Leveraging Artificial Intelligence to Achieve Dual Carbon Goals:Mechanisms and Strategies from the Perspective of New Quality Productivity
New quality productivity will drive the green transformation of development models with strong momentum,contributing to the achievement of dual carbon goals.The application of artificial intelligence(AI)is a significant manifestation of new quality productivity empowering these goals.AI will drive the upgrading and transformation of low-carbon technology elements,promote the rich development of related knowledge elements,and incorporate and enhance the key role of data as a new production factor,facilitating the optimal combination and collaborative configuration of production factors.Currently,leveraging AI to achieve dual carbon goals faces potential challenges,such as the rapid increase in carbon emissions from computation-intensive AI,inefficient data flow channels,insufficient attention to data ethics issues,discrepancies between some key AI technologies and international leading levels,and risks of disconnection in the"industry-university-research"chain.Therefore,it is necessary to advance the greening of computation-intensive AI,strengthen the detection and accounting of related emissions;expedite the construction of data factor markets,and consider both data flow and data security;establish and improve standards,norms,and review mechanisms related to data ethics;accelerate research and breakthroughs in key AI technologies;and focus on the transformation and industrial application of"AI+dual carbon"achievements.
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