A Beginner's Guide to AI

Dietmar Fischer

"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode either asks someone working with AI about what they do and how AI can help you or it explains an important concept/idea. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us and learn everything you need to know on how to use AI in the best way 🚀 🎙️ About The Host, Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Hosted on Acast. See acast.com/privacy for more information.

  1. AI Or Not AI // Dietmar's Opinion

    37 min fa

    AI Or Not AI // Dietmar's Opinion

    🤖 AI or Not AI: Why Businesses Cannot Ignore AI Without Losing Their Edge AI is no longer a futuristic question for businesses. It is already part of how companies write, research, plan, automate, market, and make decisions. But the real question is not simply whether to use AI. The real question is how to use AI without becoming dependent on it, without ignoring its costs, and without letting it weaken human judgment. In this episode of Beginner’s Guide to AI, Dietmar Fischer takes a personal and critical look at the question: AI or not AI? The answer is not a naive “yes” and not a nostalgic “no.” AI is a powerful tool, and businesses that ignore it may end up like organizations that ignored computers, printing presses, or other major technologies. But using AI blindly creates its own risks. The episode looks at the environmental impact of AI, including energy and water use, the possible effects of AI on jobs and inequality, and the political consequences of large-scale unemployment. It also explores why AI ethics cannot be reduced to simple slogans. Bias, discrimination, monopolies, and concentration of power are real problems, but banning AI is not a serious business strategy. A central theme is AI deskilling. If people ask AI everything, they may slowly lose the ability to think, evaluate, and decide for themselves. For business leaders, marketers, and founders, this is not a minor issue. AI can improve productivity, but it can also hide errors, produce convincing nonsense, and make teams less critical if they stop questioning the output. Key highlights from the episode: 🤖 Why businesses cannot simply ignore AI ⚡ The ecological cost of AI and why sustainable AI matters 👥 How AI may affect jobs, inequality, and reskilling 🧠 Why AI literacy and critical thinking are now business skills ⚠️ The risk of AI deskilling and hidden AI errors 🏢 Why responsible AI adoption matters for companies and SMEs 📚 What history teaches us about refusing important technologies 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 Quotes from the Episode: “There’s no way around AI, so you have to use AI.”“You should not ask AI everything.”“Don’t stop thinking.” Chapters: 00:00 AI or Not AI: The Core Question 02:17 The Environmental Cost of AI 04:05 Jobs, Inequality, and Political Risk 06:25 Why Businesses Cannot Simply Refuse AI 08:48 Deskilling, Hidden Errors, and Human Judgment 11:56 Technology Adoption and the China Lesson About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    11 min
  2. Can You Trust Your AI? Vasant Dhar on Robot Taxis vs. Robot Doctors // REPOST

    1 g fa

    Can You Trust Your AI? Vasant Dhar on Robot Taxis vs. Robot Doctors // REPOST

    🤖🧠 Thinking with Machines with Vasant Dhar What happens when AI stops being a tool and starts becoming a collaborator and an agent? In this episode, NYU Stern professor and AI pioneer Vasant Dhar takes us through the real story behind modern AI, and the practical frameworks we need for AI trust, AI governance, and the coming era of agentic AI. 🚀 What you will learn - Why “thinking with machines” is a bigger idea than “thinking machines” - How the automation frontier separates low-risk automation from high-stakes human control - Why healthcare has lots of data but still struggles to make good decisions - Why mental health is a dangerous place to outsource empathy to machines - What edge cases in AI mean and why they matter for self-driving cars - How AI agents change the governance conversation, from obligations to restrictions to rights 📌 Key highlights - A practical definition of trust in AI based on error rates and consequences - AI in healthcare data: turning medical trails into usable decision intelligence - The future of work: AI as an amplifier, not a substitute, unless you let it become a crutch - Governance questions that no one gets to avoid once agents can act in the world 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Quotes from the Episode 💬 “Trust depends on how often a machine makes mistakes and the consequences of those mistakes.” “In physical health, I’m very optimistic. In mental health, not so.” “It’ll likely lead to a bifurcation of humanity… skills get amplified… or people rely on the machine as a crutch.” Chapters ⏱️ 00:00 Vasant Dhar’s origin story in AI and early expert systems 05:08 A Brave New World warning and why optimism still needs guardrails 07:26 AI in healthcare vs mental health and why feelings change the rules 12:37 The trust heat map and the automation frontier in real life 18:21 Edge cases, bounded rationality, and what machines pay attention to 26:03 The future of work and why AI amplifies both skill and decline 36:23 Governance, AI agents, and how much agency we should allow 44:05 AI wow moments and the next frontier: integrated machine senses 47:15 Where to find the book, podcast, and newsletter Where to find Vasant Dhar 🔎 - Visit Vasant's Website, also to find all the links to shops with "Thinking with Machines", his book: vasantdhar.com - Listen to his Podcast: bravenewpodcast.com - and get his Newsletter: vasantdhar.substack.com Music credit: "Modern Situations" by Unicorn Heads` Hosted on Acast. See acast.com/privacy for more information.

    54 min
  3. 🧑🏻‍🎓 Why AI Literacy Will Matter More Than Coding

    3 gg fa

    🧑🏻‍🎓 Why AI Literacy Will Matter More Than Coding

    AI is not just a technology. It is a socio-technical tool. Artificial intelligence is becoming one of the defining technologies of our time. Yet understanding AI is no longer just a technical skill. It is becoming a life skill. In this episode, AI researcher and entrepreneur Taniya Mishra explains why AI literacy, AI ethics, and AI fluency will become essential for students, professionals, and leaders alike. From founding SureStart in 2020 before the AI boom to helping schools build AI curricula and policies, Taniya has been preparing the next generation for an AI-driven future long before ChatGPT entered the mainstream. We discuss how AI already influences our decisions, why schools need clear AI policies, what humans still do better than machines, and why responsible AI use must be taught alongside technical skills. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠: https://beginnersguide.nl 📧💌📧 🔥 Quotes from the Episode "Every person has to know about AI or it will negatively impact their careers and lives.""If AI takes away human agency, accountability and oversight, then it becomes a parasite.""The things that make us most human are exactly what AI is not very good at." ⏱ Chapters 00:00 Taniya Mishra's Journey Into AI 08:31 Why AI Literacy Matters For Everyone 17:12 AI Is Already Shaping Daily Life 21:58 Is AI A Parasite Or A Partner? 29:11 Teaching Responsible AI In Schools 36:00 What Humans Still Do Better Than AI 45:00 AI Regulation, Ethics And The Future 49:28 Where To Find Taniya Mishra 🌐 Where to Find Taniya: LinkedIn: linkedin.com/in/taniya-mishra-phd/ Website: mysurestart.com 🎧 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at https://argoberlin.com Hosted on Acast. See acast.com/privacy for more information.

    58 min
  4. The Scariest AI Scenario Isn't Terminator, Dr. Mark Khater Says

    5 gg fa

    The Scariest AI Scenario Isn't Terminator, Dr. Mark Khater Says

    🎙️ Why AI Could Make Smart Teams Dangerously Alike Artificial intelligence is changing how we work, think, and make decisions. But what if the biggest risk isn't that AI becomes smarter than humans? What if the real danger is that humans become too similar to each other? In this episode, Mark Khater joins me to discuss one of the most fascinating AI concepts I've heard recently: Silent Coordination Failure. As more people use the same AI systems, access the same information, and reach the same conclusions, organizations may unknowingly lose diversity of thought. Faster decisions can become worse decisions. Alignment can become groupthink. And highly intelligent teams can end up making catastrophic mistakes together. We also discuss AI governance, regulation, investment management, human judgment, diversity of thought, and why trust remains uniquely human. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠subscribe to our Newsletter⁠⁠: https://beginnersguide.nl 📧💌📧 👨‍💻 About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at https://argoberlin.com/ 🎯 Quotes from the Episode • "Machines think fast, but humans think deep." • "Trust is a human trait. It's not between a man and a machine." • "If we're all highly aligned on the wrong page, it's catastrophic." ⏱ Chapters 00:00 Mark's AI Journey Since 1994 04:45 Why Universities Matter In The AI Era 12:20 AI Regulation, Europe And The Infrastructure Debate 19:00 AI In Investing And Human In The Loop Systems 28:20 Silent Coordination Failure And The Loss Of Diversity 39:00 Why Human Intelligence Still Matters 🔗 Where To Find Dr. Mark Mohamed Khater LinkedIn: linkedin.com/in/dr-mohamed-mark-k/ Website: aqm2.ai Hosted on Acast. See acast.com/privacy for more information.

    56 min
  5. AI Doesn't Break It, Bad Leadership Does // REPOST

    6 gg fa

    AI Doesn't Break It, Bad Leadership Does // REPOST

    🤖🧠 AI is making strategy cheap. Adoption is still expensive. In this episode, Dietmar Fischer sits down with Bud Caddell (NOBL) to unpack what leaders miss when they roll out generative AI and expect instant results. Bud shares how his team thinks about AI change management, why “turning on Copilot” is not an adoption plan, and what happens to consulting when LLMs can produce “firm-grade” recommendations in seconds. You will also hear the story behind ConsultingSlop.com, a strategy generator that models the reasoning styles of major consulting firms and outputs polished advice instantly. What started as a parody quickly became a serious signal about commoditization, incentives, and the real differentiator: execution, trust, and organizational design. Key takeaways you can apply immediately: ✅ How to approach Microsoft Copilot adoption strategy like a redesign effort, not a software toggle ✅ Why AI literacy and training reduce fear, resistance, and “adoption theater” ✅ What the agents wave means in practice, including platforms like Agentforce ✅ How “vibe coding” changes prototyping speed and risk for teams 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Quotes from the Episode“AI is this incredible wave that I think is gonna fundamentally change individual organizations, but the entire economy, society at large.”“We turned on Copilot, so why aren’t we more productive? … it’s a design process.”“My big prediction is that over the next 18 months, we’re gonna see a lot of backpedaling… and sunk cost fallacy.”Chapters00:00 Bud’s path from software to organizational change and why AI feels different 04:20 ConsultingSlop.com, vibe coding, and when AI strategy gets uncomfortably believable 06:30 Copilot mandates vs real adoption, why productivity math fails without redesign 16:40 AI as a catalyst for deeper issues: brand story, conflict, and culture 19:25 The next 18 months: investment traps, backpedaling, and what leaders should do 38:00 Agents, Agentforce, and Bud’s personal AI toolkit plus wow moments and wrap Where to find the GuestBud Caddell: https://budcaddell.com/NOBL: https://nobl.io/Consulting Slop: https://consultingslop.com/LinkedIn: linkedin.com/in/budcaddell/ Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    51 min
  6. It's Not Terminator, It's Algorithms That Define War in The Future

    17 giu

    It's Not Terminator, It's Algorithms That Define War in The Future

    Artificial intelligence is no longer just changing business. It is changing warfare. In this episode of A Beginner's Guide to AI, we explore how militaries around the world are deploying AI for intelligence gathering, cybersecurity, surveillance, autonomous drones, and military decision-making. We examine the technologies already shaping modern defense and the ethical questions that follow. From Project Maven's AI-powered analysis of drone footage to Anthropic's public dispute with the Pentagon over AI guardrails, this episode dives deep into one of the most important and controversial applications of artificial intelligence. You'll learn why military AI is becoming a strategic priority, why autonomous weapons create unprecedented governance challenges, and why the future of warfare may be determined as much by algorithms as by traditional military hardware. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠subscribe to our Newsletter⁠⁠: beginnersguide.nl 📧💌📧 🎙️ About Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com 🔥 Quotes from the Episode "Information can be delegated. Responsibility cannot.""Military AI isn't primarily about killer robots. It's mostly about helping humans process enormous amounts of information faster.""The real battle is not over AI capabilities. It's over who gets to define the rules." 🎧 Whether you're a business leader, entrepreneur, marketer, policymaker, or simply fascinated by artificial intelligence, this episode will help you understand why military AI is becoming one of the defining technologies of the 21st century. ⏱️ Chapters 00:00 Military AI: The Next Arms Race 05:32 Intelligence, Cyber Warfare, and Drones 11:49 Autonomous Weapons and the Ethics Debate 16:29 The Cake Army: Military AI Made Simple 20:45 Anthropic, Claude Gov, and the Fight Over AI Guardrails 25:50 The Future of Military AI and Human Judgment Hosted on Acast. See acast.com/privacy for more information.

    33 min
  7. AI Can Make Bad Teams Worse - Gustavo Razzetti Tells You Why

    15 giu

    AI Can Make Bad Teams Worse - Gustavo Razzetti Tells You Why

    AI is entering meetings, strategy sessions, writing workflows, leadership decisions, and difficult conversations. But what if AI does not automatically make teams smarter? What if it simply amplifies what is already there? In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Gustavo Razzetti, culture strategist and author of Forward Talk, about why teams get stuck, why leaders avoid the conversations that matter, and why agreeable AI can weaken critical thinking inside organizations. Gustavo explains the three patterns that keep teams trapped: blame, avoidance, and groupthink. He also shows how AI can either help leaders reflect more clearly or become another way to avoid the real conversation. The result is a sharp, practical discussion about AI and leadership, team communication, workplace culture, productive conflict, and the human side of artificial intelligence. You will learn why polite agreement can be dangerous, why difficult conversations become more expensive the longer they are avoided, and why leaders should use AI as a thinking partner, not as a substitute for trust, judgment, or direct conversation. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 🎙️ Quotes from the Episode “Teams don’t rise to the level of their potential. They fall to the level of conversations.”“AI amplifies existing patterns, both the good and the bad.”“You should use AI to help you think, but the conversation has to happen with the person.” ⏱️ Chapters 00:00 Why Teams Fall to the Level of Their Conversations 03:13 Blame, Avoidance, and Groupthink 06:11 How to Start Difficult Conversations 09:38 How AI Changes Team Communication 15:23 Using AI to Reflect Without Outsourcing Judgment 19:22 Why Agreeable AI Weakens Critical Thinking 25:09 What Leaders Avoid and Why It Matters 28:15 AI, Writing, and the Role of the Author 32:12 The Arrogance of AI and Human Certainty 35:51 AI Risk, Regulation, and Human Rules 38:18 Where to Find Gustavo Razzetti 🔗 Where to find the Guest Website: gustavorazzetti.com/ Book: Forward Talk: The Bold New Method for Getting Teams Unstuck // Find wherever you buy your books! LinkedIn: linkedin.com/in/gustavorazzetti/ About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Hosted on Acast. See acast.com/privacy for more information.

    45 min
  8. Move Fast And Don't Break Things: Secure AI Adoption with Samantha Mehta // REPOST

    12 giu

    Move Fast And Don't Break Things: Secure AI Adoption with Samantha Mehta // REPOST

    🎙️ In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Samantha Mehta, solutions engineering leader at AIRIA, about how companies can adopt AI without losing control. If your teams are already experimenting with ChatGPT and AI tools, the real question is not “Should we use AI?” but “How do we use it safely, visibly, and profitably?” Samantha explains what enterprise AI security looks like in real life, including AI guardrails that can audit, block, redact, and replace sensitive data. She also unpacks AI governance and AI observability, because you cannot manage what you cannot see. A key theme is shadow AI and AI sprawl: people will use AI anyway, so organizations need sanctioned paths that reduce risk while accelerating adoption. On the practical side, this conversation goes deep on agentic workflows. Samantha describes how agents become more than prompts through routing, actions, approvals, looping over documents like CSVs, and scheduled runs that create repeatable outcomes. From internal GPT alternatives to workflows that touch expenses, supply chain planning, and customer support, the episode is packed with grounded examples and a clear starting path. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠⁠⁠⁠beginnersguide.nl⁠⁠⁠⁠ 📧💌📧 About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Chapters 00:00 Welcome and why Samantha got into AI 01:26 What ARIA does: build, test, secure, deliver enterprise AI 02:19 Real use cases from simple internal GPT to complex workflows 08:27 How to start: guardrails first, then build your first agent 11:32 Agentic workflows explained: routing, actions, human in the loop 17:12 Why security and governance matter and why blocking fails 31:14 AI sprawl and shadow AI: monitoring and risk management 40:00 Wow use cases and the future: Blade Runner, change, and jobs 48:42 Where to find Samantha and ARIA Quotes from the Episode 🪧 “I personally can’t think of a case where an LLM needs to know my social security number.” 🪧 “People are going to use it no matter what. If you don’t enable safe usage, they’ll still use it.” 🪧 “Agentic workflows are so much more than just ping an LLM and get a response.” 🪧 “I always say: build, test, secure, and deliver your usage of AI.” Where to find Samantha: ➡️ LinkedIn: Samantha Mehta on LinkedIn ➡️ Company: look at what AIRIA does Music credit: "Modern Situations" by Unicorn Heads Hosted on Acast. See acast.com/privacy for more information.

    55 min
Elenco completo (368)

Descrizione

"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode either asks someone working with AI about what they do and how AI can help you or it explains an important concept/idea. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us and learn everything you need to know on how to use AI in the best way 🚀 🎙️ About The Host, Dietmar Fischer Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Hosted on Acast. See acast.com/privacy for more information.

Informazioni

  • Creatore
    Dietmar Fischer
  • Anni di attività
    2023 - 2026
  • Puntate
    368
  • Classificazione
    Contenuti adatti a tutti
  • Copyright
    © Dietmar Fischer
  • Sito web del podcast
    A Beginner's Guide to AI

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