AI responsibility in a hyped-up world
Carefully with Per Axbom - A podcast by Per Axbom
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It's never more easy to get scammed than during an ongoing hype. It's March 2023 and we're in the middle of one. Rarely have I seen so many people embrace a brand new experimental solution with so little questioning. Right now, it's important to shake off any mass hypnosis and examine the contents of this new bottle of AI that many have started sipping, or have already started refueling their business computers with. Sometimes outside the knowledgeof management.AI, a term that became an academic focus in 1956, has today mostly morphed into a marketing term for technology companies. The research field is still based on a theory that human intelligence can be described so precisely that a machine can be built that completely simulates this intelligence. But the word AI, when we read the paper today, usually describes different types of computational models that, when applied to large amounts of information, are intended to calculate and show a result that is the basis for various forms of predictions, decisions and recommendations.Blog post: AI responsibility in a hyped-up world
