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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How does a 182-year-old global magazine stay ahead in the age of generative AI? This week on Newsroom Robots, host Nikita Roy is joined by Ludwig Siegele, Senior Editor for AI Initiatives at The Economist. After more than 25 years reporting from San Francisco, Berlin, and London, Siegele now leads the publication’s AI strategy. He discusses how The Economist launched its AI Lab—a startup-style group within the organization with the freedom to test bold ideas and move quickly. The lab is charged with looking years ahead, preparing for a future where much of journalism’s supply chain may be automated, and ensuring The Economist maintains its identity in an AI-driven media ecosystem.

From practical newsroom wins like AI-powered translation and research pipelines to more experimental projects such as TikTok video dubbing and the SCOTUS bot, Siegele explains how The Economist is testing, iterating, and learning in real time. He also reflects on what hasn’t worked, the challenges of newsroom adoption, and why the next phase of journalism may require redefining the role of the journalist itself.

In this episode:

00:00 – Introducing Ludwig Siegele & The Economist’s AI journey

01:31 – How AI experimentation began at The Economist

03:26 – Overcoming newsroom fear of ChatGPT

04:53 – Building AI infrastructure and upskilling staff

07:10 – The tools and vendor partnerships powering experiments

08:29 – Why adoption is harder than building tools

12:10 – Translation, research, and NotebookLM as newsroom game changers

16:06 – How automation could reshape the journalist’s role

18:41 – Launching The Economist AI Lab

24:11 – Audience-facing AI experiments (TikTok dubbing, Espresso app, SCOTUS bot)

26:05 – Partnering with Google NotebookLM while protecting the brand

30:02 – Scraping, monetization, and the future of publisher revenue

33:41 – Measuring ROI on AI initiatives

37:40 – The biggest barriers to newsroom AI adoption

39:14 – How Ludwig uses AI personally in art and culture

40:40 – Closing reflections

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In Estonia, Delfi Meedia has built one of the strongest foundations for AI in journalism. With one of the highest digital subscription rates in the world, Delfi has moved beyond the buzz around AI to put it into everyday practice, supporting both its journalism and business.

In this episode, host Nikita Roy is joined by Ivar Krustok, Chief AI & Innovation Officer at Delfi Meedia. Ivar breaks down how a small-market publisher is shipping AI that actually helps journalists: from live cross-language translation and newsroom bots to an in-house “company ChatGPT” toolkit wired into 25 years of archives and public records.

Key topics include:

•Delfi’s three-bucket AI strategy: everyday newsroom tools, experimental long-term projects, and company-wide literacy.

•Why Delfi built its own “company ChatGPT” toolkit to search 25 years of archives.

•How bots and agents are transforming dashboards into conversational tools for subscriptions, ads, and editorial performance.

•Lessons from AI experiments, from court-case monitoring that surfaces hidden stories to audience-facing image generators.

•The ongoing challenge of scaling AI literacy across hundreds of staff while keeping adoption practical and trust-centered.

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