AI in Journalism

• From Free to Pro: How to Maximize AI Tools Without Wasting Money

  What’s the secret to working smarter, not harder, in journalism and PR with AI tools? Find out how the right tools can transform your writing, research, and visual content creation.AI tools are revolutionizing journalism, PR, and content creation, but choosing the best ones can feel overwhelming. Whether you're a seasoned pro or just starting, this episode will help you navigate free vs. paid tools while protecting your data and maintaining your professionalism.In this episode you’ll learn:The best free AI tools for writing, research, and visuals—and when to consider premium upgrades.How to protect sensitive data while using AI tools for your projects.Time-saving tips for integrating tools like ChatGPT, Canva, and Otter AI into your workflow.Don’t miss out—play this episode now to discover how AI can help you streamline your work and achieve better results!

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• Reinventing News Connections with AI: 5 Tips Every Journalist Needs

  In today's episode ...We’re joined by Adam Harder, co-founder of the innovative platform InPress. InPress is changing how journalists and audiences connect through facts, not filtered algorithms. InPress uses AI to create genuine, story-driven social connections based on factual journalism, aiming to build community and media literacy in the digital age.This episode is packed with insights for journalists seeking ethical ways to leverage AI, build engagement, and avoid echo chambers. Whether you’re a tech enthusiast or hesitant about AI, Adam’s tips and real-world applications offer practical, no-nonsense guidance on using AI to stay relevant without losing your integrity.Tune in to Discover These Top 5 Actionable Takeaways:Use AI to Foster Genuine Connections Through NewsDiscover how InPress uses AI to match users based on news preferences instead of personal data. This unique approach turns news into a community builder, giving journalists a new way to connect with their audience through meaningful stories, not echo chambers.Leverage Data for Media Literacy and EngagementLearn how AI-driven platforms like InPress can analyze user emotions and reactions to news, providing journalists with feedback on audience interests without bias. This data can help journalists create content that resonates while promoting media literacy.Balance the News Feed for a Broader PerspectiveAdam explains InPress’s strategy of presenting a balanced feed, like a digital newspaper, to prevent echo chambers. This approach allows audiences to see diverse perspectives, offering journalists a blueprint for presenting fair, fact-driven news in a fragmented media landscape.Integrate AI without a Tech BackgroundAdam’s journey shows that you don’t need to be a developer to innovate with AI. He shares resources like Y Combinator’s co-founder matching tool and his process for using design tools like Figma to bring his vision to life—offering hope and a path forward for non-tech-savvy journalists.Try These AI Tools to Boost ProductivityFrom ChatGPT to Claude, Adam shares simple, powerful AI tools that any journalist can start using to save time, brainstorm ideas, and streamline workflows—no coding required. This episode covers harnessing these tools to stay efficient and adaptable in a rapidly changing industry.Why Listen?If you’re a journalist or media pro looking for ways to stay relevant in the digital age, this episode is your guide to using AI ethically and effectively. Here’s the list with hyperlinks for each resource Adam mentioned: Ad Fontes Media's Media Bias Chart: A tool to assess the reliability and bias of various news sources. Y Combinator's Co-Founder Matching Platform: A service to connect with potential co-founders for your projects. Poynter's Guide on Media Bias Charts: An insightful article discussing the reliability and use of media bias charts. Follow Yumi:

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  45:52
• 5 Essential Tips from Neulight’s Founders on Using AI Responsibly in Education

  In this episode… Jose Moreno and Andrew Lawrence, co-founders of Neulight, explore how AI can drive meaningful change in education, touching on themes that resonate deeply with journalism and media. Tune in to hear insights on: Data Privacy & Ethics: Understand how Neulight prioritizes student privacy and ethical AI in their product, Intelliteer, respecting frameworks like HIPAA and FERPA. Efficiency Without Compromise: Learn how Neulight leverages general knowledge models to make valuable recommendations with minimal data, avoiding the extensive data requirements of traditional tech solutions. Addressing Bias and Representation: Jose and Andrew discuss the challenges of AI bias, sharing examples like how some AI-generated images of Vice President Kamala Harris fail to represent her accurately due to limited training data. They explore how ensuring diverse representation within AI models helps counter these biases. AI’s Potential in Education and Beyond: Jose and Andrew discuss how their method of personalized student support could inspire solutions for journalism and other industries. Moving from Big Tech to Startups: Gain insight into the mindset shift required to leave stable roles at companies like Microsoft and Netflix to tackle new challenges in the AI startup world. Best Quotes "I have to have this irrational optimism…there’s a lot of self-doubt that comes with building something brand new, but you have to believe it’s going to work." — Jose Moreno "Without even providing data, you can start talking with our assistants and have conversations about how to implement MTSS at your school." — Andrew Lawrence "The secret for a lot of big tech companies is that they personalize by collecting tons of data, but we’re bringing a general knowledge model to make high-value recommendations with far less data." — Jose Moreno"Don't be scared of AI. I think change is always scary, but

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  42:16
• Branislava Lovre on the Ethics of AI in Journalism

  Show Notes: AI and Journalism with Branislava LovreHost: Yumi WilsonGuest: Branislava Lovre, journalist, AI ethicist, and co-founder of ImpactfulEpisode Summary:In this episode of AI and Journalism, I talk to Branislava Lovre, a seasoned journalist and AI ethicist with over two decades of experience. We explore the ethical implications of AI in journalism, focusing on accountability, transparency, and bias. Branislava shares her journey in founding Impactful and her mission to make AI accessible while maintaining journalistic integrity. Together, we discuss how AI is changing newsrooms and what we need to do to ensure AI is used ethically and responsibly in the future of journalism.3 Highlights:Accountability in AI-generated content: Branislava highlights the importance of transparency in AI-generated news stories and stresses the need for clear policies and ethical guidelines to ensure accountability.Bias in AI Algorithms: We explore how AI can perpetuate biases in data and discuss real-world examples of bias affecting news reporting. We also offer tips on how journalists can mitigate these issues.The Future of Newsrooms: Branislava paints a picture of future newsrooms, showing how AI can enhance efficiency but must be balanced with human judgment, ethics, and transparency3 Best Quotes:"If news outlets use AI to generate content, they must disclose that to their audience. It's a matter of trust and credibility." — Branislava Lovre"Just because we can use AI doesn’t mean we should. We must ask ourselves if it’s improving journalism or undermining trust." — Branislava Lovre"The core mission of journalism won’t change, but AI will revolutionize how we achieve it, making news more interactive and accessible." — Branislava LovreGreat Resources Mentioned: Impactful — Branislava’s media startup focusing on AI ethics and transparency. AI in Newsrooms — A guide on how AI is currently being used in journalism. SPJ Code of Ethics — The Society of Professional Journalists' Code of Ethics, a great resource for journalists.How to Reach Branislava:LinkedIn: Branislava Lovre Impactful Website: impactful .comHow to Reach Me (Yumi Wilson):Website: yumiwilson .me LinkedIn: Yumi WilsonSupport My Work: Love the podcast? Support me on Patreon to help fund more episodes! Check out exclusive content and early access perks: Patreon .com /YumiWilson Call to Action: If you enjoyed the episode, please rate and review the show on your favorite podcast platform. Don’t forget to subscribe for future episodes, and follow me on LinkedIn for more updates! Stay tuned for more insights on AI in journalism, and make sure to visit

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  52:50
• Pete Pachal on How AI Will Change Journalism

  In this episode of the AI and Journalism podcast, host Yumi Wilson interviews Pete Paschal, the founder of Media Co Pilot. Pete shares his extensive experience as a tech journalist, having worked at influential publications like Mashable and PC Mag. He discusses how his time at these organizations shaped his understanding of technology's role in society, particularly as it relates to AI. Pete explains how his work at CoinDesk, where he explored the use of AI in media, led him to launch Media Co Pilot, a platform dedicated to understanding AI's impact on the industry. He emphasizes the importance of using AI as an assistive technology for journalists, rather than a replacement for human judgment and creativity. The conversation covers a range of topics, including the ethical considerations around AI's use in media, the potential impact of antitrust cases on the industry, and predictions for the future of journalism in the age of artificial intelligence. Pete also provides recommendations for specific AI tools that can be beneficial for journalists, such as ChatGPT, Claude, and Opus Clip. Moments: 0:06:26 Pete discusses his experience at CoinDesk and how it shaped his understanding of AI's impact on media. He describes how the company explored the use of AI, particularly in the wake of the FTX scandal, and developed internal guidelines and use cases for the technology. 0:14:48 Pete explains how the definition of journalism may not change, but the skills and expectations around it will. He emphasizes the importance of journalists developing AI skills and using the technology as a tool to enhance their work, rather than as a replacement for human judgment and creativity. 0:30:32 Pete predicts how Google's antitrust battles could impact the media industry. He suggests that the potential split of the company could lead to a more balanced power dynamic between media companies and tech giants, potentially increasing the value of media content and the democratization of AI technology.Best Quotes: "AI can't do that. What AI is really good at, though, is what I would declassify as aggregation.""Just because an AI can do something in most cases, it doesn't necessarily mean it should in all cases.""The age of aggregation can start to be more and more offloaded to machines, and then reporters are then tasked with and challenged to go out and do real reporting."Resources Mentioned: Semaphore/) - A platform that helps reporters find information on their beats across the world.Yes, CEO/) - An app that creates AI-generated headlines and descriptions for articles.Perplexity/) - An AI-powered search engine that shares revenue with publishers.Legitimate/) - A platform that provides verified profiles for journalists and AI tools for their work.Otter/) - A transcription tool with AI features.Rolly/) - A database of expert sources for journalists.

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