Xiaoran Cai, Wang Yang, Xiyu Ren, Chekun Law, Rohit Sharma, Peng Qi
The paper proposes a human-AI collaborative framework to create benchmark datasets for more trustworthy and comparable sustainability ratings of companies.
Sustainability ratings are used to evaluate how companies perform in terms of environmental, social, and governance (ESG) factors. However, these ratings can differ significantly between different agencies, making them hard to compare and potentially unreliable. This paper suggests a new approach using artificial intelligence (AI) and human input to create standardized datasets that can be used to evaluate and improve these ratings. The goal is to make sustainability ratings more consistent and useful for decision-making.
