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Think AI just makes things up? You’re right, it often does. But there’s a fix. It’s called RAG, and it helps AI ground its answers in real, relevant information. In this episode, I’ll explain how it works and why it’s essential if you rely on AI for content or communication.
In today’s episode, I'm talking about something you’ve probably used without even knowing it: RAG – Retrieval-Augmented Generation.
Most large language models, like GPT, Claude, Gemini, work by predicting the next word in a sentence. They’ve been trained on huge datasets, everything from books to websites, forums, Reddit commentary, podcasts, and Wikipedia, essentially everything on the Internet. But once that training is done, the model doesn’t learn anything new unless it’s retrained. That’s called being a static model.
Here’s where RAG comes in. Retrieval-Augmented Generation is a technique that lets these models access external information, like documents, PDFs, databases, or web content, at the time of your query.
Instead of relying only on what the model remembers from training, RAG lets it retrieve relevant information first, and then generate a better, more accurate answer.
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European Commission AI Assessment Tools for EU AI Act Compliance
The European Commission and related stakeholders have introduced several tools to support organisations in complying with the EU AI Act. These tools help identify your obligations, assess the risk associated with your AI systems, and guide you through compliance requirements.
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Cloudflare, a major internet infrastructure provider powering about 20% of global web traffic, has rolled out a significant policy change: as of July 2025, it is blocking AI web crawlers from scraping content by default unless website owners explicitly permit them. This marks a turning point in the landscape of AI model training and content creator rights.
By default, AI crawlers (bots used by companies such as OpenAI, Google, Anthropic, Meta, and more to collect content for large language models) are now blocked from accessing any website using Cloudflare’s services unless permission is granted by the site owner.
This shift means AI companies can no longer freely scrape huge swathes of the Internet for data without direct consent or compensation for the content creators.
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I didn’t write this headline—but I wish I had! Credit goes to Forbes and author William Arruda for the brilliant title: Why Smart People Own AI at Work. It instantly grabbed my attention, and in today’s episode, I’m jumping into why this mindset matters more than ever.
Hello and welcome back to the AI SIX podcast, a daily-six-minute show, helping you understand how AI is changing your working life and re-shaping marketing, communications, and the world of work as we know it. I’m your host, Joanne Sweeney.
In today's episode, we explore how AI is supercharging workplace productivity, taking on burnout tasks, and learning to work alongside you like a true digital partner. But here’s the kicker—many professionals still hide their use of AI, and that’s a mistake. Being open about your AI use doesn’t make you look lazy—it makes you look smart, strategic, and future-ready.
If you want to lead, stay relevant, and boost your impact at work, it’s time to own your AI.
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America is the country that started the AI race. And as president of the United States, I’m here today to declare that America is going to win it.
These are the words of President Trump at the AI Summit this week when he unveiled, ‘Winning the AI Race: America’s AI Action Plan’.
Hello and welcome back to AI SIX, the podcast that keeps you up-to-date with AI in a non-nonsense way. I’m Joanne Sweeney.
In today’s episode, we dive into the 28-page blueprint that aims to accelerate innovation, expand AI infrastructure, and lead on the global stage. From sweeping deregulation and open-source support to high-stakes diplomacy and national security priorities, this is the most aggressive U.S. AI policy to date. Tune in to hear what’s changing, who it affects, and how America plans to stay ahead in the global AI race.
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Denmark is making history. It’s set to become the first EU country to give people copyright over their own faces, voices, and likenesses—a bold move in the fight against deepfakes and AI misuse.
In this episode, I explain what this landmark legislation means, why Denmark is leading the charge, and how it could shape the future of digital identity and AI regulation across Europe.
You’ll learn:
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Imagine telling ChatGPT: “Book my next podcast guest, draft the show notes, update my calendar, and email me when it’s done.” And it just… does it.
Welcome to the Agentic AI era.
In this episode, I’ll break down how ChatGPT Agents are the next big leap in AI. These aren’t chatbots waiting for prompts—they’re autonomous agents that remember your goals, take actions, and complete tasks on your behalf.
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I’m officially a Harvard graduate.
In this final entry of the Harvard AI Diaries, I wrap up an intense, unforgettable week at the Kennedy School, where I presented my AI Political Communications Assistant to a room of brilliant global leaders. It was a week of early mornings, late nights, and real applied learning that pushed me to think bigger about AI, leadership, and governance.
I came with a solid foundation in AI, but I’m leaving with a transformed perspective on how we can use these tools responsibly and meaningfully in our work. More than anything, it was the people who made this experience: world-class faculty, diverse classmates, and the kind of camaraderie you don’t forget.
Thank you for following this journey with me.
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This week on AI SIX, we’re taking a ride, literally.
Join me for a special carpool karaoke-style conversation as I drive through Cambridge and Downtown Boston with Dr Steve Morreale, a former federal agent and seasoned criminal justice professor with deep insights into leadership, ethics, and innovation in policing. He’s also the host of The CopDoc Podcast, where he speaks with thought leaders across law enforcement and criminal justice.
As we cruise past the iconic Harvard Square—where I’ve been studying this week as part of the Executive Education programme in Leading in Artificial Intelligence and Public Policy at Harvard Kennedy School—we talk candidly about how AI is reshaping the future of policing.
Plus, we throw in a few fun facts about Harvard, chat about tech in Boston, and reflect on what ethical AI leadership really looks like.
Buckle up it’s an episode packed with insight, action, and a few unexpected turns.
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Today, we tackle the tough questions shaping AI in government and the public sector:
- Can AI outputs be copyrighted?
- Are LLMs infringing on copyright?
- Who’s responsible for misinformation?
We dive into live case studies like OpenAI vs The New York Times, explore the “liar’s dividend,” and debate trust and governance in an AI-flooded world.
Plus, what are agentic AI agents, and how are they already changing workflows? And what does generative AI mean for the future of work and skills?
The hype is fading, and the hard questions are here. Join me for Day 4 from Harvard.
Want to go deeper on AI?
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From the publisher's feed
Introducing the AI SIX Podcast: Learn AI on the Go
Artificial intelligence is changing marketing, offering new ways to connect, create, and deliver value. To help marketers adapt, I’m…
What Is the AI SIX Podcast?
The AI SIXPodcast is a six-minute daily podcast tailored for marketers looking to understand and use AI effectively. Hosted by me, Joanne Sweeney, a communications and marketing practitioner, author, and trainer with years of experience in digital transformation, this podcast provides clear, actionable insights to support your work.
Why Six Minutes?
Marketers often have busy schedules. The AI SIX Podcast offers focused content you can fit into your day, whether during your morning routine, commute, or a short break. Each episode delivers practical tips you can apply immediately, helping you stay informed without feeling overwhelmed.
What to Expect
Here’s what the podcast includes:
Who Is This Podcast For?
This podcast is ideal for marketing professionals who want to: