– Med hjälp av Artificiell intelligens kan man analysera stora mängder data och hitta mönster som man använder till att göra prognoser. AI gör att man kan fatta mera faktabaserade beslut, säger Marcus Weiland.
AI som ett verktyg för att skapa social hållbarhet
Social hållbarhet
AI, Artificiell intelligens, kan vara ett smart verktyg inom hållbarhetsarbetet – även när det kommer till social hållbarhet. Det säger Marcus Weiland, vice vd på AI-företaget Savantic och delprojektledare i Smart Built Environments satsning Kraftsamling - AI i samhällsbyggandet.

AI kan användas i arbetet med social hållbarhet. Foto: Adobe Stock
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AI kan skapa nyttor inom samhällsbyggnad. Exempeln är många: inom logistik och transporter, prognoser över hur regn kommer att påverka städer och bebyggelse i framtiden, automatisering och effektivisering av processer som bygglov, inom återbruk och inom stadsplanering.
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
