Nachhaltigkeit unter Druck: Vom Hype zum Backlash
Vom Hype zum Backlash – was bleibt vom Nachhaltigkeitsversprechen, wenn der Rückenwind fehlt? Eine kritische Bestandsaufnahme zwischen Compliance, Kulturkampf und Kurskorrektur.
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A secret AI study. A biometric orb. A new internet ID.
After researchers sparked outrage with a secret AI experiment on Reddit, the platform considers adopting Sam Altman’s World ID system via a device called the Orb. But is biometric identity the solution, or just another dubious business model?
How AI Hijacks Human Connection
AI doesn’t just train on academic or artistic content. Increasingly, it feeds on blogs, guides, and independent journalism; any content that shows human care, credibility, or craft. Summarized and displayed in search results, this content becomes invisible at the source. Welcome to a world where creators are reduced to training fodder.
Why Human Learning Is Not Machine Learning
Machines improve performance. Humans seek meaning. This piece explores why learning is more than optimization – and what we lose when we confuse adaptation with transformation.
The Myth of AI Democratization
Some still believe that training large language models (LLMs) on copyrighted content is a form of “democratizing knowledge.” But when you look closely at how these models actually handle the material they ingest, the picture looks a lot less heroic – and a lot more extractive.
Meta’s Silent Swallowing of My Academic Legacy
My academic legacy? A monograph, a handful of articles—and now a starring role in training Meta’s Llama 3. No royalties. No citations. Just silent swallowing by a machine. A story of vanishing recognition in the age of AI.
Vorauseilender Gehorsam oder nacheilende Authentizität?
Viele Unternehmen verabschieden sich still und leise von ihren Diversity-Zielen. Nicht aus Zwang, sondern aus Kalkül. Was bleibt von Haltung, wenn sie nicht mehr nützt?
Klarna’s AI Whiplash: From Job Cuts to Human Epiphanies
From “AI can do all jobs” to “Humans are invaluable!”: Klarna’s AI journey is a masterclass in hype whiplash. But behind the cringe, the CEO’s rhetoric surfaces real ethical tensions. What happens when honesty about AI and jobs is no longer whispered in executive suites – but shouted?
Was KI-Prognosen (fast immer) übersehen
Radiologen, Lehrer, Ärzte – alles ersetzbar? KI-Prognosen sind heute allgegenwärtig – aber oft erschreckend eindimensional. Was sie meist ausklammern: den Sinn, den Menschen in ihre Arbeit bringen. Ein Plädoyer für mehr Menschlichkeit – mit einem Zitat von Viktor Frankl.
Predicting Personality from Faces? Bad Science, Worse Ethics
Some say facial recognition and AI can assess your potential by analyzing your face. But what seems like innovation may be pseudoscience at scale – and a threat to privacy, fairness, and human rights.
Keeping AI Weird (for Safety Reasons)
AI makes mistakes differently from humans. And that’s a good thing. This post explores why we shouldn’t train machines to fail like humans and why weirdness might be an important safety feature of AI.
Frankl, KI und die Reduktion des Menschen
Wenn wir den Menschen auf ein Datenmodell verkürzen, verlieren wir das, was uns menschlich macht. Inspiriert von einem Text Viktor Frankls aus dem Jahr 1965 zeigt dieser Beitrag, warum die Reduktion des Menschen auf KI-Logik ein gefährlicher Irrweg ist: wissenschaftlich, ethisch und existenziell.
