
Sustainability under Pressure: From Hype to Backlash
From hype to backlash: what remains of the sustainability promise that was once so hot is gone? A critical take on compliance fatigue, culture war dynamics, and strategic recalibration.
From hype to backlash: what remains of the sustainability promise that was once so hot is gone? A critical take on compliance fatigue, culture war dynamics, and strategic recalibration.
From hype to backlash: what remains of the sustainability promise that was once so hot is gone? A critical take on compliance fatigue, culture war dynamics, and strategic recalibration.
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?
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.
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.
Diversity once made it into glossy reports. Now it’s quietly shelved. Not because it must be, but because it’s easier that way. So what happens to values when they become inconvenient?
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?
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.
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.
When it comes to business ethics, AI companies ignore the most basic concepts linked to accountability, supply chain responsibility and product safety. Yes, AI companies create groundbreaking innovation. But that comes with the responsibility to ensure that what they do serves humanity, not the other way around.