In this episode of Chatting GPT, host Maryrose Lyons of the AI Institute speaks with Dr. Lollie Mancey about the intersection of AI and anthropology, exploring how technology influences human relationships and societal structures. They discuss the importance of ethical AI, the need for agency in a technology-driven world, and the implications of AI on work and purpose. The conversation also touches on global perspectives on AI regulation, the challenges of abundance versus scarcity, and the necessity of fostering human connections in an increasingly digital landscape.

Guest: Dr Lollie Mancey

Title: Digital Anthropologist, Co-presenter of RTÉ's Futureville

Takeaways

Peer-reviewed research in AI is often outdated by publication.

The convergence of disciplines is crucial for understanding AI's impact.

Humans attribute emotions to AI systems, complicating our relationship with technology.

Consequential thinking is essential in AI development and ethics.

Agency in technology use is divided between passive consumers and active learners.

Leadership must embrace complexity and uncertainty in AI governance.

Global perspectives on AI regulation vary, with different cultural implications.

Abundance in resources does not guarantee fairness or meaning.

Ethical AI requires a shift in mindset towards social responsibility.

Human connections are vital in countering the loneliness exacerbated by AI.

Chapters

00:00 Introduction to AI and Anthropology

03:06 The Intersection of AI and Human Relationships

05:56 Consequential Thinking in AI Development

09:02 Agency and the Bifurcation of Human Experience

11:43 The Role of Leadership in AI Ethics

14:50 Global Perspectives on AI Regulation

17:43 The Future of Work and Purpose in an AI World

20:43 Abundance vs. Scarcity in Economic Models

23:48 The Need for Ethical AI and Social Responsibility

26:52 Human Connection in the Age of AI

30:01 Conclusion and Future Considerations

Resources:

• Futureville - RTÉ programme imagining Ireland in 2050
• Connect with Lollie: drlollie.ie | LinkedIn: Dr Lollie (L-O-L-L-I-E)

Chatting GPT is produced by AI Institute. For AI adoption in built environment firms, visit https://weareaiinstitute.com/

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Show Notes

Summary: In this episode of Chatting GPT, Maryrose Lyons speaks with Jo Joyce, a partner at Taylor Wessing, about the intersection of AI, law, and regulation. They discuss the EU AI Act, its implications for innovation, and how it compares to AI regulations in China. Jo explains the categories of high-risk AI systems and the challenges businesses face in navigating regulatory uncertainty. The conversation also touches on Jo's role as a trustee at the Vagina Museum, highlighting the importance of gynaecological health education. They conclude with insights on the future of law in the age of AI and practical advice for businesses.

Takeaways:

• The EU AI Act aims to balance innovation and regulation.
• There is a generational shift in how technology impacts work.
• China's AI regulation is more streamlined compared to the EU.
• High-risk AI systems include those used in safety-critical applications.
• Regulatory uncertainty can overwhelm businesses, but clarity is key.
• The Vagina Museum educates on gynaecological health and challenges.
• Legal frameworks need to adapt to the evolving landscape of AI.
• Transparency and user trust are essential in AI regulation.
• Businesses should focus on understanding public perception of their AI use.
• Proactive engagement with legal advice can mitigate risks.

Chapters

00:00 Introduction to AI Regulation and Cybersecurity

02:58 The EU AI Act: Innovation vs Regulation

05:53 Comparative Analysis: EU vs China AI Regulation

08:58 Understanding High-Risk AI Systems

11:58 Navigating Regulatory Bodies and Compliance

14:47 Future of AI Regulation: Expectations and Changes

18:16 Shifting Responsibilities in AI Literacy

20:53 The Getty vs. Stability AI Case: Implications for Copyright

25:12 The Need for Legal Reform in the Age of AI

27:33 The Vagina Museum: A Unique Educational Initiative

30:43 Practical Advice for Ethical AI Use

Connect with Jo: https://www.linkedin.com/in/jkjoyce/

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AI Implementation in Construction: A Conversation with Charlie Corcoran of SISK

In this episode of Chatting GPT, host Maryrose founder of the AI Institute, sits down with Charlie Corcoran, Head of Technology, Architecture, and Data at Sisk. They discuss the gradual integration of AI in the construction industry, emphasising productivity improvements, operational efficiency, and data management. Charlie shares insights into specific AI applications within Sis, including their internal intranet, safety data analysis, and the use of computer vision. They also talk about navigating the challenges of AI adoption, addressing shadow AI, and the importance of user groups in fostering AI literacy and collaboration within the organisation. Tune in to learn how AI is reshaping the construction sector and the strategies that are making this transformation possible.

Show Notes

Guest: Charlie Corcoran, Head of Technology, Architecture and Data, Sisk

00:00 Introduction

00:38 The Role of AI in Construction

02:11 Prioritising AI Projects

03:20 Real-World AI Applications

06:16 AI Adoption Challenges and Solutions

08:42 Shadow AI and Data Security

11:42 Maximising Productivity with AI

18:16 Advice for AI Implementation

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Breffni Greene spent 10 years as a practicing architect at Henry J Lyons before spotting ChatGPT on screens across the studio—line managers had no idea their teams were using it. Shadow AI was rampant. Rather than crack down, he convinced leadership to create a new role: Head of AI and Design Innovation. The taboo was real—colleagues worried AI would erase their writing skills and creative thinking. But once people found their hook, everything changed. The managing director discovered new prompting techniques. Junior staff transformed messy interview transcripts into publishable narratives using 11 Labs. Report writing shifted from painful compliance to creative storytelling. Since December, they've processed 500 million tokens at 0.17 cents per message using OmniChat's multi-model platform.

Breffni's 2035 vision? Sitting with his moleskin and pen, drawing architecture, knowing the mundane work is handled—proof humans didn't lose to machines.

Guest: Breffni Greene, Head of AI and Design Innovation, Henry J Lyons Architects

Key Topics:

[03:09] Shadow AI discovery - ChatGPT on screens across the studio, line managers unaware, the catalyst for Breffni's role.

[04:28] Breaking the taboo - AI was genuinely taboo in architecture. Concerns about losing writing skills and creative language.

[04:55] Individual wins matter - Even the managing director discovers new techniques. People must find how AI fits their own work.

[06:22] The book project - 11 Labs identified voices in messy transcripts, enabling authentic conversational narratives with proper citations.

[09:13] Transcription workflows - Talking through building concepts naturally, then structuring compliance documentation while preserving creative passion.

[24:18] 500 million tokens at 0.17 cents - Massive volume, minimal cost using multi-model strategy via OmniChat platform.

[24:41] Meet Henry - Firm-specific AI persona. GPT-4o for strategy, Claude Sonnet for analysis, Gemini Flash for documents.

[26:27] 2035 vision - Moleskin and pen in beautiful urban space, knowing mundane work is handled. Humans still create value.

Key Takeaways:

• Shadow AI signals appetite, not a problem to eliminate
• Cultural change requires individual wins, not platform rollouts
• Multi-model strategies improve cost efficiency dramatically
• Authentic voice matters more when AI generates generic content

Connect: LinkedIn - Breffni Greene

Replay from 2025.. Breffni's cultural transformation blueprint remains essential.

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We're already cyborgs—our phones are extensions of our minds. But 2.7 billion people remain in digital darkness. Dr Lollie Mancey, digital anthropologist and RTÉ Futureville co-presenter, challenges the notion that AI will free us to paint in meadows. Reality? Jobs will vanish, universal basic income may arrive, and we'll face a purpose crisis when work no longer defines us. She poses the era's defining question: when your AI assistant comes home, is it at your table or recharging in the garage? Your answer reveals how you see technology's role. She's betting 80% on AGI by 2030—not gradual progress, but desperate need for higher intelligence. From 1950s washing machines to ChatGPT, labour-saving tools never save time—they shift expectations. The future isn't written, and AI won't decide our fate—we will.

Guest: Dr Lollie Mancey

Title: Digital Anthropologist, Co-presenter of RTÉ's Futureville

Key Topics:

[01:46] Humans plus technology, not instead of - Why AI isn't pixie dust to sprinkle on everything. Anthropologists are finally having their moment as the human element becomes critical.

[03:05] 2.7 billion in digital darkness - Who's missing from the AI conversation? Ireland's bubble makes us forget vast populations have no internet access.

[04:23] Who benefits from time saved? - Will employers reward productivity over hours? The washing machine didn't free women from housework—it just changed expectations.

[06:17] Universal basic income and purposelessness - When manual labour vanishes, what happens to identity? Two-generation unemployment creates malaise, addiction, depression. The pension (€270/week) is our only test case.

[07:10] The 1970s leisure prediction - Someone walked into a Dublin classroom and wrote "leisure time vs work time" on the blackboard. Were they right? Will we choose to work, or will the choice be made for us?

[26:31] AGI by 2030: 80% odds - Lollie's bold prediction: artificial general intelligence within six years, triggered by an unsolvable crisis requiring higher brain power.

[27:21] The interruption problem - New voice AI that interrupts changes everything. If you're rude to ChatGPT, are you training yourself to be rude to humans?

[28:08] At the table or in the garage? - The defining question: where does your AI companion belong? Younger generations already see them as household members, not machinery.

[29:28] The invasive technology concern - Why Lollie and neuroscience professors agree: don't open the hard box protecting our soft brains unless absolutely necessary.

Key Takeaways:

• We're passive cyborgs now; we need to become active by understanding algorithms
• The future of work isn't about productivity gains—it's about identity reconstruction
• AI adoption without considering the 2.7 billion offline is incomplete thinking
• Your answer to "table or garage?" reveals your entire worldview on technology
• Labour-saving tools historically shift work, they don't eliminate it

Resources:

• Futureville - RTÉ programme imagining Ireland in 2050
• Connect with Lollie: drlollie.ie | LinkedIn: Dr Lollie (L-O-L-L-I-E)
• Podcast: Available at drlollie.ie

Chatting GPT is produced by AI Institute. For AI adoption in built environment firms, visit https://weareaiinstitute.com/

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When Allan Russell joined Musgraves as Head of AI and Process Automation, he thought the 147-year-old Irish retailer wasn't using much AI. Within weeks of his "roadshow" around the business, he'd uncovered 17 unauthorised applications—before even speaking to IT. Then the real numbers emerged: 300,000 hits to Grammarly in 30 days across just 1,700 office users. Shadow AI wasn't theoretical—it was rampant and ungovernanced. Rather than panic, Allan built a strategy around what people were already doing, rolling out Microsoft Copilot and establishing four pillars: process automation, AI, culture, and governance. His advice? Stop hesitating—your competitors are already using these tools. And never deploy AI without first talking to the people whose problems you're trying to solve.

Guest: Allan Russell, Head of AI and Process Automation, Musgraves

Key Topics:

[04:16] The shadow AI discovery - How an informal "roadshow" uncovered 17 AI applications before consulting IT.

[06:44] 300,000 Grammarly hits - Network data revealed 300,000 Grammarly hits in 30 days across 1,700 users, plus 1,200 ChatGPT hits.

[08:02] Four foundational pillars - Process automation and AI supported by culture and governance. Why psychological safety matters as much as guardrails.

[10:32] Rolling out Microsoft Copilot - Why starting with enterprise solutions beat playing whack-a-mole with shadow IT.

[23:32] Two pieces of advice - (1) Don't hesitate—competitors are already moving. (2) Understand pain points first. Design thinking beats technology-first thinking.

[24:57] Beyond internal consumers - What's next: recipe managers, price optimisation, identifying opportunities across Musgraves' franchisee ecosystem.

Key Takeaways:

• Quantify your shadow AI problem through network traffic analysis
• Relationship capital precedes technical deployment
• Start with pain points, not platforms
• Governance enables speed by giving people permission to experiment safely

Connect: LinkedIn - Allan J Russell

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When Munich's citizens were invited to reimagine one of their main streets using AI, the results didn't just sit in a presentation deck—they were actually built. Damiano Cerrone, founder of Urbanist AI and Co-Plan AI, has worked with over 80 organisations worldwide to transform how cities engage with their residents. Instead of traditional surveys asking "what do you want?", his platforms let people visualise, evaluate, and iterate on urban design ideas in real-time. The twist? Damiano argues AI models should be biased—tuned to each participant's perspective—because that's what makes collaboration meaningful. From training Eastern European mayors to test policies with generative AI, to working with the UN Development Programme and Dubai's Prime Minister's office, he's pioneering what he calls "collaborative public governance." The challenge ahead: making European city centres attractive to humans again after decades of infrastructure-led dehumanisation.

Guest: Damiano Cerrone

Company: Urbanist AI & Co-Plan AI

Location: Helsinki, Finland

[02:02] Munich's streets transformed

How a citizens' engagement process during a festival led to an AI-imagined green space and water feature being built as a prototype on one of Munich's main streets.

[03:29] Training mayors in Eastern Europe

Working with the UN Development Programme to help mayors use generative AI to evaluate and test their own policies—compressing months of work into rapid visualisation cycles.

[05:33] The collaboration vs. replacement question

Why cities are asking "why engage people when we can simulate engagement with AI agents?"—and Damiano's response: treating AI as a billion colleagues, not a billion replacements.

[08:37] When what people want is wrong

How AI enables people to evaluate their own ideas by seeing them visualised, leading to minds being changed through the process itself rather than being told "no" by experts.

[16:38] Embracing bias in AI models

Damiano's contrarian stance: models should be tuned to individual participants' biases because that's what creates interesting, fruitful conversations—not sterile consensus.

[18:13] The mega-trend for European cities

Why attracting human beings back to dehumanised city centres is the biggest urban challenge ahead, following the post-COVID exodus.

• Urbanist AI: site.urbanistai.com
• CityLab Berlin: Monthly neighbourhood engagement programme (Kids Lab)
• Futureville (RTÉ): Irish television series imagining Athlone in 2050
• Connect with Damiano: LinkedIn

Damiano's work demonstrates how participatory AI can close the gap between consultation and implementation—particularly relevant for architecture practices, engineering consultancies, and planning departments struggling with meaningful stakeholder engagement. His platforms have been adopted by governments worldwide, proving that citizen-generated spatial ideas can move from digital visualisation to physical intervention.

Chatting GPT is produced by AI Institute. If you're interested in AI adoption for built environment firms, visit https://weareaiinstitute.com/

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Remember when we thought Microsoft Copilot was just a "glorified file manager"? Well, things have changed in 2025.

In this episode, host Maryrose Lyons is joined by the AI Institute's Head of Course Development, Emma Marlow, to discuss why the team has gone from "bearish to bullish" on Copilot. If you have a license sitting unused because the early versions felt clunky or uncreative, this is the episode that will change your mind.

Emma breaks down the "game-changing" new features that have turned Copilot into a genuine productivity powerhouse—from the integration of ChatGPT-5 to the magic of "Ask Agent" in M365 . plus, we geek out on the "no-code" potential of Copilot Studio and share exclusive insights on what’s coming in 2026 (spoiler: it involves Claude).

In this episode, we cover:

• Security First: Why Copilot wins on data privacy and the "redact, redact, redact" fatigue of other LLMs.
• The "Ask Agent" Feature: How to bring your custom agents directly into Word and Excel to analyze your documents.
• Copilot Studio: Why this "sandbox" is the hidden gem for building powerful workflows without writing code.
• 2026 Predictions: The scoop on Claude coming to Azure and why your PowerPoint deck might finally look good.

Links & Resources:

• Copilot Masterclass https://weareaiinstitute.com/product/copilot-course
• Core Skills https://weareaiinstitute.com/product/ai-core-skills-2026
• Emma on LinkedIn: https://www.linkedin.com/in/demonllamalimited/

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For this episode, Maryrose Lyons speaks with Geoffrey Allen, CEO and co-founder of Mersus Technologies, an immersive training company specialising in VR for life sciences and manufacturing.

In this illuminating chat, Geoff discusses Mersus's unique approach, which includes pioneering hand-tracked only mobile VR experiences to avoid complex controllers. They explore the concept of spatial computing as the "next digital frontier," moving past the 2D internet into a 3D environment.

Key takeaways from the conversation:

• Discover how Mersus uses VR to standardise operations and eliminate contamination risks in high-value processes, such as training staff how to properly put on a gown or handle expensive compounds.
• Immersive training is self-directed and self-paced, leading to dramatic improvements in training time (75–80% quicker) and higher retention rates through muscle memory.
• The Role of AI: Geoff explains that the future involves integrating AI, including custom LLMs, to eventually allow for no-code virtual environment creation.
• Talent Development: Learn about the Mersus talent programme that trains college students in the necessary game engine skillsets (Unity and Unreal) for making commercial immersive media. By the way, they just picked up a prestigious award for Excellence in Talent Development for their programme which is a huge achievement.

Tune in to hear why Geoff says, "If Apple's betting it, you have to keep an eye on it," when it comes to spatial technology.

• Geoff's LinkedIn: https://www.linkedin.com/in/geoffreyallenirl/
• Mersus Technologies Website: https://mersus.io/
• Lex Fridman Interview with Mark Zuckerberg: https://www.youtube.com/watch?v=MVYrJJNdrEg
• Avatar Academy on Meta Quest Store: https://www.meta.com/experiences/avatar-academy/8856539844374985/

#spatialAI #3d #VR

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The Reality of Vibe Coding Rob explains the difference between traditional no-code tools and AI-assisted development. Whilst an eight-year-old can build a functioning game through prompting, there's a critical gap: vibe coding gets you 60-70% of the way to a working prototype, but production applications require security, reliable hosting, and proper edge case handling. It's brilliant for prototyping, less brilliant for finishing.

The Death of Traditional Coding Rob hasn't written a line of code in six months. He's shifted from typing on mechanical keyboards to managing AI agents - a role that sits between traditional coding and management. He can build in minutes what previously took days or weeks, though he admits missing the dopamine hit of that immediate code feedback loop.

When Lovable Fails (and When It Works) The conversation tackles the uncomfortable truth about AI development tools: developers won't take your Lovable prototype and polish it up. These tools excel at helping non-technical founders validate ideas and create something tangible to show customers or managers. If it proves viable, that's when you either learn to build properly or hire a developer.

Agents in 2026: Beyond the Hype Rob cuts through the "year of agents" narrative. Whilst large language models are plateauing, the tooling around agents is making substantial leaps. Cursor demonstrates how agents plugged into existing workflows deliver genuine value. Enterprise spending on AI agents has increased significantly, with companies finding practical sweet spots rather than abandoning ship after failed proof-of-concepts.

Where to Start with Agents For small business owners and marketers, Rob recommends starting with Notion's business plan - use the agent in the bottom right corner to build databases and organise your work. From there, progress to Microsoft Copilot, then eventually tools like Cursor if you want to build custom applications.

The YouTube Growth Strategy Rob's channel success stems from obsession and authenticity rather than gimmicks. His advice: spend a week on the hook and packaging (title and thumbnail) rather than slapping them together in five minutes after creating the content. Study analytics religiously and commit to consistent output.

Key Takeaway: AI development tools are transforming who can build software, but they're not magic. Understanding their limitations - that crucial 30% gap between prototype and production - is essential for anyone looking to implement AI practically in their business.

Connect with Rob: YouTube https://www.youtube.com/@RobShocks

About ChattingGPT: The only podcast dedicated to how real Irish people are actually implementing AI in the workforce - no theory, no fluff, just genuine challenges and practical breakthroughs.

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