How do you redesign a newsroom’s entire workflow when AI is no longer a single tool, but a collection of agents, voice interfaces, and ambient intelligence changing how journalism gets produced?

This week on Newsroom Robots, host Nikita Roy is joined by Markus Franz, Chief Technology Officer at Ippen Digital, one of Germany’s largest digital media networks with more than 80 online news and media portals. This episode was recorded live at the Digital Growth Summit in Stuttgart, where Markus shared how his team is building some of the most forward-looking AI experiments in European media.

Markus leads Ippen Digital’s Incubator Lab, an innovation unit focused on reimagining how publishing and AI-driven experiences will evolve. With 16 years inside the company, Markus has been central to Ippen’s digital transformation and now leads efforts around multi-agent architectures and building adaptive workflows for the newsroom.

In this conversation, Markus breaks down how his lab is experimenting with multi-agent “virtual teams,” voice-first newsroom interfaces, multimodal content production and an ambient AI-powered newsroom where intelligent systems support journalists in real time. He shares what his team has learned from early prototypes, why the biggest challenges are cultural rather than technical, and how news organizations should think about guardrails, platform dependency, and the rise of self-evolving models.

This episode covers:

02:22 – Why Ippen Digital built an Incubator Lab and how it’s structured as a future-focused R&D unit

04:49 – What multi-agent systems look like inside a newsroom

9:42 – The case for voice as the next major interface for both journalists and audiences

14:41 – The shift from human-in-the-loop to human-on-the-loop workflows

17:40 – Guardrails for agent systems: grounding, bounding, editorial policies

19:33 – The vision for an ambient newsroom powered by AI companions and real-time intelligence

27:31 – Why vendor lock-in and self-evolving LLMs pose new strategic risks

30:08 – Multimodal personalization and rethinking how news is experienced

34:27 – Why most AI pilots fail and what experimentation looks like in practice

49:19 – Markus’s personal AI stack and how he uses these tools day-to-day

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How do you bring AI into a newsroom as big and globally distributed as the BBC, an editorial network that stretches across 42 languages and more than 5,000 journalists?

This week on Newsroom Robots, host Nikita Roy talks to Olle Zachrison, Head of News AI at BBC News, where he leads the BBC’s efforts to advance AI use and strengthen its journalism and audience experiences. Previously, the Head of AI at Swedish Radio, Olle has spent the past few years implementing practical newsroom AI workflows while upholding public-service values.

In this conversation, Olle breaks down BBC’s four-part AI strategy, covering large-scale translation and transcription, content reformatting, investigative tools, and early experiments with synthetic audio and conversational news. He shares what’s working inside one of the world’s largest news organizations, what routinely stalls AI projects, and why the most challenging part of AI transformation isn’t the technology but the collaboration required across editorial, product, and engineering. Olle also reflects on what it means to innovate as a public broadcaster in an AI-driven ecosystem, and why archives, credibility, and direct audience relationships will determine which journalism remains indispensable in the years ahead.

This episode covers:

03:39 – The BBC’s four-part AI strategy: Boosting productivity, reformatting content, augmenting journalism, and innovating user experience as the core themes

05:10 – Using AI for large-scale transcription, tagging, live pages, alt text, newsletter production, and translation to save time and make content more searchable.

08:17 – Reformatting content across platforms and formats

20:59 – Innovating user experiences with synthetic audio and conversational formats

31:59 – How the BBC uses strategic themes, clear metrics, and fast pilots to decide what’s worth building and scaling

46:59 – Inside the BBC’s fine-tuned LLM and Style Assist

52:01 – What it means to be a public broadcaster in an AI-driven ecosystem

01:02:58 – Olle’s personal AI stack

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This week on Newsroom Robots, host Nikita Roy sits down with Vilas Dhar, President of the Patrick J. McGovern Foundation, one of the world's foremost philanthropies advancing AI for public good. Dhar leads a $1.5 billion endowment that has committed over $500 million to projects spanning climate action, public health, education, and democratic governance. He has served on the UN Secretary-General's High-Level Advisory Body on AI, is the U.S. government's nominated expert to the Global Partnership on AI, and was named a World Economic Forum Young Global Leader in 2022.

Across philanthropy, policy, and technology, Dhar carries one central conviction: technology may accelerate, but the future of journalism and society must remain human-centered. Dhar introduces a three-part framework for ethical AI deployment (responsible data, clear boundaries, and transparency) and explains how to translate abstract principles into concrete newsroom decisions. He unpacks his LISA framework (Listen, Involve, Share, Assess) for audience-centered AI design, and tackles the hardest questions facing newsroom leaders: Should we buy or build AI tools? How do we balance innovation with environmental sustainability? What happens to human creativity when machines can create?

But perhaps most powerfully, Dhar challenges a deeply held belief in journalism: that media organizations can remain ‘just’ media companies in an AI-driven world. There is no way to be a media organization today without also being a technology organization, he argues, and that shift requires not just new tools, but a fundamental reckoning with organizational identity and purpose.

This epiosde covers:

00:31 – Introducing Vilas Dhar and his human-centered AI vision: Why technology should serve dignity, equity, and democracy—not just profit

02:17 – The three-part framework for ethical AI: Responsible data, clear boundaries, and transparency as actionable principles

07:08 – Questions leaders must ask before deploying AI: Who's involved? Who's accountable? Who has editorial control over AI use?

10:16 – The LISA framework: Listen, Involve, Share, Assess to turn AI experimentation into behind-the-scenes reporting that builds public trust

13:30 – Navigating ethical dilemmas around AI-generated content

13:51 – The three phases of newsroom AI adoption

18:54 – Why "we're not a tech company" no longer works

23:12 – Organizational reckoning in an 18-month transformation cycle

25:23 – Why smaller, targeted models and collective action matter more than massive systems

29:14 – Fighting misinformation with AI

34:13 – What journalism is missing compared to other industries

37:01 – The evolving role of human creativity and agency

39:33 – The McGovern Foundation's North Star

44:23 – How Vilas uses AI personally

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