Artificial Intelligence (AI) can play a significant role in accelerating the green transition by enabling more efficient use of resources, reducing emissions, and promoting sensibility in various analysing: it can optimise waste management by analysing data on waste production and identifying opportunities for recycling and reducing waste. Here are some examples of nudging in waste management: Recycling reminders: AI-powered chatbots or mobile apps can send recycling reminders to users based on their location or the types of materials they have recently disposed of; Gamification: AI-powered games can be designed to encourage users to recycle and reduce waste; Personalized feedback: AI algorithms can analyse an individual's waste disposal patterns and provide personalised feedback on how they can improve their waste management practices; Social influence: AI algorithms can be used to analyse social media data and identify influencers who are promoting sustainable waste management practices; Behavioural intervention is used to identify behavioural barriers to correct waste management practices and develop targeted interventions to address these barriers. This article aims to analyse the future of waste management, and AI-powered nudging looks promising, with many possibilities for improving efficiency, sustainability, and behaviour change. In particular, we will analyse the possibility that these tools have to modify the perception of the problem of garbage in urban spaces with a specific interest in those transformations necessary to face the climate change underway.
AI and green transition: solutions for to nudge people towards correct waste management practices
Michela Scaglione
2023-01-01
Abstract
Artificial Intelligence (AI) can play a significant role in accelerating the green transition by enabling more efficient use of resources, reducing emissions, and promoting sensibility in various analysing: it can optimise waste management by analysing data on waste production and identifying opportunities for recycling and reducing waste. Here are some examples of nudging in waste management: Recycling reminders: AI-powered chatbots or mobile apps can send recycling reminders to users based on their location or the types of materials they have recently disposed of; Gamification: AI-powered games can be designed to encourage users to recycle and reduce waste; Personalized feedback: AI algorithms can analyse an individual's waste disposal patterns and provide personalised feedback on how they can improve their waste management practices; Social influence: AI algorithms can be used to analyse social media data and identify influencers who are promoting sustainable waste management practices; Behavioural intervention is used to identify behavioural barriers to correct waste management practices and develop targeted interventions to address these barriers. This article aims to analyse the future of waste management, and AI-powered nudging looks promising, with many possibilities for improving efficiency, sustainability, and behaviour change. In particular, we will analyse the possibility that these tools have to modify the perception of the problem of garbage in urban spaces with a specific interest in those transformations necessary to face the climate change underway.File | Dimensione | Formato | |
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