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.
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?
The most powerful AI applications stem primarily from private corporations driven by profit. This means that questions of AI ethics must always be linked to business ethics, and its core elements like corporate responsibility, accountability along the value chain and towards stakeholders, and safe and responsible products.
