148 citations · 346 across the 16 of their papers we have counts for
7 papers · 1 filter
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…
Adversarial Attacks on Machinery Fault Diagnosis
Jiahao Chen, Diqun Yan
Despite the great progress of neural network-based (NN-based) machinery fault diagnosis methods, their robustness has been largely neglected, for they can be easily fooled through…
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…
Ontology drift is a challenge for explainable data governance
Jiahao Chen
We introduce the needs for explainable AI that arise from Standard No. 239 from the Basel Committee on Banking Standards (BCBS 239), which outlines 11 principles for effective risk…
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…
Counterfactual Explanations for Arbitrary Regression Models
Thomas Spooner, Danial Dervovic, Jason Long +3
We present a new method for counterfactual explanations (CFEs) based on Bayesian optimisation that applies to both classification and regression models. Our method is a globally co…