*AI-generated writing is poised to make a significant impact on journalism, according to an article published by the Russian news agency Tass.
“The use of artificial intelligence in preparing news reports is still at the earliest stage of its development,” says Yong Huang, director general of China’s Xinhua Europe Regional Bureau.
“But we are convinced that it will seriously influence the development of journalism and will help news agency employees to do their work faster and better.”
Huang and top news directors offered their perspectives on AI-generated writing at the 6th News Agencies World Congress.
In other AI-generated writing news:
*Weaponizing AI: Creating Fake News with a Click: Researchers at the world’s top artificial intelligence labs are honing technology that can mimic how humans write, which could potentially help disinformation campaigns go undetected by generating huge amounts of subtly different messages, The New York Times reports.
In recent months, two prominent labs — OpenAI in San Francisco and the Allen Institute for Artificial Intelligence in Seattle — have built particularly powerful examples of this technology. Both have warned that it could become increasingly dangerous.
*Key Player in AI-Generated Writing Integrates With Major Business Intelligence Dashboards: Arria NLG — an AI-generated writing toolmaker — can now auto-create text reports from popular business intelligence dashboards like Microsoft Power BI, Tableau, MicroStrategy and Qlik.
Essentially, the tech enables users to create text-based, analytic narratives from the data stored in these dashboards with the click of a mouse.
Arria’s platform enables us “to develop narratives on massive amounts of data,” says Adam Heitzman, managing partner, HigherVisibility, an Arria NLG user.
*Fake U.N. Speeches — Now a Snap with AI: Researchers from Global Pulse, a UN-initiative, have developed an AI algorithm that can generate fake U.N. speeches.
The algorithm was created to demonstrate how easy it is for AI to generate phony, yet convincing, political statements — seemingly from the U.N.
*A Primer: AI-Generated Writing in Journalism: Nick Diakopoulos, assistant professor, communication studies and computer science, Northwestern University, offers a 22-minute video primer on the current and future impact of artificial intelligence on journalism.
*AI-Generated Writing in Public Relations: A Detailed Gameplan: PR 20/20 offers an in-depth look into its new, AI-driven services — automated press releases, automated performance reports and AI workshops for its clients.
“We’re operating under the assumption that 80% of what we do every day at PR 20/20 will be intelligently automated to some degree in the next 3 – 5 years,” observes Paul Roetzer, CEO, PR 20/20.
*AI-Generated Writing: Pervasive in a Decade?: Most businesses – and probably most professionals who rely on writing in any way – will be using some form of AI-generated writing within the next ten years, according to Jensen Harris, CTO, Textio.
The company markets an AI tool designed to auto-generate nondiscriminatory job postings.
Specifically, Harris predicts AI-generated writing “will be overlaid onto word processing programs, mobile apps and Web sites – basically, anywhere writing takes place.”
*Meet Key Players in AI-Generated Writing: The upcoming Marketing Artificial Intelligence Conference will feature talks from a number of firms offering AI-generated writing services.
Prominent speakers include Jeff Coyle, co-founder, MarketMuse, Parry Malm, CEO, Phrasee and Paul Roetzer, CEO, PR 20/20 — a public relations firm with AI-generated writing at its core. The conference is slated for July 16 – 18 in Cleveland, Ohio.
*Global Editors Network Recognizes Best in Data Journalism: Twelve organizations won awards for outstanding work in data journalism — as judged by the Global Editors Network, an international association of 6,000+ editors-in-chief and media executives.
Similar to AI-generated writing, data journalism typically focuses on using AI or computer automation to dramatically visualize insights often hidden in dry data tables.
Less prevalent, although still significant, is the use of data journalism to create AI-generated writing.
*Perfect AI-Generated Text Summarization Still Elusive: Computer scientists are still grappling with designing an AI text summary solution that can be all things to all people, according to a recent research paper.
The problem’s root: Finding a precise definition of what should be included in a summary, according to a research team led by Abdelkrime Aries.
Essentially, different readers may be looking for different elements in a summary.
–Joe Dysart is a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.