Work Package 9
Ethics in DIGITAL
Leading institution
Overview
Work Package 9 is dedicated to pioneering ethical practices in financial data analysis through the application of Explainable AI (XAI). In an era where data privacy and ethical AI are paramount, our initiative stands at the forefront of integrating ethical reflection into cutting-edge technological advancements. This page offers insights on the ethical standards and objectives within the MSCA DIGITAL project.
Why an Ethics Mentor is Essential
In this MSCA DIGITAL project, doctoral students will delve into the analysis of financial transaction data, which inherently contains detailed and sensitive information. Given the specificity and temporal scope of this data, anonymization is impractical, rendering the data pseudonymous and, therefore, subject to stringent GDPR regulations. Our commitment is to ensure that our research not only adheres to legal standards but also embodies the highest ethical principles.
Purpose
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Towards a European Financial Data Space (WP1)IRP6 - Collaborative learning across data silos IRP8 - Detecting anomalies and dependence structures in high dimensional, high frequency financial data IRP13 - Predicting financial trends using text mining and NLP IRP15 - Deep Generation of Financial Time Series Work Package 1 Page
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Artificial Intelligence for Financial Markets (WP2)IRP12 - Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms IRP14 - Challenges and opportunities for the uptaking of technological development by industry Work Package 2 Page
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Towards explainable and fair AI-generated decisions (WP3)IRP1 - Strengthening European financial service providers through applicable reinforcement learning IRP9 - Audience-dependent explanations IRP16 - Investigating the utility of classical XAI methods in financial time series IRP17 - Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns Work Package 3 Page
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Driving digital innovations with Blockchain applications (WP4)IRP3 - Machine learning for digital finance IRP5 - Fraud detection in financial networks IRP7 - Risk index for cryptos Work Package 4 Page
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Sustainability of Digital Finance (WP5)IRP2 - Modelling green credit scores for a network of retail and business clients IRP4 - A recommender system to re-orient investments towards more sustainable technologies and businesses IRP10 - Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy IRP11 - Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period Work Package 5 Page
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