Good News For The Brutish
*Researchers at Carnegie Mellon University have come up with AI software that can make your writing sound a lot more polite.
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To school their AI in the fine art of etiquette, the team used a half million exceedingly polite messages exchanged by Enron employees.
“Despite the company’s wrongdoing, many of the emails exchanged between employees were — unsurprisingly, if you’ve ever worked in a large corporation — laden with common niceties and politely formed requests and responses,” observes Techcrunch writer Darrell Etherington.
In other AI-generated writing news:
*AI Software Simplifies Radiology Report Writing: AI writing firm Agamon just snagged $3 million in new funding for software that simplifies reports written by radiologists.
The tool is designed to massage writing by radiologists so that is clearer and easier to understand.
Plus, it could help insulate them from communication-related lawsuits.
“In making its case, Agamon on its Website claims that 25% of radiologists in the U.S. are involved in at least one communication-related lawsuit,” observes Radiology Business writer Marty Stempniak. Plus, “upward of 96% of radiology reports are not understood by the average adult,” Stempniak adds.
*Machines + Media: How Tech is Changing Media: Some key players in media are featured in this one-hour YouTube video, examining tech’s impact on media.
Part of an upcoming video series this summer, the program delves into how AI, machine learning, computer vision and related tech is changing the face of journalism and related media.
“Machines are now part of our media landscape,” says Steven Rosenbaum, managing director, NYC Media Lab.
“So understanding them and finding solutions to make them a force for good is at the core of everything we’re exploring on Machines + Media in the weeks to come,” Rosenbaum says.
The Machines + Media video series is being produced by Bloomberg and NYC Media Lab.
*How One AI-Generated News Service Got it’s Start: Gary Rogers, co-founder of automated news service Radar, says the growing availability of torrents of data from government databases inspired him to experiment with AI-generated writing.
“We could see there was so much data becoming publicly available from the police, the NHS, Public Health England and so on.
“It was just sitting there and never touched.
“We realized very quickly that instead of one story about crime figures, you could easily do it at a borough-by-borough level — and get 33 stories out of it.”
These days, Radar regularly auto-produces thousands of news stories each month using templates and public databases.
The service is currently squired by six journalists, who create AI story templates that reach down into British databases to populate those templates with hyperlocal data....
