Artificial intelligence news is a growing field in which many of us live. AI is becoming an integral part of our daily lives — and is set to reshape the world around us.
Initially, the technology was used as a tool to automate certain tasks like data processing and document analysis. But its scope and effectiveness have grown significantly in the past few years largely due to newer learning algorithms, increased computational power and larger datasets. The 2020s saw deep learning algorithms become more popular and powerful, with the ability to perform tasks that were previously thought impossible by human intelligence. Deep learning was instrumental in advancing the field of medicine, for example, when it helped scientists identify proteins by analyzing large numbers of existing protein structures using large datasets.
Amid widespread hype, fear and hope, AI is transforming the world around us in both obvious and subtle ways. The technology is being used by businesses to create personalized copy and marketing campaigns, based on customers’ purchase histories or online behavior. It’s also being used by news organizations to help them produce and distribute more content, including breaking news stories, automated fact-checking, and predictive analytics to help inform coverage and improve the user experience.
But the impact of AI on journalism and our information environment (the public arena) will largely depend on how news organizations use it. It’s important that they prioritize greater rationalization and calculability of their work — but also that they take steps to ensure that they’re not simply tethered to platform companies, whose priorities may not align with those of journalism or the public.