How Journalists Adapt To The AI Revolution with Bahareh Heravi
In this episode of "A Journalist's Guide To AI," host Yumi Wilson interviews Dr. Bahareh Heravi, an associate professor and AI expert focused on responsible AI use in journalism. Dr. Heravi shares her journey from a computer science background to merging technology with journalism, inspired largely by the challenges of news detection during Iran’s Green Revolution. The conversation covers the evolving role of AI and computational tools in newsrooms, noting how initial skepticism is slowly being replaced by experimentation, especially following the arrival of generative AI tools like ChatGPT. Dr. Heravi discusses the diversity of attitudes among journalists; some are eager to adapt to AI, while others resist, fearing a loss of professional identity or journalistic integrity. The episode explores how AI tools are democratizing writing, supporting those who face language barriers, and enabling greater collaboration between technical and editorial roles. Yumi and Bahareh also address practical concerns about privacy, data protection, and the importance of clear organizational guidelines for AI use. Dr. Heravi emphasizes that ongoing education, responsible experimentation, and peer support are key as journalists navigate this new landscape, ultimately highlighting how AI can enhance both reporting and writing while safeguarding trust and ethical standards in media. (00:00) AI Guidelines, Journalist Uncertainty, and Risk Aversion
(01:16) Introduction of Dr. Bahareh Heravi
(02:02) Heravi’s Personal Journey into AI & Journalism
(04:35) Early Newsroom Experience and Initial Tech Integration
(07:18) Evolution of Technology, Social Media, and AI Adoption
(10:57) What is NLP? Distinguishing Terms
(12:07) Journalists’ Attitudes Toward GenAI Tools
(15:49) The Writer’s Identity Debate & AI’s Influence
(17:54) Language Barriers and AI as an Equalizer
(22:03) Data & Computational Skills in Journalism
(26:57) Practical Advice on Tools for Journalists
(28:48) Privacy Concerns with AI Tools and Data Storage
(32:14) Everyday Privacy, Data Collection, and Personalization
(36:43) Personal vs. Source Data: Journalistic Ethics
(38:44) Consent, Transcription, and Organizational Policy
(41:18) Corporate AI Solutions and Internal Protections
(43:03) AI Training, Literacy, and Policy Development in Newsrooms
(46:29) Moving From Theory to Practical Guidance
(47:10) Closing Remarks & Takeaways Read Article: Follow Yumi: https://yumiwilson.me https://www.linkedin.com/in/yumiwilson/ Sponsored By: Saspod https://saspod.com/register?refcode=ProfYumiQcLU
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What is Artificial Super Intelligence and Will it Replace Us?
In this episode of "A Journalist’s Guide to AI," host Yumi Wilson dives into the evolution of artificial intelligence and what the future could look like as we move toward Artificial Super Intelligence (ASI). Yumi breaks down the three main stages of AI: Artificial Narrow Intelligence (ANI), which powers today’s AI tools like ChatGPT and is excellent at specific tasks; Artificial General Intelligence (AGI), theorized to match human flexibility and cross-domain reasoning but not yet achieved; and finally, ASI, a level where intelligence surpasses human capabilities in every way.Yumi explains the technologies and advances needed to reach AGI and ASI, like multisensory AI, advanced neural networks, neuromorphic computing, and evolutionary algorithms. She discusses both the potential benefits, such as problem-solving, creativity enhancement, and reduced bias, and serious risks, including loss of control, economic disruption, and existential threats.Throughout the episode, Yumi keeps journalism and media impact front and center, pondering what fully autonomous newsrooms and predictive journalism might mean for the profession. She stresses the importance of human responsibility, ethics, and staying informed as AI develops. Yumi encourages listeners to get involved, ask questions, and consider both the promise and perils of the AI-powered future.(00:57) - What is Artificial Narrow Intelligence (ANI)?(03:57) - Shoutout to SaaSpod (Podcast Production Partner) (05:08) - Transition from ANI to AGI and ASI (05:54) - What is Artificial General Intelligence (AGI)? (08:05) - What is Artificial Super Intelligence (ASI)? (11:43) - How Could We Get to ASI? (19:00) - Benefits and Risks of ASI (23:02) - Ethical Dilemmas and Considerations (24:53) - Futurist Predictions (Ray Kurzweil & Others) (27:09) - Current Developments & Global Competition in AI (29:02) - Implications for Journalism & Media (30:49) - Who Will Control ASI? Accessibility and Risks (31:17) - Final Thoughts and Call to Engagement Follow Yumi: https://yumiwilson.me https://www.linkedin.com/in/yumiwilson/ Sponsored By: Saspod https://saspod.com/register?refcode=ProfYumiQcLU
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The Future of AI in Journalism with Esther Paniagua
In this episode of A Journalist’s Guide to AI we have Esther Paniagua an award winning independent journalist and author specialised in science, technology and cybersecurity. Esther has received numerous accolades for her work, including multiple journalism awards. She has been recognized as one of the Top 100 Women Leaders in Spain and named one of Forbes’ Top 100 Most Creative People in Business. She also teaches “AI Journalism” at various universities. Esther shares her journey from early tech adoption to becoming an expert in AI and journalism, discussing how AI is rapidly transforming the media landscape. They delve into the challenges faced by small newsrooms in adopting AI, the growing dominance of synthetic and AI-generated content (with a stark prediction that 90% of online content could be AI-generated by 2026), and the ongoing shifts in business models as platforms like Google and generative AI tools impact media revenue. Esther emphasizes the importance of regulation, sustainable funding, and responsible technology development to preserve quality journalism in the face of these changes. She also highlights environmental concerns related to data centers and AI’s carbon footprint, advocating for informed consumer choices and public protest as forms of accountability. Towards the end of the episode, Yumi and Esther discuss practical tips for choosing more privacy-conscious and eco-friendly digital tools. Esther also noted that the actual estimation of how much money Google owes to US publishers annually for use of their content on its platform is US$10–12 billion. Researchers also estimate (using a conservative assumption) that Facebook owes US$1.9 billion to publishers annually. Source: IPD Columbia00:00 - Funding Challenges for Small Newsrooms & Rise of AI Content00:53 - Introducing Esther Paniagua01:48 - Esther’s Journey into Journalism & Technology04:10 - Specializing in Science and Technology Journalism05:19 - Reporting on AI: Early Days and IBM Watson07:07 - First AI Applications in Journalism08:22 - Did We See AI’s Influence on Journalism Coming?09:56 - How Google Changed the Media Landscape12:01 - How Search and AI Are Shaping News Consumption13:25 - AI Platforms Paying for News Content: Worth It?14:57 - Why Pay for News Anymore? Is It Inevitable?15:56 - The Role of Regulation in AI & Journalism19:39 - Saving Journalism: Funding and the Need for Quality News22:29 - Where Does the Money Come From? The Broken Business Model27:15 - Covering Technology’s Social & Environmental Impact32:39 - The Environmental Impact of AI: Energy and Water Use35:35 - Are There Greener AI Solutions? Deep SEQ Example40:16 - Regulation: The US vs. EU Approach to AI Oversight42:28 - What If There’s No AI Regulation?43:38 - Consumer Power: What You Can Do46:04 - Practical Tips: Privacy-Friendly Tech Alternatives51:25 - Social Media, Network Effects, and Consumer Choice52:06 - Where to Follow Esther’s Work54:03 - Wrap-Up, Final Thoughts, and Thank YouFollow Esther: https://estherpaniagua.com/ https://www.linkedin.com/in/estherpaniagua/ https://www.instagram.com/e_paniagua Esther's book: https://estherpaniagua.com/en/books/ Follow Yumi: https://yumiwilson.me https://www.linkedin.com/in/yumiwilson/ Sponsored By: Saspod https://saspod.com/register?refcode=ProfYumiQcLU
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Deep Seek vs Chat GPT: Exploring the New Frontier in AI Language Models
In this episode of "A Journalist's Guide To AI," host Yumi Wilson dives into a head-to-head comparison between Deep Seek—the new open-source AI model from China—and ChatGPT. Yumi breaks down the hype surrounding Deep Seek, discussing its rapid rise, open-source nature, and the impact it's had on tech stocks and online conversations. To get a clearer picture of how these two AIs stack up, Yumi runs three real-world tests: summarising the day’s top news, crafting an engaging headline, and writing a press release. While Deep Seek impresses with its innovation and price, it stumbles on timely, accurate information, at times serving up outdated stories. ChatGPT, on the other hand, continues to shine with up-to-date facts and structured writing, but is not without its own hiccups, like producing an inaccurate headline. Yumi emphasises the importance of fact-checking all AI-generated content and encourages listeners to try the prompts themselves. The episode concludes with practical takeaways on the strengths and weaknesses of each model and a reminder that, as always, original human thinking remains essential. (00:00) – Introduction & What is Deep Seek? (01:57) – Why Journalists Should Care: Comparing Deep Seek & ChatGPT (02:51) – Setting Up the Head-to-Head Test: CTC Model Explained (04:10) – Round 1: News Summaries Showdown (07:28) – Round 2: Best Headline Battle (08:30) – Round 3: Press Release Challenge (11:37) – Final Verdict: Which AI Wins? (12:25) – Key Takeaways & Best Practices (13:29) – Acknowledgements & Closing Follow Yumi: https://yumiwilson.me Follow Yumi: https://yumiwilson.me https://www.linkedin.com/in/yumiwilson/ Sponsored By: Saspod https://saspod.com/register?refcode=ProfYumiQcLU
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Media and Marketing Professionals: Unlock the Secrets to Effective AI Prompts
In this episode, I’ll show you how to craft prompts that actually get AI tools like ChatGPT, Claude, and Perplexity to work for you. Here’s what you’ll learn:How Context Makes AI Responses Relevant and UsefulI’ll explain why giving the AI the "who," "why," and key details is like briefing a colleague—it sets the stage for more accurate and helpful responses.Why Defining the Task Keeps AI FocusedYou’ll hear how clear, specific instructions can keep the AI on track, avoiding vague or off-topic outputs.How Constraints Lead to Better ResultsI’ll share how adding limits like word count, tone, or format can sharpen AI’s responses, making them concise, clear, and tailored to your needs.I’ll walk you through the CTC framework—Context, Task, Constraints—a simple but powerful way to transform vague prompts into actionable, meaningful results. You’ll see how this approach compares to most people's hit-or-miss method when working with AI.By the end of this episode, you’ll feel confident using the CTC method to get precise, actionable insights for anything from press releases to social media posts to news summaries. Let’s dive in!Media, PR, Communications, Journalism, Marketing, AI, Prompting Follow Yumi: https://yumiwilson.me https://www.linkedin.com/in/yumiwilson/ Sponsored By: Saspod https://saspod.com/register?refcode=ProfYumiQcLU
A Journalist’s Guide to AI helps journalists, PR pros and media creators use AI without losing their voice. Hosted by professor and coach Yumi Wilson, each episode offers practical tips, real prompts, and ethical strategies using tools like ChatGPT, Otter.ai, and Perplexity. Learn how to write smarter, research faster, and stay human in a tech-driven world. Produced in partnership with Saspod. Subscribe for weekly insights that keep you sharp, creative, and ahead of the curve.
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