The impacts of artificial intelligence on environmental sustainability and human well-being

A systematic review of 1,291 studies from a pool of 6,655 records reveals that the impacts of Artificial Intelligence (AI) on environmental sustainability and human well-being are poorly understood and fragmented in current research. While environmental studies primarily focus on AI's energy consumption and CO2 emissions, they often neglect broader systemic effects. Similarly, well-being studies are largely conceptual and fail to address subjective well-being, cognitive aspects, or upstream supply chain implications.

The limited and fragmented understanding of AI's environmental and human well-being impacts presents a significant strategic challenge. Without comprehensive data, organisations and governments risk developing and deploying AI technologies that could have unforeseen negative consequences, undermining long-term sustainability goals and societal health.

AI's impacts on environmental sustainability and human well-being are currently ill-defined in academic literature.

Forward consideration, not a verified fact.