Artificial Intelligence Act - EU AI Act Podcast Por Quiet. Please arte de portada

Artificial Intelligence Act - EU AI Act

Artificial Intelligence Act - EU AI Act

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Welcome to "The European Union Artificial Intelligence Act" podcast, your go-to source for in-depth insights into the groundbreaking AI regulations shaping the future of technology within the EU. Join us as we explore the intricacies of the AI Act, its impact on various industries, and the legal frameworks established to ensure ethical AI development and deployment.

Whether you're a tech enthusiast, legal professional, or business leader, this podcast provides valuable information and analysis to keep you informed and compliant with the latest AI regulations.

Stay ahead of the curve with "The European Union Artificial Intelligence Act" podcast – where we decode the EU's AI policies and their global implications. Subscribe now and never miss an episode!

Keywords: European Union, Artificial Intelligence Act, AI regulations, EU AI policy, AI compliance, AI risk management, technology law, AI ethics, AI governance, AI podcast.

Copyright 2024 Quiet. Please Economía Política y Gobierno
Episodios
  • Europe Ushers in New Era of AI Regulation: The EU's Artificial Intelligence Act Transforms the Landscape

    Europe Ushers in New Era of AI Regulation: The EU's Artificial Intelligence Act Transforms the Landscape
    Sep 15 2025
    Picture this: it’s barely sunrise on September 15th, 2025, and the so-called AI Wild West has gone the way of the floppy disk. Here in Europe, the EU’s Artificial Intelligence Act just slammed the iron gate on laissez-faire algorithmic innovation. The real story started on August 2nd—just six weeks ago—when the continent’s new reality kicked in. Forget speculation. The machinery is alive: the European AI Office stands up as the central command, the AI Board is fully operational, and across the whole bloc, national authorities have donned their metaphorical SWAT gear. This is all about consequences. IBM Sydney was abuzz last Thursday with data professionals who now live and breathe compliance—not just because of the act’s spirit, but because violations now carry fines of up to €35 million or 7% of global revenue. These aren’t “nice try” penalties; they’re existential threats.

    The global reach is mind-bending: a machine-learning team in Silicon Valley fine-tuning a chatbot for Spanish healthcare falls under the same scrutiny as a Berlin start-up. Providers and deployers everywhere now have to document, log, and explain; AI is no longer a mysterious black box but something that must cough up its training data, trace its provenance, and give users meaningful, logged choice and recourse.

    Sweden is case in point: regulators, led by IMY and Digg, coordinated at national and EU level, issued guidelines for public use and enforcement priorities now spell out that healthcare and employment AI are under a microscope. Swedish prime minister Ulf Kristersson even called the EU law “confusing,” as national legal teams scramble to reconcile it with modernized patent rules that insist human inventors remain at the core, even as deep-learning models contribute to invention.

    Earlier this month, the European Commission rolled out its public consultation on transparency guidelines—yes, those watermarking and disclosure mandates are coming for all deepfakes and AI-generated content. The consultation goes until October, but Article 50 expects you to flag when a user is talking to a machine by 2026, or risk those legal hounds. Certification suddenly isn’t just corporate virtue-signaling—it’s a strategic moat. European rules are setting the pace for trust: if your models aren’t certified, they’re not just non-compliant, they’re poison for procurement, investment, and credibility. For public agencies in Finland, it’s a two-track sprint: build documentation and sandbox systems for national compliance, synchronized with the EU’s calendar.

    There’s no softly, softly here. The AI Act isn’t a checklist, it’s a living challenge: adapting, expanding, tightening. The future isn’t about who codes fastest; it’s about who codes accountably, transparently, and in line with fundamental rights. So ask yourself, is your data pipeline airtight, your codebase clean, your governance up to scratch? Because the old days are gone, and the EU is checking receipts.

    Thanks for tuning in—don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.

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    4 m
  • "EU's AI Regulatory Revolution: From Drafts to Enforced Reality"

    "EU's AI Regulatory Revolution: From Drafts to Enforced Reality"
    Sep 13 2025
    You want to talk about AI in Europe this week? Forget the news ticker—let’s talk seismic policy change. On August 2nd, 2025, enforcement of the European Union’s Artificial Intelligence Act finally roared to life. The headlines keep fixating on fines—three percent of global turnover, up to fifteen million euros for some violations, and even steeper penalties in cases of outright banned practices—but if you’re only watching for the regulatory stick, you’re completely missing the machinery that’s grinding forward under the surface.

    Here’s what keeps me up: the EU’s gone from drafting pages to flipping legal switches. The European AI Office is live, the AI Board is meeting, and national authorities are instructing companies from Helsinki to Rome that compliance is now an engineering requirement, not a suggestion. Whether you deploy general purpose AI—or just provide the infrastructure that hosts it—your data pipeline, your documentation, your transparency, all of it must now pass muster. The old world, where you could beta-test generative models for “user feedback” and slap a disclaimer on the homepage, ended this summer.

    Crucially, the Act’s reach is unambiguous. Got code running in San Francisco that ends up processing someone’s data in Italy? Your model is officially inside the dragnet. The Italian Senate rushed through Bill 1146/2024 to nail down sector-specific concerns—local hosting for public sector AI, protections in healthcare and labor. Meanwhile, Finland just delegated no fewer than ten market-surveillance bodies to keep AI systems in government transparent, traceable, and, above all, under tight human oversight. Forget “regulatory theater”—the script has a cast of thousands and their lines are enforceable now.

    Core requirements are already tripping up the big players. General-purpose AI providers have to provide transparency into their training data, incident reports, copyright checks, and a record of every major tweak. Article 50 landed front and center this month, with the European Commission calling for public input on how firms should disclose AI-generated content. Forget the philosophy of “move fast and break things”; now it’s “move with documentation and watermark all the things.”

    And for those of you who think Europe is just playing risk manager while Silicon Valley races ahead—think again. The framework offers those who get certified not just compliance, but a competitive edge. Investors, procurement officers, and even users now look for the CE symbol or official EU proof of responsible AI. The regulatory sandbox, that rarefied space where AI is tested under supervision, has become the hottest address for MedTech startups trying to find favor with the new regime.

    As Samuel Williams put it for DataPro, the honeymoon for AI’s unregulated development is over. Now’s the real test—can you build AI that is as trustworthy as it is powerful? Thanks for tuning in, and remember to subscribe to keep your edge. This has been a quiet please production, for more check out quiet please dot ai.

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    5 m
  • EU's AI Act Reshapes the Tech Landscape: From Bans to Transparency Demands

    EU's AI Act Reshapes the Tech Landscape: From Bans to Transparency Demands
    Sep 11 2025
    If you’re tuning in from anywhere near a data center—or, perhaps, your home office littered with AI conference swag—you've probably watched the European Union’s Artificial Intelligence Act pivot from headline to hard legal fact. Thanks to the Official Journal drop last July, and with enforcement starting August 2024, the EU AI Act is here, and Silicon Valley, Helsinki, and everywhere in between are scrambling to decode what it actually means.

    Let’s dive in: the Act is the world’s first full-spectrum legal framework for artificial intelligence, and the risk-based regime it established is re-coding business as usual. Picture this: if you’re deploying AI in Europe—yes, even if you’re headquartered in Boston or Bangalore—the Act’s tentacles wrap right around your operations. Everything’s categorized: from AI that’s totally forbidden—think social scoring or subliminal manipulation, both now banned as of February this year—to high-risk applications like biometrics and healthcare tech, which must comply with an arsenal of transparency, safety, and human oversight demands by August 2026.

    General-Purpose AI is now officially in the regulatory hot seat. As of August 2, foundation model providers are expected to meet transparency, documentation, and risk assessment protocols. Translation: the era of black box models is over—or, at the very least, you’ll pay dearly for opacity. Fines reach as high as 7 percent of global revenue, or €35 million, whichever hurts more. ChatGPT, Gemini, LLaMA—if your favorite foundation model isn’t playing by the rules, Europe’s not hesitating.

    What’s genuinely fascinating is the EU’s new scientific panel of independent experts. Launched just last month, this group acts as the AI Office’s technical eyes: they evaluate risks, flag systemic threats, and can trigger “qualified alerts” if something big is amiss in the landscape.

    But don’t mistake complexity for clarity. The Commission’s delayed draft release of the General-Purpose AI Code of Practice this July exposed deeper ideological fault lines. There’s tension between regulatory zeal and the wild-west energy of AI’s biggest players—and a real epistemic gap in what, precisely, constitutes responsible general-purpose AI. Critics, like Kristina Khutsishvili at Tech Policy Press, say even with three core chapters on Transparency, Copyright, and Safety, the regulation glosses over fundamental problems baked into how these systems are created and how their real-world risks are evaluated.

    Meanwhile, the European Commission’s latest move—a public consultation on transparency rules for AI, especially around deepfakes and emotion recognition tech—shows lawmakers are crowdsourcing practical advice as reality races ahead of regulatory imagination.

    So, the story here isn’t just Europe writing the rules; it’s about the rest of the world watching, tweaking, sometimes kvetching, and—more often than they’ll admit—copying.

    Thank you for tuning in. Don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.

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    4 m
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