If AI becomes very important, the news might change a lot. People who report the news and journalists have a big concern because their jobs may end badly because of technology or unfortunate events.
Is this claim really true? Can AI take over these jobs quickly?
Professor Charlie Beckett, who runs the Polis/LSE Journalism AI research project, has warned journalists to be careful when using new tools without someone overseeing it.
AI helps professionals and creatives do their work faster and better, but it doesn’t replace them completely. It gives them tools that make their job easier so they can focus on doing what they do best.
Regular journalism has mistakes, but we correct them by editing. The same thing goes for artificial intelligence. Make sure you understand the tools you are using and the dangers. “Be careful not to think too highly of technology.”
Artificial intelligence news has many benefits. It is not biased and delivers news faster, more accurately, and with more details.
Reporters can examine huge quantities of facts and details by using computer programs that learn on their own, uncovering connections and ideas that might not be visible otherwise.
The future of journalism is changing with more in-depth stories coming to light thanks to reporters who investigate complex issues that may have gone unnoticed before.
However, there are also negative effects of artificial intelligence which are not well-known. As more algorithms and machines are used in journalism, people are starting to doubt if the news can be trusted.
The increase of artificial intelligence in journalism also brings up concerns about job security and the risk of bias in the data it uses to produce news.
Some people are scared that machines will take over the boring parts of journalism and replace human reporters with emotionless algorithms.
Computers are getting better at making news, which makes it harder to tell if it was made by a person or a machine. This makes it difficult for reporters to do their job well.
Slavica Ceperkovic is a professor who teaches interactive media at New York University Abu Dhabi. She knows all about how media is getting better.
She said to The National that her students are learning to make new worlds in augmented and virtual reality. They are getting used to the new technology changes.
They use Notion and Discord to help them work together and learn online. These are tools that use AI (Artificial Intelligence) technology.
Also, they don’t separate data based on how it’s presented – like short videos on TikTok, which is becoming very popular quickly.
No one knows what will happen to journalism in the future, but we do know that AI will be important in how it changes.
We don’t know yet if it will be good or bad. As journalism progresses, writers and news organizations must be careful.
They should use new technology but still stick to the main rules of truth, accuracy, and fairness that have always been important in journalism.
News companies have been experimenting with the use of artificial intelligence to assist in creating news articles for a long time. Francesco Marconi says there have been three big changes in AI in the last ten years.
The first was making AI, the second was making it do things by itself, and the third was making it better by working with humans.
He said, “At first, they worked on writing news stories using computers and software. They focused on writing reports about things like money, sports, and the economy.”
Many media companies, big and small, use machines to share the news. Some examples are Reuters, AFP, and AP.
Marconi said the second wave started when people started using computers to help analyze big sets of information and find patterns. They used things like machine learning and natural language processing to do this.
The Argentinian newspaper La Nación started using computers to help its news team in 2019. They even created a lab where experts in data and design work together to study this technology.
A computer program called Generative AI is the newest and most important type of technology. Big language models are in charge of creating lots of story text.
This new improvement helps news broadcasters in ways that are more than just using machines to create reports and analyze data.
We can have a chatbot write a longer article or opinion piece from a certain viewpoint. We could ask for it to be written by a famous author or in a popular way.