Digitalisering och artificiell intelligens har fått ett allt större fokus på senare år. Debatten handlar dock mest om vad tekniken kan användas till och om risken att robotar kan få mänskliga förmågor och egenskaper.
Vad händer när vi börjar tänka som maskiner?
Digitalisering
Digitaliseringen tar allt större plats i våra liv och vi förlitar oss allt mer på maskiner och ai. Men den stora risken är inte att maskiner blir som människor, utan snarare att människor blir som maskiner. När vi börjar tänka som maskiner tappar vi den yrkesrelaterade kunskapen och unika förmågan att göra kvalificerade bedömningar.

Digitaliseringen gör att människor börjar tänka som maskiner.
Foto: Stock Adobe.
Någonting är fel
Du är inloggad som prenumerant hos förlaget Pauser Media, men nånting är fel. På din profilsida ser du vilka av våra produkter som du har tillgång till. Skulle uppgifterna inte stämma på din profilsida – vänligen kontakta vår kundtjänst.
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Men Anders Sandblad, som lagt fram en avhandling inom Arbetsintegrerat lärande vid Högskolan Väst, pekar också på andra faror med tekniken.
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


