Optimizing Transparency and Accuracy in State-of-the-Art AI- Powered ESG Reporting Approaches for SMEs


People

Andreas Konstantinidis - Coordinator

Panayiota Kyriakou - Researcher

Project Details

{"ops":[{"insert":"The "},{"attributes":{"bold":true},"insert":"TRUST-ESG"},{"insert":" project is an innovative initiative aimed at enhancing ESG (Environmental, Social, and Governance) reporting for Small and Medium-sized Enterprises (SMEs) in the EU, with a focus on using Artificial Intelligence to improve transparency, accuracy, and reliability. The project will address the challenges of balancing accuracy and transparency in AI-powered ESG reporting. The primary goal is to find an optimal solution that ensures both precise results and understandable, trustworthy AI models. It will also offer users customizable controls, allowing them to adjust the levels of AI accuracy and transparency to meet their specific needs."},{"attributes":{"align":"justify"},"insert":"\n"},{"attributes":{"bold":true},"insert":"Key objectives include:"},{"attributes":{"align":"justify"},"insert":"\n"},{"insert":"-Developing cutting-edge ESG reporting tools for SMEs using Natural Language Processing (NLP), Machine Learning (ML), Blockchain, and AI technologies.\n-Exploring the trade-offs between accuracy and transparency in AI systems and proposing a Multi-Objective Optimization approach to balance these conflicting goals.\n\nUltimately, "},{"attributes":{"bold":true},"insert":"TRUST-ESG"},{"insert":" aims to deliver reliable and comprehensible AI-powered ESG reporting solutions that help SMEs meet regulatory requirements and foster ethical, sustainable business practices."},{"attributes":{"align":"justify"},"insert":"\n"}]}