7 citations · 15 across the 4 of their papers we have counts for
5 papers
On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services
Eren Kurshan, Jiahao Chen, Victor Storchan +1
Artificial intelligence (AI) continues to find more numerous and more critical applications in the financial services industry, giving rise to fair and ethical AI as an industry-wi…
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
Jiahao Chen, Victor Storchan, Eren Kurshan
We review practical challenges in building and deploying ethical AI at the scale of contemporary industrial and societal uses. Apart from the purely technical concerns that are the…
Seven challenges for harmonizing explainability requirements
Jiahao Chen, Victor Storchan
Regulators have signalled an interest in adopting explainable AI(XAI) techniques to handle the diverse needs for model governance, operational servicing, and compliance in the fina…
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
Victor Storchan, Svitlana Vyetrenko, Tucker Balch
In electronic trading markets often only the price or volume time series, that result from interaction of multiple market participants, are directly observable. In order to test tr…
Explainable Clustering and Application to Wealth Management Compliance
Enguerrand Horel, Kay Giesecke, Victor Storchan +1
Many applications from the financial industry successfully leverage clustering algorithms to reveal meaningful patterns among a vast amount of unstructured financial data. However,…