AI Research
The AI group has a mission of building the next-gen RiskOps AI to safeguard businesses and people from fraud and financial crime that is responsible and explainable by design. The group aims to reimagine financial services, risk management and financial crime prevention through the lens of state-of-the-art Human-Centered AI and propose product solutions to significant problems, such as identity, detection, and automation, while mitigating bias and promoting transparency.
Research Focus:
- AI in Financial Services
- AutoML
- AI safety, fairness, privacy, robustness
- ML Monitoring, Explainability and Observability
- Deep Learning & Network Science
Recent Publications

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies
Published at ICLR 2023 workshop Trustworthy ML

Fairness-Aware Data Valuation for Supervised Learning
Published at ICLR 2023 workshop Trustworthy ML
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