AI Research
Interdisciplinary study on AI's environmental impact and policy.
Carbon Footprint
Modeling AI's historical carbon emissions and resource usage.
Data Analysis
Evaluating AI technology's historical contributions to climate change.
Policy Evaluation
Collaborating with experts to assess model reliability.
Model Construction
Building frameworks for quantifying AI's carbon footprint.
The expected outcomes of this research include: (1) the development of an AI-based carbon footprint quantification tool, providing technical support for global climate policy-making; (2) the proposal of a standardized carbon footprint quantification process to ensure the fairness and operability of evaluation results; and (3) the promotion of AI technology applications in the climate policy field, enhancing the efficiency and accuracy of carbon emission assessments. These outcomes will contribute to a deeper understanding of OpenAI’s models and their societal impact, particularly in environmental sustainability. Furthermore, this research will provide practical guidance for the future development of AI technologies, ensuring their responsible use in society.

