Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news industry. This has initiated cross-functional collaborations between these professionals and journalists. While prior research has explored the impact of AI-related roles entering the news industry, there is a lack of studies on how cross-functional collaboration unfolds between AI professionals and journalists. Through interviews with 17 journalists, 6 AI technologists, and 3 AI workers with cross-functional experience from leading news organizations, we investigate the current practices, challenges, and opportunities for cross-functional collaboration around AI in today's news industry. We first study how journalists and AI professionals perceive existing cross-collaboration strategies. We further explore the challenges of cross-functional collaboration and provide recommendations for enhancing future cross-functional collaboration around AI in the news industry.

California lawmakers intend to shelve legislation that would have required Google to pay news outlets for distributing their content, and in its place announced a new public-private partnership between the state and the tech giant that will fund programs to research artificial intelligence and bolster local journalism. The plan lays out a commitment of nearly 250 million over the next five years, with one-fourth of the money coming from state taxpayers and three-fourths of it coming from Google and possibly other private donors. The money will go toward two new initiatives administered by UC Berkeley's Graduate School of Journalism: a fund to distribute millions of dollars to California news outlets, and an "AI accelerator" to develop ways for journalists to use the powerful technology. "This agreement represents a major breakthrough in ensuring the survival of newsrooms and bolstering local journalism across California -- leveraging substantial tech industry resources without imposing new taxes on Californians," Gov. Gavin Newsom said in a statement. "The deal not only provides funding to support hundreds of new journalists, but helps rebuild a robust and dynamic California press corps for years to come, reinforcing the vital role of journalism in our democracy."

As the world turned digital, people were quick to drop their Sunday papers and pick up their smartphones for news. Advertisers followed suit as digital platforms became more valuable real estate than print newspapers, leaving California news outlets desperate to find ways to stay profitable and relevant. News outlets must spend at least 70% of the received funds on their staff. A second bill being considered by California lawmakers, Senate Bill 1327, would charge Amazon, Meta and Google a "data extraction mitigation fee" for data they collect from users. The funds would go toward supporting local newsrooms.

OpenAI and News Corp, the owner of The Wall Street Journal, MarketWatch, The Sun, and more than a dozen other publishing brands, have struck a multi-year deal to display news from these publications in ChatGPT, News Corp announced on Wednesday. OpenAI will be able to access both current and well as archived content from News Corp's publications and use the data to further train its AI models. Neither company disclosed the terms of the deal, but a report in The Wall Street Journal estimated that News Corp would get 250 million over five years in cash and credits. "The pact acknowledges that there is a premium for premium journalism," News Corp Chief Executive Robert Thomson reportedly said in a memo to employees on Wednesday. "The digital age has been characterized by the dominance of distributors, often at the expense of creators, and many media companies have been swept away by a remorseless technological tide. The onus is now on us to make the most of this providential opportunity."

It seems like every Z-list celebrity and reality star has a podcast these days, but can you tell what makes this one truly unique? Eagle-eyed viewers may have spotted that its co-host, Jake, appears a bit stiff and robotic - and it's not because he's camera shy. Jake is a fully artificial intelligence-generated avatar. Human podcast host Jakob Wredstrøm, who created Jake as a digital clone of himself, says his is the first AI podcast. Jakob Wredstrøm, the creator of the podcast Sound Connections, created an AI version of himself called Jake (pictured).

A case currently before the U.S. Court of Appeals must decide if artificial intelligences should have patent rights on processes they were used to design. Throwing a wrench into the works, OpenAI has announced that artists using its new DALL-E beta software can sell the work: "Starting today, users get full usage rights to commercialize the images they create with DALL·E, including the right to reprint, sell, and merchandise. This includes images they generated during the research preview." First, here's what DALL-E can do: OpenAI's press release for DALL-E 2 markets the advanced tech as a "powerful creative tool" that will speed up and inspire the creative process. But as some have already started to point out, the ability to commercialize DALL-E 2 will likely have a pretty major impact on creative industries -- and some of the resulting ramifications may not be good.

JournalismAI is a global initiative that aims to create opportunities for journalists and media organisations to come together and explore solutions to improve the future of journalism with AI. We are on a mission to inform media organisations about the potential offered by AI-powered technologies and to foster debate about the ethical, editorial, and social impact on AI for journalism. The work of JournalismAI is informed by the global survey that led to the publication of our report in November 2019: New powers, new responsibilities. The report suggests that AI is giving journalists significant new powers, but with those come editorial and ethical responsibilities. We see JournalismAI as a service to the news industry and everyone who's working in and around it.

In the media and communication industry, writers are frequently confronted with huge volumes of textual material. They are having significant difficulty extracting structured knowledge from these papers, and the text is being underutilized, perhaps leaving critical information unknown. Machine learning techniques can assist, but they require a thorough understanding of the information required and manual annotation of the corpus. Before going further, let's understand what annotation, types, and how it is helping machine learning models to perform accurately. Annotation is the process of labeling data which are in the form of image, video, text annotation, or object in order to use Machine Learning to train a model.

The Journalism AI report is based on a survey of 71 news organisations in 32 different countries regarding artificial intelligence and associated technologies. A wide range of journalists working with AI answered questions about their understanding of AI, how it was used in their newsrooms, and their views on the wider potential and risks for the news industry. What emerges from this research is that artificial intelligence (AI) is a significant part of journalism already but it is unevenly distributed. AI is giving journalists more power, but with that comes editorial and ethical responsibilities. The future impact of AI is uncertain but it has the potential for wide-ranging and profound influence on how journalism is made and consumed.

This year, the iPhone turned 10. Its launch heralded a new era in audience behavior that fundamentally changed how news organizations would think about how their work is discovered, distributed and consumed. This summer, as a Knight Visiting Nieman Fellow at Harvard, I've been looking at another technology I think could lead to a similar step change in how publishers relate to their audiences: AI-driven voice interfaces, such as Amazon's Alexa, Google's Home and Assistant, Microsoft's Cortana, and Apple's upcoming HomePod. The more I've spoken to the editorial and technical leads building on these platforms in different news organizations, as well as the tech companies developing them, the more I've come to this view: This is potentially bigger than the impact of the iPhone. In fact, I'd describe these smart speakers and the associated AI and machine learning that they'll interface with as the huge burning platform the news industry doesn't even know it's standing on.