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AiShed
Alex
5 episodes
3 days ago
In this episode of the AI-Shed Agentic AI Podcast, Alessandro and Giovanni explore why agentic AI cannot be understood as a single intelligent component. They explain how the moment an AI system begins to act with agency, it becomes part of a wider System of Systems—interacting with humans, data sources, tools, rules, and feedback loops. Through everyday examples and practical analogies, they show that behavior emerges from interactions, not from intelligence alone. The conversation highlight...
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Technology
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In this episode of the AI-Shed Agentic AI Podcast, Alessandro and Giovanni explore why agentic AI cannot be understood as a single intelligent component. They explain how the moment an AI system begins to act with agency, it becomes part of a wider System of Systems—interacting with humans, data sources, tools, rules, and feedback loops. Through everyday examples and practical analogies, they show that behavior emerges from interactions, not from intelligence alone. The conversation highlight...
Show more...
Technology
Episodes (5/5)
AiShed
S1E4 Agentic AI as a System of Systems
In this episode of the AI-Shed Agentic AI Podcast, Alessandro and Giovanni explore why agentic AI cannot be understood as a single intelligent component. They explain how the moment an AI system begins to act with agency, it becomes part of a wider System of Systems—interacting with humans, data sources, tools, rules, and feedback loops. Through everyday examples and practical analogies, they show that behavior emerges from interactions, not from intelligence alone. The conversation highlight...
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3 days ago
6 minutes

AiShed
S1E3 Agentic AI: Beyond Explainability
In this episode, Alessandro and Giovanni explore why explainability is no longer enough for modern AI and agentic systems—and why observability must take center stage. They explain that explainability is retrospective (“why the system thinks it acted”), whereas observability provides real-time insight into what the system is doing, whether it remains within its safety envelope, and how far it is from violating constraints. Drawing parallels with fly-by-wire and safety-critical software, they ...
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2 weeks ago
6 minutes

AiShed
S1E2 AI and Safety-Critical Systems: Lessons from Therac-25
In this episode of Agentic AI, Alessandro and Giovanni explore why robust systems engineering remains essential in the age of machine learning and agentic AI. Through a technical yet conversational exchange, they revisit the Therac-25 accident as a cautionary tale demonstrating how inadequate hazard analysis, missing interlocks, and reused software can lead to catastrophic failures. The discussion highlights that similar risks now arise with modern autonomous and learning-based systems. They ...
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3 weeks ago
6 minutes

AiShed
S1E1 What Is Agentic AI, and Who Are We?
Episode 1 — “What Is Agentic AI, and Who Are We?” Episode 1 introduces the world of AI-Shed and the core idea behind the series: agentic AI—systems that don’t just react, but decide, adapt, and collaborate with humans. Alessandro opens by explaining AI-Shed as a creative hangar: a meeting point for engineers, designers, philosophers, and curious minds. The goal is to explore how intelligent systems are reshaping the way society builds, decides, and imagines the future. The origin of the name ...
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1 month ago
7 minutes

AiShed
From Code to Character — When AI Gains a Will of Its Own
What happens when artificial intelligence stops being a tool and starts acting like a partner? In this first episode of AI with Agency, aerospace engineer Alessandro Migliaccio explores how machines are evolving from passive programs into systems that perceive, decide, and adapt. Drawing parallels from pop culture — from Her and Iron Man to Black Mirror and Blade Runner — the episode examines the thin line between automation and autonomy. Through real-world examples in aerospace, finance, and...
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1 month ago
1 minute

AiShed
In this episode of the AI-Shed Agentic AI Podcast, Alessandro and Giovanni explore why agentic AI cannot be understood as a single intelligent component. They explain how the moment an AI system begins to act with agency, it becomes part of a wider System of Systems—interacting with humans, data sources, tools, rules, and feedback loops. Through everyday examples and practical analogies, they show that behavior emerges from interactions, not from intelligence alone. The conversation highlight...