From this perspective, it becomes clearer why so-called inauthentic use appears as a distinct risk category in the European Union’s Digital Services Act. Fake accounts, automated or partially automated behaviors, and artificially amplified distribution patterns are not singled out because

When a majority of online activity is produced by automated systems, the question is no longer whether bots exist, but what kind of internet we are actually using. The “dead internet” idea captures this unease, even if its more extreme

The Deloitte incident (see Part I.) shows that the real risk of generative AI in professional environments is not the technology itself, but the institutional conditions under which it is deployed. AI does not eliminate responsibility—it merely reshapes where responsibility

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

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

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

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

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,

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