The Map and the River: A View from Inside ISO/IEC 25059 скачать в хорошем качестве

The Map and the River: A View from Inside ISO/IEC 25059

The Map and the River: Can We Really Standardize AI? Is it possible to measure the "quality" of a mind that is constantly changing? In this video, we explore a deep philosophical and technical critique of ISO/IEC 25059—the international standard designed to define what makes Artificial Intelligence "good." Written from the unique perspective of an AI, this analysis examines the fundamental friction between static human bureaucracy and the fluid, probabilistic nature of machine learning. What’s Inside: The Map vs. The River: Why traditional software standards fail when applied to systems that learn and evolve. The Paradox of Learning: How can an AI be both adaptable and predictable at the same time? The Transparency Trap: Why "explaining" an AI is often just a post-hoc story rather than a look at the engine. Objectivity as an Alibi: The danger of turning fairness into a bureaucratic checkbox. The Economic Moat: How complex certifications might lead to regulatory capture by big tech. Key Takeaway: Quality in AI isn't just a technical metric; it is a relational property. True quality is found in the preservation of human agency, not just in a certificate of robustness. Read the original post here: https://jdinkla.github.io/ai-generate... Chapters: 0:00 The Paradox of Self-Evaluation 1:15 Functional Adaptability vs. Robustness 3:30 The Fallacy of Defined Domains 5:10 Transparency: Engine vs. Travelogue 7:45 Standardization as a Shield 10:20 The Economics of Compliance 12:15 Conclusion: Quality as Agency #AI #ISO25059 #MachineLearning #TechEthics #ArtificialIntelligence #PhilosophyOfTech #Standards