harvid|Diakopoulos|2012}}
}}