International Press about AI

HOW ARTIFICIAL INTELLIGENCE CAN SAVE JOURNALISM

5. 5. 2020 The future of journalism — and its survival — could lie in artificial intelligence (AI). AI refers “to intelligent machines that learn from experience and perform tasks like humans,” according to Francesco Marconi, a professor of journalism at Columbia University in New York, who has just published a book on the subject: Newsmakers, Artificial Intelligence and the Future of Journalism.

HOW ARTIFICIAL INTELLIGENCE IS IMPACTING NEWSROOMS, JOURNALISTS AND MEDIA.

2. 5. 2020: Written content — texts, documents, chats — is crucial in understanding how we operate and is, I believe, essential to eventual creation of Artificial General Intelligence. That’s why for the past year I’ve been researching how AI can be applied to journalism. This text summarises some of my recent findings.

AI CAN NOW WRITE AMAZING CONTENT. WHAT DOES THAT MEAN FOR HUMANS?

29. 3. 2019: If you believe anything can and will be automated with artificial intelligence (AI), then you might not be surprised to know how many notable media organizations including The New York Times, Associated Press, Reuters, Washington Post …

THE RISE OF THE ROBOT REPORTER

5. 2. 2019: As reporters and editors find themselves the victims of layoffs at digital publishers and traditional newspaper chains alike, journalism generated by machine is on the rise.

WE NEED TO TALK! ABOUT ARTIFICIAL INTELLIGENCE AND ETHICS IN JOURNALISM

1. 11. 2018: Year of Artificial Intelligence 2018: Elon Musk warns in Austin of the dangers of autonomous weapon systems — a few months later the Cambridge Analytica scandal shakes the world. There are people out there who say that the unethical

WHY JOURNALISTS NEED TO UNDERSTAND ARTIFICIAL INTELLIGENCE

4. 10. 2018: Journalists are reporting on a phenomenon that is hard to explain, even for experts in the field. And compounding matters, most of the important conversations are taking place behind closed doors …

How Innovative Newsrooms Are Using Artificial Intelligence

22. 1. 2019: Many large newsrooms and news agencies have, for some time, relegated sports, weather, stock exchange movements and corporate performance stories to computers. Surprisingly, machines can be more rigorous and comprehensive than some reporters. Unlike many journalists who often single-source stories, software can import data from various sources, recognize trends and patterns and, using Natural Language Processing, put those trends into context, constructing sophisticated sentences with adjectives, metaphors and similes. Robots can now convincingly report on crowd emotions in a tight soccer match.