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AI responsibility in a hyped-up world

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Manage episode 359003231 series 3449256
Content provided by Per Axbom. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Per Axbom or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

6 episodes

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Manage episode 359003231 series 3449256
Content provided by Per Axbom. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Per Axbom or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

6 episodes

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