We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports. The tool leverages an end-to-end trainable architecture that couples a BERT-based encoding module with a multi-label classification head to match relevant text passages from sustainability reports to their respective law regulations from the Global Reporting Initiative (GRI) standards. We evaluate our model on two novel German sustainability reporting data sets and consistently achieve a significantly higher recommendation performance compared to multiple strong baselines. Furthermore, sustainAI is publicly available for everyone at https://sustain.ki.nrw/.

翻译：我们提出sustainAI，一个智能、上下文感知的推荐系统，可协助审计师、金融投资者以及公众高效分析企业的可持续发展报告。该系统采用端到端可训练的架构，将基于BERT的编码模块与多标签分类头相结合，从可持续发展报告中匹配相关文本段落至全球报告倡议组织（GRI）标准的相应法律法规。我们在两个新的德语可持续发展报告数据集上评估了该模型，与多个强基线方法相比，始终实现了显著更高的推荐性能。此外，sustainAI在https://sustain.ki.nrw/上对所有用户公开可用。