Episódios
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Upasna Gautam, Senior Platform Product Manger at CNN and Chair of the Board of Directors at the News Product Alliance, joins host Nikita Roy to discuss her framework for AI integration in newsrooms.
In this episode, Gautam breaks down her three-question approach to AI implementation and shares insights from building CNN's content management platform Stellar. Through practical examples from CNN's journey and her work with newsrooms globally, Gautam offers a systematic framework for evaluating which AI opportunities are worth pursuing.
Key topics include:
How CNN operates like a tech company Three essential areas for AI in news: workflow orchestration, data integration, and content modularityBuilding trust with journalists by focusing on concrete benefits over technology hypeFramework for evaluating AI opportunities that works for newsrooms of any sizeTransforming editorial teams into "mini PMs" who shape technology adoptionStrategies for successful AI implementation in resource-constrained newsroomsSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.
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Agnes Stenbom, Sweden’s AI Person of the Year and Head of IN/LAB and Trust Initiatives at Schibsted Media, joins host Nikita Roy to discuss how one of the Nordic region’s largest media groups is innovating with AI to reach underrepresented audiences and build trust in journalism. Stenbom is also an industry doctoral candidate researching AI in journalism and a co-founder of Nordic AI Journalism, a network advocating for the responsible use of AI in journalism across the Nordic region.
In this episode, Stenbom highlights how Schibsted is leveraging AI to tackle news avoidance, experimenting with interactive formats, and navigating the challenges of responsible AI adoption in newsrooms.
Key topics include:
Using generative AI to create personalized, engaging formats such as rap-style news summariesDesigning AI tools for audience interactivity, including news concierges and custom avatarsSchibsted’s FAST framework for managing AI risks in fairness, accountability, sustainability, and transparencyEthical dilemmas and risk mitigation in using generative AI for journalismInsights on fostering newsroom culture to embrace technological innovationSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.
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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.
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Martin Schori, Deputy Managing Editor and Associate Publisher at Aftonbladet, joins host Nikita Roy to discuss how Sweden’s largest newsroom built an AI hub, developing a wide range of innovative editorial tools, including a suite of AI-powered tools for the newsroom and a chatbot for the EU elections. As the Program Lead for the AI Hub, Schori shares the biggest wins, challenges, and key lessons from their experiments with AI in journalism.
Key topics include:
- The creation of Aftonbladet’s AI hub and its impact on editorial workflows
- How Aftonbladet used AI to engage readers with an EU election chatbot
- Analyzing coverage using AI to track gender and diversity representation
- Ethical considerations and maintaining editorial control with AI tools
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In this special episode of Newsroom Robots, host Nikita Roy steps into the spotlight to answer your pressing questions about AI. Recorded during a session with the Online News Association (ONA), this episode covers a range of topics, from ethical considerations in AI-generated content to practical tools that can elevate your work.
AI Tools Mentioned:Perplexity - A generative AI search engine that provides quick insights on any topic. Wobby - A data journalism tool that connects to open datasets, where you can ask questions in plain language and get clear AI-generated insights, reports, and visualizationsOpusClip - Converts long-form videos into short, engaging clips for social media, ideal for repurposing content.YESEO - A Slack-based AI tool for generating headline suggestions and SEO metadata, widely used in local newsrooms.Google's Pinpoint - A tool for investigative journalists using AI to search through massive amounts of documents, including handwritten ones.Natural Reader - An AI tool that reads text aloud with natural-sounding voices, perfect for those who prefer listening over reading.Whimsical AI - Creates diagrams and visualizations from your data inputs directly within ChatGPT.Elicit & Consensus - AI-powered search engines for academic research, useful for journalists covering specialized beats like health and science.Nota - A versatile tool for creating SEO content, summarizing articles, and even converting articles into videos.GPT for Sheets and Docs, Claude for Sheets - These tools bring AI directly into your Google Docs and Sheets, enabling you to draft, edit, and generate insights without leaving your document or spreadsheet.If you're interested in learning more about how AI is being implemented in newsrooms, sign up to receive a series of case studies on AI and journalism, researched and written by Nikita in collaboration with the Online News Association.
Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.
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Rep. Anna Eshoo (D-Calif.), co-chair of the U.S. Congressional AI Caucus and one of Time magazine's 100 most influential people in AI, shares her perspective on the opportunities and risks of AI with host Nikita Roy.
With over three decades of experience in the U.S. House of Representatives representing parts of Silicon Valley, Rep. Eshoo has been a leading voice on technology and its implications. Her long-standing engagement with tech policy provides a unique perspective on the current AI revolution.
Key topics discussed in this episode include:
The growing concern over AI models training on news content without compensation.The challenge of combating misinformation in the age of generative AI.Bipartisan efforts in Congress aimed at democratizing AI.Addressing the threat of job displacement and evolving societal frameworks to keep pace with rapid technological advancements.Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.
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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.
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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.
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Ole Reissmann, Director of AI at Der Spiegel, joins host Nikita Roy to discuss how the legacy German news organization is harnessing AI to enhance their journalism and streamline newsroom workflows.
The episode explores Der Spiegel's initiatives to integrate AI into various aspects of its operations, from automating routine tasks like SEO title generation and fact-checking to developing audience-facing AI products, such as a browser plugin and audio article updates. Ole also shares insights on building an automated gender report using AI and the value of collaboration among German news organizations in advancing AI initiatives.
Topics discussed include:
Fostering a Culture of AI Experimentation in the NewsroomExploring Audience-Facing AI ProductsTesting and Prototyping AI ProductsBuilding Foundations for Future AI ProjectsEnhancing User Experience and Personalizing Content with AIBuilding an AI-powered gender reportCollaborating with German news organizations on AI initiativesPersonal experiments with AI and lessons learnedSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.
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Jaemark Tordecilla, Nieman Fellow at Harvard University, joins host Nikita Roy to discuss the potential of using custom GPTs for journalistic purposes. Jaemark is the former editor-in-chief and senior assistant vice president of News and Public Affairs at GMA News, the Philippines' leading digital news organization.
For the past year as a Nieman Fellow, Jaemark has been pushing the boundaries of what's possible with custom GPTs – personalized versions of ChatGPT that can be tailored with specific instructions, knowledge, and capabilities to serve a particular purpose or task.
In this episode, Jaemark shares his experiences creating custom GPTs like the COA Beta Assistant to summarize dense government audit reports. He dives into how custom GPTs can streamline processes across the journalism value chain - from data analysis and visualization to content creation and fact-checking.
The episode explores the ease of building these AI tools without coding, integrating custom knowledge bases, and leveraging advanced capabilities like image recognition.
Nikita and Jaemark also discuss real-world use cases, the power of democratizing access to AI for smaller newsrooms, and navigating the limitations of these models.
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Adrian Gill, the founder and CEO of Ad Hoc Industries and the former creative director of the Harvard Innovation Labs, joins host Nikita Roy to explore the transformative impact of AI, especially image generation tools, on the creative design industry.
Gill brings a wealth of knowledge in creative direction, strategy, and brand management from his career, which includes serving as the Vice President for PUMA's $1.8B Global Footwear Division. His expertise spans across industries, from leading a global brand campaign for Barbados Tourism featuring Rihanna to producing innovative film content for VMware to simplify software virtualization.
In this episode, Adrian and Nikita explore:
How to enhance design workflows and speed up the ideation process with AI.How AI tools to discover innovative design solutions and expand creative boundaries.The role of AI in visual storytelling and its synergy with human creativity.Ethical considerations and responsible AI practices in design.Strategies for designers and creatives to remain competitive in an AI-driven landscape.Hosted on Acast. See acast.com/privacy for more information.
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Mattia Peretti, former manager of Journalism AI at the London School of Economics and current Knight Fellow at the International Center for Journalists, joins host Nikita Roy to share insights on balancing AI innovation with journalistic integrity.
The episode explores an AI literacy initiative at Internews, which created a platform for knowledge exchange and significantly improved the organization's understanding and application of AI technologies.
The discussion also delves into the development of generative AI guidelines for newsrooms, using the example of The Guardian. The focus is on creating adaptable, value-driven principles rather than strict prescriptions. This approach allows for flexibility in the face of rapid technological changes while ensuring that the organization's foundational values remain intact.
The Guardian's experience serves as a valuable case study for other newsrooms looking to navigate the integration of AI technologies.
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Florent Daudens, the outgoing Director of Newsgathering and Deployment at Canada's National Public Broadcaster, Radio-Canada, joins Nikita Roy to share how he led AI literacy initiatives in their newsroom. In his role, Florent focused on enhancing the news department with AI as well as managing operations across national, parliamentary, and foreign bureaus.
With a passion for AI and technology trends, Florent has contributed to the digital evolution of major Canadian media outlets for over 15 years. Previously, he worked as the News Director at Le Devoir, where his tenure was marked by a digital transformation. This included the creation of specialized video and data visualization units and the introduction of innovative journalistic products. Florent also dedicates time to teaching digital journalism at the University of Montreal.
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Ezra Eeman, the Director of Strategy & Innovation at the Dutch Public Broadcaster NPO joins Nikita Roy to discuss NPO's AI strategy, revealing the complexities of navigating this frontier within a decentralized network of 13 broadcasters. From leveraging AI for accessibility and efficiency to cautious experiments with synthetic voices and avatars, NPO's approach offers a fascinating case study in balancing innovation with public trust.
With almost 20 years of experience in media, innovation, and journalism, Ezra has been at the forefront of digital transformation. Previously he was the Change Director at international media company Mediahuis, where he was responsible for coordinating newsroom transformation and digital acceleration. He also served as the Head of Digital, Transformation and Platforms at the European Broadcasting Union (EBU), and prior to that, he was head of an innovation lab and journalist at VRT, the Flemish public broadcaster.
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Craig Newmark, internet pioneer and founder of Craigslist, joins Nikita Roy to talk about the past, present, and future of AI.
Craig is a visionary whose profound contributions have shaped the landscape of digital platforms and supported the pillars of journalism.
As the founder of Craigslist, he revolutionized the classified ads sector and transformed how people buy, sell, and connect within their local communities.
Beyond his impact on the internet's landscape, Craig is a dedicated philanthropist, notably through the Craig Newmark Philanthropies where he has become a beacon of support for the work of journalists.
His philanthropic journey is marked by significant contributions to some of the leading journalism schools, including the City University of New York's Graduate School of Journalism, aiming for a future where education in journalism is accessible to all, free of tuition.
Craig's generosity has been instrumental in establishing the Center for Journalism Ethics and Security at Columbia University.
His vision for a well-informed public has also led to supporting the University of Washington's Center for an Informed Public addressing the critical issues of mis- and disinformation.
Craig Newmark Philanthropies has contributed to Harvard University's Berkman Klein Center for Internet & Society which supported the launch of a three-year initiative called the Institute for Rebooting Social Media.
Craig has contributed to several other universities, focusing on initiatives that support journalism, cybersecurity, public service for veterans, and the digital information ecosystem.
In this episode, Craig shares his thoughts on the challenges posed by large language models and how philanthropy plays a vital role in supporting the integration of AI into journalism.
📢 Announcing the launch of the Newsroom Robots Academy.
The Academy will offer short online courses designed to introduce you to generative AI, complete with industry-specific insights.
Join Nikita Roy, who will co-teach these courses alongside Jeremy Caplan, writer of the Wonder Tools newsletter and Director of Teaching and Learning at the Craig Newmark Graduate School of Journalism at the City University of New York.
Upskilling has become more crucial than ever. Through the courses offered at the Newsroom Robots Academy, you'll be able to leverage the capabilities of generative AI in your work as a media professional.
Sign up now to be among the first to know when course registration opens.
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From fine-tuning large language models, to discussing modular journalism, to developing an AI tool to help track misinformation, there’s a lot to unpack from this week’s conversation with Alessandro Alviani, the product lead for AI at Germany’s Ippen Digital. We build upon the first part of our conversation from last week, where Alessandro shared his editor-centric approach toward building AI products.
A core takeaway from this week's episode is the value of fine-tuning large language models on a newsroom’s content.
Fine-tuning is the process of taking a pre-trained language model that understands general textual patterns and customizing it by training the algorithm on writings from a specific domain – in this case, Ippen Digital's own journalistic content. By fine-tuning models on Ippen Digital's extensive corpus of local German reporting rather than just using out-of-the-box models like GPT-4, they are working on enhancing accuracy for tasks like headline writing, lead paragraph generation, and article summarization.
Their editors and developers work side-by-side to ensure the AI's outputs match the desired quality standards and editorial voice.
Additionally, Alessandro spotlighted their work in building personalized news experiences enhanced by modular journalism or “intelligent content.” Modular journalism involves breaking down articles into discrete, interchangeable components centered on key semantic themes – historical context, opposing views, critical data, etc. These content blocks can then be dynamically mixed and matched by an algorithm to generate personalized news experiences for different reader interests and preferences.
We also discussed how developing AI assistants to break down a human-written news story into modules can enable the creation of customized article versions matching different reader interests or news products.
Such repackaging of information to cater to diverse audiences is one of the potentials of AI in the newsroom. Thoughtful implementation of augmented writing tools could catalyze more engaging, personalized news without compromising editorial integrity.
Of course, prudent precautions are necessary to develop algorithms in the newsroom. While AI has much potential for accelerating and enhancing reporting, we must understand its limitations in fully automating high-caliber journalism. The heart of quality storytelling – weaving together evidence and narratives to reveal truth and empower civil discourse – remains an irreplicable, fundamentally human endeavor.
Ippen Digital’s stance to develop AI solutions that empower rather than replace reporters seems wise. By bonding human creativity and AI productivity with an ethical approach to automation, journalism may structurally shift yet hold fast to its sacred commitments to transparency, accuracy, and public enlightenment.
🎧 Listen to the full conversation available now on Apple, Spotify, Google, and other major podcast platforms.
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Rather than AI replacing journalists, Alessandro Alviani believes editorial teams can leverage AI to enhance and augment their work.
Formerly as the Editorial Director at the Microsoft News Hub, Alessandro experienced firsthand the consequences that replacing human editors with automated systems caused. Drawing from his experience he says that the key is to empower journalists with AI tools rather than displace them. "It's our responsibility to help editors develop a more realistic approach to AI," he says.
Now, as the Product Lead on AI at the German newsroom Ippen Digital, Alessandro has led the creation of a range of innovative AI products - from interview transcription tools to illustration generators - with transparency, responsibility, and human oversight as key principles.
What I found particularly interesting was his three-pronged strategy towards an editorial-first approach to building AI products: internships with his product team, having two editors embedded within his 10-person team, and deep-dive discovery sessions across their newsrooms to understand editorial needs.
This approach, which emphasizes collaboration and hands-on involvement, led to innovations such as an editorial assistant that was developed with input from human editors. With transparency and human oversight as guiding principles, Ippen's AI team built a self-evaluation system on top of their generative AI tools to automatically evaluate the quality of their output.
Through their internal AI training programs, Ippen Digital strives to give every employee - not just technologists - a solid understanding of how AI models function, where they fall short, and why human judgment is irreplaceable.
My biggest takeaway from Alessandro was this: by proactively shaping how AI gets built and deployed, journalists have an opportunity to set their direction. The future of news isn't human versus AI - it's human augmented by AI. And for the survival of quality journalism, getting that balance right is imperative.
In the second part of our conversation out next week, Alessandro discusses how Ippen Digital is working on fine-tuning large language models for specific newsroom tasks. He also discusses his collaboration with colleagues at The Times of London as a 2022 JournalismAI fellow, where he developed a tool and methodology for journalists to track manipulated narratives, especially those from state-run media.
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Jeff Jarvis joins Nikita Roy in the second part of his conversation to discuss how journalism business models will be affected by the rise of generative AI.
In part one, Jarvis shared his thoughts on whether generative AI companies should be allowed to use news media's copyrighted content to train their AI models.
Jarvis has been the director of the Tow-Knight Center for Entrepreneurial Journalism at the Craig Newmark Graduate School of Journalism at the City University of New York and the author of "The Gutenberg Parenthesis: The Age of Print and its Lessons for the Age of the Internet." He also co-hosts the podcasts "This Week in Google" and "AI Inside"..
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Jeff Jarvis joins Nikita Roy to discuss whether AI companies should be allowed to use news media's copyrighted content to train their models.
Jarvis is a veteran journalist and professor who recently testified to the US Senate Judiciary Subcommittee on Privacy, Technology, and Law on AI and the Future of Journalism. He's been the director of the Tow-Knight Center for Entrepreneurial Journalism at the Craig Newmark Graduate School of Journalism at the City University of New York. He is the author of six books, most recently "The Gutenberg Parenthesis: The Age of Print and its Lessons for the Age of the Internet." He co-hosts "This Week in Google" and "AI Inside" podcasts.
Sign up for the Newsroom Robots newsletter for episode summaries and insights from host, Nikita Roy.
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Aliya Itzkowitz and Sam Gould from FT Strategies join Nikita Roy to discuss the capabilities of multimodal AI and AI agents within the publishing industry. Discover further insights and practical examples of these technologies in the Newsroom Robots newsletter, featuring insights from host, Nikita Roy.
Aliya is a Manager at FT Strategies where she has consulted over 30 publishers across Europe, Asia, Africa and North America. Her work focuses on the critical shifts facing publishers today, including rethinking revenue models and understanding how to leverage AI. Before the FT, she worked at Dataminr, bringing AI technology to newsrooms, and at Bloomberg as a journalist. Aliya has a BA from Harvard University and an MBA from the University of Oxford.
Sam is a data scientist at FT Strategies and has worked in consulting, helping clients to solve strategic business challenges using data. He has helped organizations in both the public and private sectors, from tech to healthcare to consumer products, define their AI roadmaps and strategies. He has also worked as a data scientist, designing and building data and AI systems. Sam designed the FT Strategies AI Design Sprint methodology working in partnership with the Google News Initiative.
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