Research in the
public conversation.

The question behind AI panic: What happens to me if it works?

AI at work: incentives, trust and job security

Why employees may hesitate to reveal AI productivity gains when their jobs could change.

By Christoph Trattner

Ledere trenger ærlige svar om bruk av KI

Making honest AI disclosure part of quality control

Leaders need clear accounts of how AI contributed and how results were checked. Approved tools, open discussion and time for verification make that possible.

By Christoph Trattner

Universities measure almost everything – except leadership

Assessing what academic leadership enables

Academic leadership needs evidence of how people develop, teams work and shared capability endures. An argument for evaluating leadership in practice alongside research achievement.

By Christoph Trattner

Redaksjonen må eie arbeidsflyten, ikke bare testen

A response from Fjell-Ljom’s editors

Responding to my article on testing newsroom AI, Fjell-Ljom’s editors describe why control over workflows, data and repeatable evaluation matters alongside model performance.

By Iver Waldahl Lillegjære and Liv Maren Mæhre Vold · Response to my article

Disse nyhetene klikker vi mest på

How headline framing shapes the reading experience

Our RecSys study explores whether AI-assisted headline reframing can reduce perceived polarization and negative emotion. This article explains the findings, their limits and why editorial checking remains essential.

By Christoph Trattner

Redaktørene må kunne teste KI-en de kjøper

Making the ability to test AI part of newsroom procurement

Newsrooms need to test AI tools on their own journalistic tasks, document failures and repeat evaluations when systems change. The ability to investigate performance should come with the purchase.

By Christoph Trattner

Read the published response from Fjell-Ljom’s editors →

Keep AI-augmented science contestable

Keeping AI-assisted research open to scrutiny

As AI takes on a greater role in research, scientists need to be able to inspect, challenge and correct its contributions. An editorial on preserving scrutiny and accountability in AI-assisted science.

By Christoph Trattner

Academia needs a reset button on its power structures

Distinguishing academic achievement from the right to lead

Research achievement, leadership competence and institutional power are different things. Universities need open competition and meaningful leadership assessment to give new voices a fair chance.

By Christoph Trattner

KI kan skrive saken. Hvem lærer å vurdere den?

How will new journalists learn to judge AI-written work?

When AI writes the first draft, newsrooms still need a plan for developing the judgement required to check it. Editors should ask what each automated task used to teach new colleagues—and how they will gain that experience now.

By Christoph Trattner

Forskjellen på kalkulatoren og KI

Why AI is not just another calculator

Doing better with AI is not the same as retaining the skills needed to check its answers. An argument for keeping the human part of the thinking visible.

By Christoph Trattner

Hva har KI-eksperten egentlig gjort?

What has the AI expert actually done?

Journalists need more than an “AI expert” label. I argue for naming the work behind an expert’s claims and making the limits of that expertise explicit.

By Christoph Trattner

Hva skal KI-generasjonen gi videre?

What will the AI generation pass on?

Today’s students will teach tomorrow’s professionals. Schools need to assess both what learners produce with AI and what they can understand and do on their own.

By Christoph Trattner

Når pasienten sier «ChatGPT sa …»

When a patient says “ChatGPT told me…”

An opinion piece on AI-generated health advice and the importance of discussing chatbot use in clinical consultations, drawing on research into the reliability of AI-generated nutrition information.

By Christoph Trattner

Nyhetsbilder trenger en innholdsdeklarasjon

News images need a record of their origins

Photojournalist Nora Savosnick responds to my article on content credentials, arguing for provenance information that follows news photographs all the way to readers.

Response by Nora Savosnick

Hvor hardt skal vi dytte på leseren?

How hard should we nudge the reader?

A changed news feed can change clicks without changing interests. Responsible recommendation should help readers discover more while respecting their decision to say no.

By Christoph Trattner

Hva er saltet i journalistikken?

When provenance becomes a seal of approval

Content credentials document where an image came from. That is not the same as proving a news source deserves our trust. The distinction matters for readers and newsrooms.

By Christoph Trattner

Norge gjorde det mindre attraktivt å bli forskergründer

Making research entrepreneurship worth the risk

An argument for aligning researchers’ risk, control and rewards when universities seek to turn research into new companies.

By Christoph Trattner

Innovasjon stopper i overgangene

Innovation stalls between research and use

Promising research can lose momentum between a project, a prototype and everyday use. Shared ownership and sustained collaboration need to survive those transitions.

By Christoph Trattner

KI gjør innhold billigere – og tillit dyrere

AI makes content cheaper, and trust more costly

Labelling synthetic material is only part of the task. Journalism also needs ways to make authentic content traceable when it travels beyond a publisher’s own platform.

By Christoph Trattner

KI gjør teksten til et dårligere mål på hva studenten kan

When better writing reveals less about learning

AI-assisted work can look excellent without revealing what its author understands. Assessment needs to distinguish polished output from independent capability.

By Christoph Trattner

Vi krever pedagogisk kompetanse. Hvorfor ikke lederkompetanse?

Why not require leadership competence?

Universities prepare academics to teach. Leadership also needs preparation before people take responsibility for staff, budgets and institutional direction.

By Christoph Trattner

Høyere utdanning er ikke et sidespor i forskningspolitikken

Higher education belongs at the heart of research policy

Students, researchers and lasting institutional knowledge are part of the infrastructure that turns research into value. Innovation policy should not separate them from the research it funds.

By Christoph Trattner

Det er ikke søknaden som er forskningen

The application is not the research

AI-polished applications make it more important to separate the quality of a scientific idea from the quality of its written presentation.

By Christoph Trattner

Gjør KI virkeligheten uklar?

How AI-edited images shape trust

An interview in Studvest’s expert-explainer series on image manipulation, media literacy and how people judge the information they encounter.

Trym Larsen · interview with Christoph Trattner

Det hjelper lite å lokke med følelser for å få oss til å lese andre nyheter enn vi vanligvis gjør

Coverage of research by Trattner, Jia Hua Jeng and Alain Starke on sentiment and reader responses to climate news.

By Øystein Rygg Haanæs

Nye oppskrift-funn: - Veldig leit

Reporting on the Nature Food study of 600 dinner recipes from Norway, the UK and the US, examining their healthiness and environmental impact.

By Angelica Hagen

Health and sustainability of everyday food

A separate News & Views article discusses recipe analysis and cites the Nature Food research by Angelsen, Starke and Trattner.

By Chloe Clifford Astbury

Kunstig intelligens kan trenge hjelp fra presseetikken

What AI can learn from journalism ethics

An earlier argument for using professional journalism ethics to guide the design and evaluation of responsible AI, without reducing ethics to a checklist.

By Christoph Trattner

Kunstig intelligens skal gi deg sunn føde i feeden

A profile connecting Trattner’s food-recommendation research with the development of responsible recommendations for news and other media.

By Universitetet i Bergen

What online data say about eating habits

A News & Views commentary on how online behaviour can help explain shifts towards diets with smaller environmental footprints.

By Christoph Trattner and David Elsweiler

Artificial intelligence suggests recipes based on food photos

MIT News quoted Trattner on the potential of image-based recipe retrieval for nutrition tracking and cooking support, discussing MIT and QCRI's Pic2Recipe research.

By Adam Conner-Simons and Rachel Gordon

3 Dinge, die ihr über Online-Rezepte wissen müsst

An accessible account of the online-recipe study, examining nutrition, user ratings and recommendation, with Trattner quoted and identified as a study author.

Publisher: BAYERN 3 / Bayerischer Rundfunk

Onlinerezepte: beliebt, aber ungesund

Reporting on Trattner and colleagues’ research into the nutritional quality and popularity of online recipes, including how recommendation algorithms can promote healthier choices.

By Gabriele Kuhn

Buch gegen Internet: Online-Rezepte sind ungesünder

Coverage of the study comparing the nutritional quality of online recipes, cookbook recipes and ready meals, and the implications for recipe recommendation.

By idw, red