sustain.AI: a Recommender System to analyze Sustainability

We present sustain.AI, 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, sustain.AI is publicly available for everyone at https://sustain.ki.nrw/.

  • Published in:
    International Conference on Artificial Intelligence and Law
  • Type:
    Inproceedings
  • Authors:
    Hillebrand, Lars; Pielka, Maren; Leonhard, David; Deußer, Tobias; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Morad, Milad; Temath, Christian; Bell, Thiago; Stenzel, Robin; Sifa, Rafet
  • Year:
    2023

Citation information

Hillebrand, Lars; Pielka, Maren; Leonhard, David; Deußer, Tobias; Dilmaghani, Tim; Kliem, Bernd; Loitz, Rüdiger; Morad, Milad; Temath, Christian; Bell, Thiago; Stenzel, Robin; Sifa, Rafet: sustain.AI: a Recommender System to analyze Sustainability, International Conference on Artificial Intelligence and Law, 2023, https://arxiv.org/abs/2305.08711, Hillebrand.etal.2023a,

Associated Lamarr Researchers

lamarr institute person Pielka Maren - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Maren Pielka

Autorin to the profile
lamarr institut team temath christian - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Dr. Christian Temath

Area Chair Transfer to the profile
lamarr institute person Stenzel Robin Marc - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Robin Stenzel

Autor to the profile
Prof. Dr. Rafet Sifa

Prof. Dr. Rafet Sifa

Principal Investigator Hybrid ML to the profile