At the St Petersburg International Economic Forum (SPIEF) 2026, India Today Group vice-chairperson and editor-in-chief Kalli Purie argued that artificial intelligence should support, not replace, newsroom judgment, according to India Today. Purie said that "newsrooms do moderation and calibration" while "algorithms do not do that because they are based on values of profit and engagement," and described an India Today initiative called "handmade by editors and reporters" intended to emphasise original reporting. The session, titled "The Limits of AI in the Media," also included Maria Zakharova of the Russian Foreign Ministry, who, per India Today, said AI should remain a tool that supports human abilities rather than replaces them.
What happened
At the St Petersburg International Economic Forum (SPIEF) 2026, India Today Group vice-chairperson and editor-in-chief Kalli Purie spoke on the role of artificial intelligence in journalism, according to reporting by India Today. Purie said, "Newsrooms do moderation and calibration. Algorithms do not do that because they are based on values of profit and engagement." Per India Today, Purie described an India Today initiative called "handmade by editors and reporters", saying it was created as an "opposite to the lazy journalist" and as a subsection focusing on what reporters saw and heard rather than producing what she characterised as more vanilla reports. The panel, titled "The Limits of AI in the Media," included Maria Zakharova, who, according to India Today, argued that AI should support human abilities rather than replace them.
Editorial analysis - technical context
Industry-pattern observations: Newsrooms and platform-driven algorithms apply different optimization objectives. Algorithms on social platforms optimise for engagement and retention, which can amplify sensational or short-form content. Newsroom workflows instead centre human verification, source cultivation, and editorial calibration. For practitioners, this distinction affects tooling choices: teams building newsroom automation typically prioritise provenance tracking, provenance-aware retrieval-augmented-generation, and human-in-the-loop review pipelines rather than pure engagement metrics.
Context and significance
The comments at SPIEF reflect an ongoing public debate about balancing automation with editorial oversight. Media organisations that publicly foreground human-led verification and labelled reporter-produced pieces are signalling an emphasis on traceability and accountability in reporting. For ML engineers and product teams working with publishers, these priorities translate into demand for integrated fact-checking, explainability, and controls that surface provenance and confidence scores to editors.
What to watch
Observers should track three indicators: adoption of explicit provenance metadata standards by publishers; integration of human-review gates in newsroom ML tooling; and whether labelled initiatives like "handmade by editors and reporters" are accompanied by specific technical pipelines for verification and archiveability. If publicly available, specifications of those pipelines will be useful for practitioners designing analogous systems.
Scoring Rationale #
The story highlights important editorial and tooling priorities for newsrooms using AI, but it is not a technical breakthrough or major industry-shaking event. It is relevant for practitioners building verification, provenance, and human-in-the-loop systems for publishing.
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