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.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.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.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.Key topics include:•How a small newsroom built AI tools to strengthen investigative journalism •Why their AI systems are designed for specific beats like urban planning and fisheries, reducing hallucinations and increasing precision.•Embedding editorial expertise in AI development •How their fisheries database flagged irregularities and how their urban planning system transformed local accountability coverage.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.Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

Neil Brown, president of The Poynter Institute and former chair of the Pulitzer Prizes, joins host Nikita Roy to discuss the Pulitzer Board's decision to require AI disclosure in prize submissions. In 2024, two Pulitzer Prize winners disclosed using AI in their work - City Bureau and Invisible Institute used machine learning to analyze police misconduct files for "Missing in Chicago," while The New York Times' visual investigations desk employed AI to identify bomb craters in Gaza. Of the 45 finalists that year, five had disclosed using AI in their submissions. In this episode, Brown discusses how the Pulitzer Board approached AI disclosure requirements and shares his perspective on technology's evolving role in journalism.Key topics include:The Pulitzer Board's approach to AI disclosure and transparencyHow newsrooms can bridge the divide between technical and editorial teamsWhy newsrooms need to take a longitudinal approach to technology adoptionThe importance of involving audiences in technological innovationLessons from journalism's digital transformation that apply to the AI eraSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

Upasna Gautam, Senior Platform Product Manager at CNN and Chair of the Board of Directors at the News Product Alliance, dives into the transformative role of AI in journalism. She introduces her three-question framework for AI integration and shares insights from building CNN's Stellar platform. Key highlights include empowering editorial teams, fostering collaboration to build trust, and practical strategies for AI implementation in resource-constrained newsrooms. Gautam also discusses evolving content management systems and the critical balance between technology and journalistic integrity.

Agnes Stenbom, Sweden’s AI Person of the Year and Head of IN/LAB at Schibsted Media, discusses innovative approaches to journalism. She talks about transforming news into rap music to engage younger audiences and leveraging AI for personalized news experiences. Stenbom shares insights on ethical AI use and the challenges of fostering newsroom culture to embrace technology. She also emphasizes the importance of inclusion and collaboration in reshaping journalistic practices across the Nordic region.

Ritvvij Parrikh, Senior Director of Product at Times of India, joins host Nikita Roy to discuss how AI-powered personalization is transforming news distribution and why newsrooms need to rethink their approach to revenue optimization.Parrikh, who leads product development at India's largest English-language news organization, discusses their innovative approach to news personalization that increased click-through rates by 85% on web and 40% on mobile. His team developed a proprietary recommendation system that automatically optimized content distribution for individual readers. As an industry thought leader, Parrikh has been instrumental in demonstrating how newsrooms can build AI systems that balance editorial judgment with reader preferences while maintaining journalistic integrity.Key topics include:Building newsroom-specific recommendation systems that understand news cyclesThe critical importance of real-time data infrastructure for modern newsroomsWhy newsrooms should master focus on building the operational infrastructures to power AISign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

Martin Schori is the Deputy Managing Editor and Associate Publisher at Aftonbladet, Sweden’s largest newspaper. He discusses Aftonbladet’s cutting-edge AI hub, which has transformed editorial workflows and enhanced reader engagement through initiatives like an EU election chatbot. Schori shares insights on analyzing gender representation in news coverage using AI and tackles the ethical challenges of integrating technology into journalism. His experience highlights the pivotal role of AI in evolving storytelling and audience interaction.

Dive into the intriguing world of AI in journalism! Discover ethical dilemmas and practical tools that can bolster newsrooms. Learn about innovative tech like Perplexity, OpusClip, and Google’s Pinpoint that enhance research and content creation. Hear insights on building AI literacy and partnerships between publishers and tech firms. Explore exciting opportunities for journalists in an AI-driven landscape, and get ready for the future of news with a focus on upskilling and robust data infrastructure.

Anna Eshoo, a prominent U.S. Congresswoman with over three decades in tech policy, dives into the complexities of AI regulation. She discusses the troubling trend of AI models training on news content without compensation, jeopardizing journalism's future. Eshoo highlights bipartisan efforts in Congress to democratize AI while addressing misinformation fueled by generative AI. She also raises vital concerns about job displacement and emphasizes the need for transparency in AI to build public trust and adapt to rapid technological changes.

Natali Helberger, Professor of Law and Digital Technology at the University of Amsterdam, joins host Nikita Roy to explore the complex ethical landscape of AI in journalism. In this conversation, they discuss everything from recommendation algorithms and filter bubbles to the EU AI Act and the future of responsible AI adoption in media.Recognized as one of the "100 brilliant women in AI ethics" to follow worldwide, Helberger is also the co-founder of the AI Media and Democracy lab at the University of Amsterdam. Her research focuses on how AI and algorithms are transforming society and the media, with implications for law and governance. Helberger chairs the Council of Europe Expert Group on AI and Freedom of Expression and serves on the advisory board of the Reuters Institute for Journalism at Oxford. She regularly advises national and European policymakers, including the European Commission, European Parliament, and UNESCO. Key topics include:The ethical challenges of AI-driven personalization in newsThe importance of audience inclusion and feedback in AI systems for newsThe limitations of simply labeling content as "AI-generated" and the need for more meaningful transparencyAn analysis of the EU AI Act and its implications for media companiesSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

Garance Burke, a global investigative journalist at the Associated Press, joins host Nikita Roy to discuss the crucial role of journalism in holding AI systems accountable and the challenges reporters face in covering this complex topic. Burke, a global investigative journalist with The Associated Press, has been at the forefront of investigating the power and impact of AI technologies on society. Her data-driven reporting has prompted federal investigations, cabinet-level resignations, and congressional hearings. Burke's Pulitzer Prize-finalist work inspired an Emmy-winning documentary with FRONTLINE PBS. As a 2020 Human-Centered Artificial Intelligence-John S. Knight Journalism Fellow at Stanford, she researched algorithms in government decision-making. Burke also led the development of the AI chapter in the AP Stylebook,  which provides journalists with best practices for covering AI models. Key topics include:Investigating algorithmic bias and the data behind AI systemsStrategies for reporting on AI's deployment and performanceEducating the public on AI biases and impacts on democratic processesThe need for balanced and informative reporting on AI to avoid hype AI's Impact on Elections and Voter ManipulationSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.