AI & Society · 2022 · 81 citations · 57 references
Natural ResourcesEconomicsArtificial IntelligenceCircular EconomySustainable DevelopmentArtificial Intelligence GovernanceArtificial Intelligence PolicyCircular Business ModelsCircular Economy InfrastructureCircular Economy PracticesCircular Economy StrategiesAi Ethics In AdoptionArtificial Intelligence RiskCircular Economy EthicsCircular Economy ModelsCircular Economy TransitionsTransition To Circular Business Models
Abstract The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business models, and support the broader infrastructures needed to scale circularity. However, to date, considerations of the ethical implications of using AI to achieve a transition to CE have been limited. This article addresses this gap. It outlines how AI is and can be used to transition towards CE, analyzes the ethical risks associated with using AI for this purpose, and supports some recommendations to policymakers and industry on how to minimise these risks.
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The Circular Economy – A new sustainability paradigm?
Martin Geissdoerfer, Paulo Savaget, Nancy Bocken et al. · Journal of Cleaner Production · 2016 · 8.4K citations · Full text
Management, Environmental Management, Sustainability Management +10