#3 Too Many Documents, Too Little Time: How iTromsø Saved 80% of Research Time with AI. Lars Giske

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:
✅ The real problem behind FOIA delays and public archives
✅ How Djinn works to identify relevant stories in real time
✅ Why involving journalists from day one made all the difference
✅ What happened when they scaled the tool across Polaris Media
✅ How AI is changing investigative journalism, ethics, and newsroom stress
✅ Why the human element will always matter — even in an AI-driven future

🎙️ 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:
Journalists face massive time waste from public document review
AI can cut research time by up to 80%
Localized AI models increase accuracy
Trust, ethics, and collaboration matter more than ever
Journalists aren’t being replaced — they’re being empowered
The human judgment behind every story is still irreplaceable

⏱️ 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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