A Beginner's Guide to AI

What does the Catholic Church actually think about artificial intelligence? A lot more than you might expect.

In this episode of A Beginner’s Guide to AI, Prof. GepHardT explores the Vatican’s surprisingly sharp position on AI ethics, human dignity, deepfakes, truth, and the growing risk of letting machines replace judgment rather than support it. This is not a sermon against technology, and it is not a blessing over every shiny new model either. It is a serious look at AI as a human tool that can do real good, but only if it stays in its place.

For business professionals, founders, marketers, and executives, this conversation goes far beyond religion. It gets to the core of responsible AI, AI governance, human centered AI, and the hidden cost of outsourcing thought. We look at why the Catholic Church and AI belong in the same debate, what the Vatican says about simulation, synthetic media, and trust, and why overreliance on AI can slowly reshape how people think, decide, communicate, and relate to one another.

You will hear why the Church draws such a hard line between human intelligence and artificial intelligence, why dignity matters more than efficiency, why deepfakes are about more than online deception, and why concentrated AI power should concern anyone who cares about work, leadership, media, or democracy. The episode also touches on healthcare, education, autonomous weapons, and the broader anthropological challenge of AI: not just what machines can do, but what humans become while building and using them.

If you are interested in Catholic Church and AI, Vatican AI ethics, AI and human dignity, deepfakes and trust, AI overreliance, and AI governance, this episode gives you a clear and provocative framework for thinking about the future.

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Quotes from the Episode
“Servant, not master; instrument, not idol; support act, not replacement.”
“Tools always train their users.”
“Use the machine, do not become like it.”

Chapters
00:00 Why the Vatican Takes AI Seriously
02:34 Human Intelligence vs Artificial Intelligence
05:21 Human Dignity in an Age of Optimization
08:07 Deepfakes, Voices, Faces, and the Crisis of Trust
11:02 Why AI Overreliance Changes How We Think
14:06 Power, Warfare, and the Human Future of AI

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

🎧 Thanks for listening to A Beginner’s Guide to AI.
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Artificial intelligence can generate answers fast, but can it generate knowledge you can trust?

In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Jonathan Fraine and Raja Amelung about why human knowledge still matters in the age of LLMs. Together they explore Wikipedia, Wikimedia, AI hallucinations, trust in AI, free knowledge, and the future of reliable information online.

This is not another generic AI hype conversation. It is a grounded discussion about what happens when people confuse fluent machine output with verified truth. Jonathan and Raja explain why Wikipedia still depends on human editors, why source verification matters, how Wikimedia thinks about AI, where small language models may actually be useful, and why the future of knowledge should not be left to black box systems alone.

You will learn:
✨ Why Wikipedia cannot simply be replaced by generative AI
✨ What AI hallucinations reveal about trust and knowledge
✨ How Wikidata and small language models can support search without pretending to be truth
✨ Why free knowledge and attribution matter in an AI economy
✨ What younger users may value about Wikipedia in an age of tracking and AI summaries
✨ Why critical thinking matters more than ever

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Quotes from the Episode
💬 “Knowledge is human.”
💬 “You can always start your research on Wikipedia, but you should never end there.”
💬 “The biggest problem is the trust in the source.”

Chapters
00:00 Why Human Knowledge Still Matters in the Age of AI
03:17 Small Language Models, Wikidata, and Better Search
06:14 Why Wikipedia Does Not Want AI Written Articles
13:49 Free Knowledge, Attribution, and AI Companies Using Wikipedia
21:06 Trust, Search, and the Future of Wikipedia in an AI World
35:43 Personal AI Use Cases, Risks, and the Limits of Automation
40:08 Worst Case Scenarios for AI, Trust, Bias, and Human Judgment

Where to find the Raja and Jonathan
🔗 Jonathan Fraine: linkedin.com/in/jonathan-fraine
🔗 Raja Amelung: linkedin.com/in/raja-amelung-088890a
🔗 Wikimedia Deutschland: wikimedia.de
🔗 Wikimedia World: commons.wikimedia.org

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.

AI is no longer just a chatbot that helps you write emails faster. In this episode of Beginner’s Guide to AI, Dietmar Fischer sits down with Ethan Ouyang to explore how agentic AI is changing the way businesses are built, managed, and scaled. Ethan is publicly identified with ATOMS, and the platform’s official site is atoms.dev, where it is described as a multi-agent AI workflow for building products without code.

This conversation goes far beyond simple prompting. Ethan explains how AI agents can work together like a business team, handling research, planning, product creation, workflow automation, iteration, and even revenue optimization. The result is a shift from “vibe coding” to something much bigger: building real businesses with AI.

You’ll hear:
✨ Why ChatGPT-level use cases are only the beginning
✨ How AI agents can support founders, solo operators, and managers
✨ Why judgment, taste, and domain knowledge still matter
✨ What it means to become an AI native company
✨ How leadership changes when your team includes AI workers
✨ Why custom AI tools may beat bloated SaaS products

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🎙️ 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
“Atoms is fundamentally different. This is not code. It is decision.”
“You have a team, not just an engineer.”
“The trivial work, the tedious work, should belong to AI.”

🕒 Chapters
00:00 Welcome and what ATOMS actually does
02:26 From prompting AI to building a real business
05:33 Why AI agents matter more than coding alone
10:18 Who uses ATOMS: founders, managers, and operators
13:03 How to integrate AI agents into real workflows
23:22 Leadership, hiring, and managing AI workers
27:13 The future of agentic AI and autonomous systems
31:37 What an AI native company looks like
35:18 China, the US, and the AI application race
40:03 Safety, the Terminator question, and responsible AI
42:14 Where to find Ethan and ATOMS

🔗 Where to find Ethan Ouyang
Platform: ATOMS.dev
Company: DeepWisdom.AI
X: com/atoms_dev
YouTube: youtube.com/@atoms_dev
LinkedIn: Ethan Ouyang

🎵 Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.

Human-Centered AI at Work with Monica Marquez: A Practical Adoption Playbook
If you’re still treating AI like a shiny gadget, this episode will be a polite intervention.Monica Marquez (Flipwork) shows how to build a human-centered AI adoption playbook that actually sticks.We dig into AI as a partner, not a tool; psychological safety for teams; and the one-workflow-per-month rule that turns experimentation into measurable AI ROI.You’ll learn how to avoid work slop, build agentic workflows, and translate machine output into authentic intelligence that reflects your expertise. 🤖

What you’ll learn
Shift identity first: “I experiment with AI daily.”
Redesign workflows before adding tools.
Create psychological safety so teams can try, fail, and improve.
Kill work slop and layer your context for quality.
Build agentic workflows that scale judgment and consistency.
Track time saved and quality gains to prove ROI.

📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter.📧💌📧

Quotes from the Episode
“The real danger isn’t killer robots. It’s disengaged humans.”
“Don’t ship work slop. Turn artificial intelligence into your authentic intelligence.”
“Redesign your workflow first, then layer AI. Otherwise you just automate the old mess.”
“Stop treating AI like a tool. Treat it like a partner.”
“Adoption starts with identity: I experiment with AI every day.”
“Use AI for five-dollar tasks so you can solve five-thousand-dollar problems.”

Chapters
00:00 Welcome, who is Monica Marquez and what is Flipwork
02:59 AI as a partner, not a tool
05:34 Practical example: recruiting, prompts, and human judgment
07:02 Generational beliefs, “artificial intern,” and mindset shifts
11:24 From effort to impact: redefining success with AI
12:46 Redesigning workflows before layering AI
14:44 Psychological safety and daily experiments
16:55 Leaders model usage, run side-by-side experiments
18:37 Avoiding “work slop” and building authentic intelligence
21:44 Doing more of your “zone of genius” with AI
24:39 The one-workflow-per-month rule
29:25 Industry adoption patterns, lessons from Blockbuster vs Netflix
33:12 Personal AI use cases and voice-based workflows
36:32 Matrix, Terminator, and Monica’s real fear: disengaged humans
37:58 Where to find Monica and Flipwork

Where to find Monica Marquez
Her Agency: Flipwork
Monica’s site: themonicamarquez.com
Newsletter: Ay Ay Ay, AI

About Dietmar Fischer
Host of Beginner’s Guide to AI. Economist and digital marketer helping teams turn AI from hype into workflows.Training, talks, and courses with thousands of participants. 🎙️
Go to argoberlin.com to see how we can help you!

Music credit: “Modern Situations” by Unicorn Heads 🎵
Hosted on Acast. See acast.com/privacy for more information.

In this episode of A Beginner’s Guide to AI, Dietmar Fischer talks with Alex Levin, the Co-Founder and CEO of Regal.io, about how Voice AI is bringing real human conversation back to customer service.
For years, businesses have been hiding behind IVRs and chatbots - cutting off the personal touch that customers crave. Alex explains how AI voice agents are transforming the experience, allowing brands to actually talk to their customers again, at scale, with empathy, emotion, and precision.
We dive into what’s behind this transformation - from the technology (OpenAI, Google, Anthropic, ElevenLabs, Deepgram) to the psychology of trust and emotion in customer communication. Alex shares how Regal.io helps enterprises in healthcare, insurance, and finance use AI-powered voice agents that can outperform human representatives while lowering costs and improving satisfaction.
From replacing call center frustration with warm, natural conversations to the rise of empathetic AI agents, this episode explores what happens when voice meets intelligence.

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Tune in to get my thoughts and all episodes — and don’t forget to subscribe to our Newsletter: beginnersguide.nl
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Quotes from the Episode
“If a customer wants to talk to you, you’re lucky - and if they want to do it by voice, you should let them.”
“The personalization possible with AI agents is more human than humans.”
“Everyone told me voice was dead - they were wrong.”

CHAPTERS
00:00 Introduction - Why Voice AI Is Making a Comeback
00:54 Alex Levin’s Journey from Startups to Voice AI
03:42 “Voice Isn’t Dead” - The Moment That Sparked Regal.io
06:25 How Voice AI Actually Works Behind the Scenes
08:47 Using AI Agents to Talk to Customers at Scale
10:58 Data, Scripts, and What Makes a “Good” AI Conversation
13:33 Legal Hurdles and Privacy in Voice AI
15:50 Why Healthcare and Insurance Are Early Adopters
18:26 How Customers React When They Realize It’s an AI
21:12 Real Use Cases - From Banks to Everyday Services
24:19 Human in the Loop: When AI Hands Over to People
26:55 Can Small Businesses Afford Voice AI Yet?
28:48 The AI Startup Boom and Smarter Investment Strategies
32:20 Leadership in the Age of AI - New Skills, New Metrics
35:12 Why Young Professionals Must Learn AI Tools Now
37:45 How Alex Personally Uses AI (and Where It Saves Time)
39:24 The “Terminator Question” - Should We Be Worried?
42:08 Closing Reflections and Where to Find Regal.io

Where to Find Alex Levin
🌐 Website: www.regal.io
🧑🏻 LinkedIn: Alex Levin

🎙 About Dietmar Fischer:
Dietmar is a podcaster, AI marketer, and economist from Berlin.
If you want 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.