Accountability

who takes responsibility for ai use or when things go wrong

When AI is part of the work, it is not always clear who answers for the result. This card is about who takes responsibility for AI use and for what happens when something goes wrong. A team pauses here because in journalism someone has to stand behind what is published.

Questions to explore

// use these as prompts in a workshop or on your own. There are no right answers.

Who is responsible when AI contributes to a published piece that turns out to be wrong?
How do you make sure a person, not a tool, owns each final decision?
What would your response be if an AI error caused real harm to a source or reader?
Where does responsibility sit when several people and tools touched the same work?
How do you explain to your audience who stands behind AI-assisted work?

Expert voices

// notes from the journalists and AI experts who helped shape this kit

“Who holds ultimate responsibility for content when AI was used for transcription, dubbing, or information gathering? Newsrooms may need dedicated AI check teams.”

Anastasiia Korinovska, Suspilne

“Be clear about who is responsible for the output. The answer is you, not the tech.”

Martin Schori, Aftonbladet

“Who takes responsibility when AI makes an error or causes harm?”

Steffen Leidel, DW Akademie

“Who maintains and updates your organizational AI guidelines? Policies need an assigned owner.”

Bahia Albrecht, DW Akademie

Things to consider

A tool cannot be held accountable, so a person always has to be.
Shared work still needs a clear owner for the final result.
Deciding who answers before a problem happens is easier than deciding after.

using this card

Pull Accountability when it is relevant and set it aside when it is not. Pair it with the other AI Conversations cards, lay them out on a table, and use the questions above to get everyone on the same page. Capture what you discuss on sticky notes or in a shared doc.