"Jeg tror, at de klassiske nyhedsformater er ved at ændre sig. For at holde på de unge nyhedsbrugere må nyhedsorganisationer tænke i utraditionelle baner og bruge AI-personliggjorte algoritmer for at holde på deres unge publikum. Herudover er det uundgåeligt at tale om chatbots indflydelse på nyhedsproduktionen. Der var et før og et efter ChatGPT, også i journalistik, og det er derfor vigtigt at undersøge, hvilke implikationer, det har, for journalistiske jobs, professionel journalistiske værdier og på journalisternes overordnede jobtilfredshed.”

—Selma Marthedal

"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. AI can free up journalists to work on creating better journalism at a time when the news industry is fighting for economic sustainability and for public trust and relevance. It can also help the public cope with a world of news overload and misinformation and to connect them in a convenient way to credible content that is relevant, useful and stimulating for their lives."

—JournalismAI

"Good Tape’s mission is to let you focus on what matters most by providing the best transcription service possible. We offer a simple and user-friendly path to turning audio files into precisely transcribed text. Our tech-driven solution saves hours of tedious work, allowing you to use that time to, hopefully, make the world a better place."

—Zetland/Good Tape

“Og så er det min kæphest, at mediebranchen ikke skal ende som i halvfemserne, hvor man lod teknologiselskaber løbe med udviklingen. Vi har altid været og skal fortsat være teknologiselskaber, og det kræver, at vi tør lege med og er på udkig efter brugerbehov, vi kender, og som vi kan løse.”

—Tav Klitgaard

"If we are serious about benefiting from AI in an equitable manner, it is imperative that we adopt a power-conscious framing of global AI development and adoption."

—Mira Yaseen

"This study contributes with in-depth knowledge on how algorithmic news recommendation is adopted within the Scandinavian daily press and how notions of gatekeeping affect the use of these systems. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important editorial decisions."

—Lynge Asbjørn Møller

“Based on a reception analysis with in-depth qualitative interviews (N  = 12), this study explores how Danish radio listeners receive a full news broadcast read by a neural voice and perceive the credibility of the neural reader and the news content. Results show that the participants divide into two types: the perspicacious listeners who realize or suspect that the news reading is artificially synthesized and, to some degree, are annoyed by it, and the oblivious listeners who believe the news is read by a human and are predominantly positive towards it."

—L. Heiselberg, J. N. Blom & A. van Dalen