Training & Support
how you train, learn and troubleshoot ai use
Tools change faster than skills. This card is about how people in the newsroom learn to use AI, where they turn when something breaks, and how new staff get up to speed. A team pauses here when use is spreading but no one is sure who knows what.
Questions to explore
- How does someone in your newsroom learn to use a new AI tool today?
- Where do people go when an AI tool gives a wrong or confusing result?
- Which roles need training that they are not currently getting?
- How do you share what one person has learned so the whole team benefits?
- What does good support look like for staff who are unsure about AI?
Expert voices
“Show possibilities before risks. Training engages people better when it sparks curiosity rather than anxiety about AI.”
“Mentorship needs structure: do we have a system in place to teach young journalists how to use AI in the newsroom?”
“Conversations about AI in journalism need a run-up of clarification. Build a shared vocabulary first, a common linguistic framework, so journalists with limited AI experience can even describe what they want.”
“A closed sandbox does double duty: it removes the cost barrier of multiple paid accounts and gives people a safe space to experiment without exposure.”
Things to consider
- Informal learning between colleagues is real training and worth supporting.
- Gaps in support often show up first in the work of people who ask the fewest questions.
- Skills built around one tool may not carry over when the tool changes.
Pull Training & Support 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.
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