AI With Humans or AI Without Humans: Where Does the Deloitte Model Fail? – Part I.
Expensive, government-commissioned reports built on fabricated studies may sound at first like a tabloid-style “AI scandal,” but the story runs much deeper. The recent Canadian and Australian Deloitte cases—involving uncontrolled Gen AI use without validation—do not simply reveal technical errors. They
“Blind” Models, Invisible Biases: the Limits of Algorithmic Fairness
Modern machine learning systems have become part of our social infrastructure, which means that the biases they transmit are not just technical glitches but real legal and ethical risks. In practice, bias often persists even when protected attributes are formally
AI Act vs. reality: technical obstacles to compliance and the possible workarounds – Part II.
Fundamental-rights compliance: everyone wants something different A persistent tension emerges between industry actors and civil rights groups. Industry argues that it is unclear why they are held to detailed human-rights compliance, especially on anti-discrimination, while other actors with comparable risk face
AI Act vs. reality: technical obstacles to compliance and the possible workarounds – Part I.
The EU’s AI Act promises a unified framework for trustworthy AI, yet day-to-day implementation is already colliding with overlapping rules, uneven obligations and missing standards. Interviews and recent analyses show the biggest friction points: a one-size-fits-all approach, transparency gaps for
Not Neutral – Detecting Political Tilt in Large Language Models
Large Language Models are fast becoming the mediators between information sources and users, so their value signals matter. A recent peer-reviewed study in Nature’s Humanities and Social Sciences Communications finds a measurable rightward shift in models’ political placement across versions,
From Text to Action: World Models in Practice (Part II.)
In practical applications and in the context of World Models (WMs), industrial robotics is usually mentioned first, and for good reasons. A robot that relies on a world model does not merely repeat a pre-programmed sequence of movements. It notices
From Text to Action: World Models in Practice (Part I.)
In recent years, Large Language Models (LLMs) and their multimodal counterparts have advanced considerably, yet their ability to understand the physical world and predict consequences remains limited. World Models (WMs) aim to fill this gap by building internal, time-evolving representations
Between Child Protection and Mass Surveillance: The EU’s Chat Control Debate
Since 2023 the European Union has been preparing a regulation that aims to strengthen the protection of children online at the expense of digital privacy. According to the proposal, not only on mobile phones but on every digital device and
Hype or Value? The Real Measure of Generative AI – Part II.
Generative AI has attracted a great deal of attention in recent years, yet in corporate applications a wide gap remains between promises and reality. Most projects do not deliver lasting and measurable benefits, although under certain conditions the technology can
Hype or Value? The Real Measure of Generative AI – Part I.
Generative AI has received a great deal of attention in recent years, yet in practice a wide gap remains between its promises and its real-world impact on corporate applications. In fact, most projects fail to deliver lasting and measurable benefits,