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Matthias Schumann

3 papers indexed

crossrefMachine Learning and Knowledge Extraction2026-02-05

Enhancing the Extraction of GHG Emission-Reduction Targets from Sustainability Reports Using Vision Language Models

Lars Wilhelmi, Christian Bruns, Matthias Schumann

This study investigates how Vision Language Models (VLMs) can be used and methodically configured to extract Environmental, Social, and Governance (ESG) metrics from corporate sustainability reports, addressing the limitations of existing text-only and manual ESG data-extraction…

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crossrefMachine Learning and Knowledge Extraction2024-07-27Cited by 5

Towards AI Dashboards in Financial Services: Design and Implementation of an AI Development Dashboard for Credit Assessment

Mustafa Pamuk, Matthias Schumann

Financial institutions are increasingly turning to artificial intelligence (AI) to improve their decision-making processes and gain a competitive edge. Due to the iterative process of AI development, it is mandatory to have a structured process in place, from the design to the de…

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crossrefMachine Learning and Knowledge Extraction2024-01-11Cited by 6

What Do the Regulators Mean? A Taxonomy of Regulatory Principles for the Use of AI in Financial Services

Mustafa Pamuk, Matthias Schumann, Robert C. Nickerson

The intended automation in the financial industry creates a proper area for artificial intelligence usage. However, complex and high regulatory standards and rapid technological developments pose significant challenges in developing and deploying AI-based services in the finance…

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