by Nikita Roy
Looking to explore the intersection of AI and journalism? Influential thought leaders in the industry join data scientist and media entrepreneur, Nikita Roy, each week to explore what's next with AI and its implications for the media landscape. In each episode, industry experts discuss how automated newsrooms have the potential to change journalism and uncover opportunities to optimize workflows and increase efficiency without compromising journalistic integrity.<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
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4/7/2023
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March 18, 2025
Nikita Roy interviews Kasper Lindskow, Head of AI at JP/Politikens Media Group, about building a scalable AI infrastructure that balances innovation with editorial values in this interview.
March 3, 2025
<p>Imagine a newsroom where AI agents assist with reporting, actively surface leads, analyze government data, and help journalists navigate complex investigations in real time. Norway’s iTromsø is laying the groundwork for exactly that.</p><br><p><br></p><p>In the second part of this episode with Rune Ytreberg, head of data journalism at iTromsø, and Lars Adrian Giske, head of AI join host Nikita Roy to share how their small but ambitious newsroom is systematically building an infrastructure for AI-powered journalism. This isn’t just about isolated tools—it’s about creating a cohesive ecosystem where AI enhances reporting at every level.</p><br><p><br></p><p>Rather than simply bolting AI onto existing workflows, iTromsø is focused on building a structured data infrastructure that supports AI agents across multiple newsroom functions.</p><br><p><br></p><p>Their vision includes:</p><ul><li>A centralized AI-powered data interface that allows journalists to filter, analyze, and cross-reference government records, public documents, and municipal archives.</li><li>Automated news alerts that notify reporters when AI detects important patterns or anomalies in the data.</li><li>A structured repository of historical data, ensuring journalists have context-rich information at their fingertips, allowing for deeper investigative work.</li></ul><p><br></p><br><p>This structured approach isn’t just about efficiency—it’s about creating a foundation where AI can play an active role in surfacing critical stories.</p><br><p><br></p><p>iTromsø is designing an AI-ready newsroom—one where structured data, automated insights, and AI-assisted research come together to elevate investigative journalism.</p><br><p><br></p><p>Sign up for the <a href="https://www.newsroomrobots.com/" rel="noopener noreferrer" target="_blank">Newsroom Robots newsletter</a> for episode summaries and insights from host Nikita Roy.</p><br /><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
February 18, 2025
<p>Translating a journalist's gut instinct into code—is it possible? In Norway, iTromsø—a long-standing regional newspaper known for its investigative journalism and deep local coverage—has found a way.</p><br><p><br></p><p>Their AI system, DJINN (Data Journalism Interface for News Gathering and Notification), acts like an experienced beat reporter, scanning hundreds of municipal documents and surfacing the most newsworthy leads. The impact? In their first week using DJINN, summer interns fresh out of journalism school produced five front-page stories—on a beat that usually takes years to master.</p><br><p><br></p><p>In this episode of Newsroom Robots, I spoke to Rune Ytreberg and Lars Adrian Giske about iTromsø’s structured approach to AI-driven reporting and how they built tools that strengthen their local journalism.</p><br><p><br></p><p>Rune leads iTromsø’s data journalism lab, where he has been developing AI-driven editorial solutions for 70 local newspapers within the Polaris Media Group since 2020. And Lars is the Head of AI at iTromsø and led the development of DJINN. Since its launch in 2023, 36 newspapers across Norway have adopted DJINN, sourcing documents from nearly half of all Norwegian municipalities.</p><br><p><br></p><p>Key topics include:</p><p>•How a small newsroom built AI tools to strengthen investigative journalism </p><p>•Why their AI systems are designed for specific beats like urban planning and fisheries, reducing hallucinations and increasing precision.</p><p>•Embedding editorial expertise in AI development </p><p>•How their fisheries database flagged irregularities and how their urban planning system transformed local accountability coverage.</p><br><p><br></p><p>This is just Part 1 of our deep dive into how iTromsø is using AI to power investigative reporting. In Part 2, Rune and Lars will discuss their latest project: AI-powered research assistants that will proactively surface investigative leads for their journalists.</p><br><p><br></p><p>Sign up for the <a href="https://www.newsroomrobots.com/" rel="noopener noreferrer" target="_blank">Newsroom Robots newsletter</a> for episode summaries and insights from host Nikita Roy.</p><br /><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
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