In order for newspaper organizations to process their business because gene ai threatens their life means

Hello and welcome to AI. In this edition … newspaper media is grabbing for AI; Trump orders us AI security efforts to divert to the fight against “ideological bias”; Distributed training increases the increasing tow; The increasingly powerful AI could specify the scale according to totalitarianism.

AI is potentially disturbing the business models of many organizations. In several sectors, however, the threat is seemingly existential as the news. This happens as the job I am in, so I hope you will forgive a somewhat complacent newsletter. But the news should be important for all of us because, by functioning a free press, he performs a key role in democracy – informing the public and helping to hold power. And, there are some similarities between how news leaders are – and critically, not – accepting the challenges and opportunities that AI represents and what business leaders in other sectors can learn.

Last week, I spent a day at the Aspen Institute Conference called “AI & News: Charting Course”, which hosted a Reuters headquarters in London. The conference was attended by top executives of numerous British and European newspaper organizations. It was held in accordance with Chatham House rules, so I can’t tell you who told you exactly, but I can convey what was said.

Tools for journalists and editors

News executives spoke about using AI primarily in an internally facing products to make their teams more effective. Ai helps write the title optimized on a search engine and translate content-poetically allowing organizations Reach a new audience In places that have not been used traditionally, although most emphasized that people in the loop are followed to monitor accuracy.

One editor is described by AI for automatic creation of short articles from a public press release, liberating journalists for more original reporting, while maintaining human quality control editors. Journalists also use AI for a summary of documents and analysis of large data sets – such as government landfills and satellite images – which allows research journalism that would be difficult without these tools. These are cases of good use, but they result in a humble influence – mainly that existing work flows make it more effective.

From below up or from below upstairs?

There was an active debate among the leaders and technicians of the editorial staff on whether to access newspaper organizations from below the up-to-make generative AI tools in the hands of each journalist and editor, allowing these people to launch their own data analysis or “Vibe at” Widgets with AI drive that will help them with their jobs or do the efforts should be from above down and manage priority to projects.

The upward approach has the merits-democratizes approach to AI, empowers the front of the front who often know the points of pain and can often notice good use cases before high-level executors, and releases limited talent for development programs AI that will only be spent on projects that are larger, more complex and potentially more important.

The lack of access from below is that it can be chaotic, which is difficult to ensure that the organization is difficult to respect ethical and legal policies. It can create a technical debt and the tools are built in flight that cannot be easily maintained or updated. One editor is concerned about the creation of a two -layer editorial board, and some editors have accepted new technology and the other behind. Finish upwards also does not ensure that solutions generate the best investment refund-key consideration because AI models can quickly become expensive. Many called for a balanced approach, although there was no consensus on how to achieve it. From the conversation I have conducted with the executors in other sectors, this dilemma is known in all industries.

Caution for pacling the trusts

The news departments are also cautious in the construction of AI tools facing the audience. Many have started using AI to make bullets of bullet articles that can help with a hectic and increasingly impatient readers. Some have built AI chatbots that can answer questions about a particular, narrow subgroup of their coverage – like stories About Olympics or climate change– But they are prone to marking them as “experiments” to help readers help the answers not always accurate. It went a little further in terms of content generated by AI. They worry that the hallucinations produced by Genu will undermine confidence in the accuracy of their journalism. Their brands and their jobs ultimately depend on this confidence.

Those who hesitate will be lost?

This caution, although understandable, is a colossal risk itself. If newspaper organizations do not use AI for news abstract and make it more interactive, technological companies are. People are increasingly turning to AI search engines and chatbots, including Beoplexity, Openai’s Chatgpt, and Google’s twins and “AI examinations” Google now provides in response to many searches and many others. Several news executives at the conference said that “DisterMediation” – a loss of direct connection with their audience – was their greatest fear.

They have to worry. Many newspaper organizations (including Wealth) are at least partially dependent on Google search to bring to the audience. Recent study of Tollbit—This sales software that helps protect websites from web Crawlers – guessed that the clicking speeds for Google AI examination were 91% lower than from the traditional Google Search. (Google has not yet used AI reviews to ask news, though many think it’s just a matter of time.) Other studies clicked prices from Chatbot conversation are equally rude. CloudflareWhat also offers to protect news publishers from scraping web, determined that Openai flowed the news 250 times for each examination page, he sent that page.

So far, news organizations have responded to this potentially existential threat to a mix of legal return – New York Times sued Openii for a copyright breach, while Dow Jones and New York Post They sued the confusion– And partnerships. These partnerships included many years, seven -digit news offers. (Wealth He has a partnership with confusion and budget.) Many of the executors at the conference have said that licensing contracts are a way to be revenue from the content that technological companies have most likely “stole”. They also saw partnerships as a way to build relationships with technological companies and exploit their expertise to help them build AI products or training their staff. No one saw relationships as a particularly stable. They were all aware of the risk of being overly relied on on the revenue of AI licensing, after being burned earlier when the media industry released Facebook to become the main driver of traffic and ad revenue. Later that money disappeared virtually overnight when Target Executive director Mark Zuckerberg decided, after the US presidential elections in 2016, to get news in people’s feeds.

Ferrari with AI drive attracted to a cart

The executives acknowledged the need for the construction of direct audience relations that could not interfere with AI companies, but few of them had clear strategies for it. One expert at the conference said “news does not take Ai seriously,” focusing on “incremental adjustment, not a structural transformation.” He compared the current approaches to the three -step process that had “Ferrari with a AI drive at both ends, but” horse and cart in the middle “.

He and another media industry advisor invited news organizations to get out of structuring their access to the news around “Articles”. Instead, they have encouraged news to think about how the original material (public data, transcripts of interviews, documents obtained from sources, raw videos, audio shots and archival news) could be turned into different Okastov results, short-form videos, bullet abstracts, or yes, Ai, in accordance with the release of edition. They also invited newspaper organizations to stop thinking about the production of news as a linear process, and began to think more about it as a circular loop, perhaps the one in which there was no man in the middle.

One person at the conference said news organizations should become less isolated and more closely observe insights and lessons from other industries and how they adapt to AI. Others said it could need startups – perhaps incubated by the newspaper organizations themselves – pioneers of new business models for AI Age.

The roles could not be higher. Although AI presents existential challenges to traditional journalism, it also offers unprecedented options for extending its reach and potentially re -connecting with the audience that “turned off the news” – if the leaders are enough bold to reconsider which news can be in AI ERI.

With that, here’s more news AI.

Jeremy Kahn
Jeremy.kahn@fortune.com
@Jyyakahn

Rectification: Last week edition of Eye on Ai wrongly identified the country where the seat of a trustpilot was. It’s Denmark. Also, the news in this edition was wrongly identified by the name of the Chinese startup behind the viral AI model manus. The starting name is the effect of butterflies.

This story is originally shown on Fortune.com

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