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  4. sustain.AI: a Recommender System to analyze Sustainability Reports
 
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September 7, 2023
Conference Paper
Title

sustain.AI: a Recommender System to analyze Sustainability Reports

Abstract
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/.
Author(s)
Hillebrand, Lars Patrick  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Pielka, Maren  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Leonhard, David
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Deußer, Tobias  orcid-logo
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Dilmaghani, Tim
PricewaterhouseCoopers GmbH
Kliem, Bernd
PricewaterhouseCoopers GmbH
Loitz, Rüdiger
PricewaterhouseCoopers GmbH
Morad, Milad
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Temath, Christian
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Bell Felix de Oliveira, Thiago
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Stenzel, Marc Robin
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
Nineteenth International Conference on Artificial Intelligence and Law 2023. Proceedings  
Project(s)
The Lamarr Institute for Machine Learning and Artificial Intelligence  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
International Conference on Artificial Intelligence and Law 2023  
Open Access
File(s)
Download (1.02 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1145/3594536.3595131
10.24406/publica-2550
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • natural language processin

  • recommender system

  • sustainability

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