
How can a small Local Newsroom in Northern Norway take on one of Investigative journalism’s biggest challenges — and win?
In this episode, we talk with Lars Adrian Giske, Head of AI at iTromsø, about how his team built Djinn — the Data Journalism Interface for News Gathering and Notification. This AI-powered tool is transforming how journalists work by surfacing the most newsworthy content from massive piles of public documents.
From document overload to AI-powered discovery, Lars shares:
Hosted by Nils Ove Håland Riise, this conversation dives deep into the future of data-driven journalism, transparency in media, and the rise of AI in local newsrooms — with real-world results that are nothing short of amazing.
Key Takeaways:
Chapters:
00:00 – The Challenge of Document Overload
06:05 – Introducing AI in Journalism
12:02 – Building the DJINN Platform
17:49 – Scaling DJINN Across Newsrooms
23:56 – AI’s Role in Investigative Journalism
30:13 – Impact on Storytelling and Transparency
40:29 – The Role of AI in Journalism
44:31 – Human Element in Journalism
48:43 – Expanding AI Solutions in News
52:07 – Human in the Loop: Balancing AI and Journalism
56:55 – Short-Term Outlook on AI in Journalism
01:01:26 – Future of AI Agents in News
01:04:22 – Ethics and Technology in Journalism
01:08:31 – Reflections on the Journey with AI
01:14:35 – Navigating US Tech Influence on European Journalism
AI in journalism, data-driven journalism, news gathering, investigative journalism, Djinn platform, iTromsø, local news innovation, transparency in media, machine learning, public documents, human element, ethical journalism, AI agents, media innovation, journalism challenges, data-driven news, future of journalism, newsroom AI
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Where can you reach Lars Adrian Giske:
Email: giske@itromso.no
Linkedin: https://www.linkedin.com/in/lars-adrian-giske-8a277576/