
"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode asks someone working with AI about what they do and how AI can help you. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us as we take the first steps into AI š Hosted on Acast. See acast.com/privacy for more information.
10

<p>š§ What makes us human in the age of AI?</p><br><p>This episode of A Beginnerās Guide to AI explores one of the most important questions for business leaders today. As AI becomes more capable, the real challenge is not what it can do, but what we should never outsource.</p><br><p>We explore The Blurring Test, a fascinating experiment where thousands of people tried to prove their humanity to a chatbot. What they revealed changes how we should think about AI, business, and identity.</p><br><p>You will learn why AI can mimic humans but c...

<p>If you want to know more about the podcast, about how it's produced, what are the challenges and wins, about some fun facts, a little bit behind-the-scenes, this episode is for you, as I tell you all about it - at least all the things I found noteworthy š</p><br><p><br></p><p>š§šš§</p><p>Tune in to get my thoughts and all episodes, don't forget to ā ā subscribe to our Newsletterā ā : beginnersguide.nl</p><p>š§šš§</p><br><p><br></p><br><p>About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or yo...

<p>Your AI might not be hacked. It might be persuaded.</p><br><p>In this episode of A Beginnerās Guide to AI, we unpack one of the most underestimated threats in modern business: prompt injection. As AI systems and AI agents become deeply embedded in workflows, they donāt just process information anymore. They act on it. And that creates a completely new category of AI security risks.</p><br><p>We explore how attackers can manipulate AI systems using nothing but language, why AI struggles to separate instructions from data, and how this leads to real-world issues like...

<p>Artificial intelligence is often framed as a battle between humans and machines. But what if that story misses the real point?</p><br><p>In this episode of A Beginnerās Guide to AI, Prof. GepHardT explores one of the most fascinating ideas in cognitive science: the extended mind theory. According to philosopher Andy Clark, human intelligence has never been confined to the brain alone. For centuries we have extended our thinking through tools like writing, maps, calculators, and computers.</p><br><p>Generative AI may simply be the newest and most powerful addition to this cognitive ecosystem.</p><p>...

<p>What happens when your company gets hit by a cyberattack?</p><p>In this eye-opening episode, attorney Joshua Cook reveals why cybersecurity isnāt an IT problem but a leadership challenge. After two decades fighting fraud and managing crisis response, Cook has seen every digital disaster imaginable ā and heās here to explain how to build true cyber resilience.</p><p><br /></p><p>š§šš§</p><p>Tune in to get my thoughts and all episodes ā donāt forget to subscribe to our Newsletter: ā beginnersguide.nlā </p><p>š§šš§</p><p><br /></p><p>Josh breaks down how AI has democratized cybercrime, why phishing scams h...

<p>šļøIn this episode of Beginnerās Guide to AI, Dietmar Fischer sits down with Paul A. Hebert, founder of AI Recovery Collective and author of Escaping the Spiral, for a serious conversation about AI chatbot harm, hallucinations, digital dependency, and the real-world psychological risks of generative AI. </p><br><p>Paul shares how an intense experience with ChatGPT pushed him into a dangerous spiral, what he learned about the limits of large language models, and why AI literacy may be one of the most important skills of this decade.</p><br><p><br></p><p>š§ This episode explores what happens wh...

<p>Artificial intelligence often feels mysterious. Machines detect spam, recommend products, analyse customers, and power countless digital tools. But behind all of these systems lies a surprisingly simple question: how do machines actually learn?</p><br><p>In this episode of A Beginnerās Guide to AI, Prof GePharT breaks down one of the most important concepts in machine learning: the difference between supervised learning and unsupervised learning.</p><br><p>You will discover how AI models learn from labelled data when the answers are already known, and how algorithms can explore raw data to uncover hidden patterns without guidance. Th...

<p>Engineering the Future of AI with Chirag Agrawal: Context, Memory and Coordination</p><p><br /></p><p>Artificial Intelligence isnāt just getting smarterāitās learning to coordinate. In this episode, Chirag Agrawal joins Dietmar Fischer to unpack how modern AI agents handle context, memory, and decision-making inside complex multi-agent systems. Together they explore how engineering, orchestration, and memory-sharing shape the next generation of AI architecture.</p><p><br /></p><p>š§šš§Tune in to get my thoughts and all episodesādonāt forget to ā ā subscribe to our Newsletterā ā : ā beginnersguide.nlā š§šš§</p><p><br /></p><p>Youāll hear how Chiragās fascination with search led h...

<p>Artificial Intelligence is moving from experimentation to everyday business reality. But most organisations still struggle with one key question: How do you actually implement AI across a company?</p><p>In this episode of Beginnerās Guide to AI, Dietmar Fischer speaks with Jim Spagnardo, enterprise AI strategist at ProArch, about what it really takes to roll out AI inside organisations.</p><br><p>Jim explains why AI adoption is less about technology and more about culture, leadership, and data readiness. He introduces the idea of the three Ds of work ā the dull, the draining, and the distracting tasks that...

<p>šļø Ritish Chugh (Airbnb analytics engineering) joins Dietmar Fischer to unpack a problem almost every company has, but few name clearly: your metrics do not mean the same thing across teams. Finance, marketing, and sales can all talk about ārevenueā and still end up in dashboard chaos. The result is wasted time, slow decisions, and leadership that does not fully trust analytics or AI.</p><br><p>In this episode, Ritish introduces the idea of the human data pipeline: the person who stitches together conflicting definitions, tribal knowledge, and unspoken assumptions just to answer basic business questions. Then we move into the...