Metadata
Title
Ethical and Explainable AI in Fintech applications
Category
general
UUID
8178c46996574f9f97c96a3d1b494270
Source URL
https://wsai.iitm.ac.in/projects/ethical-and-explainable-ai-in-fintech-applicati...
Parent URL
https://wsai.iitm.ac.in/projects/
Crawl Time
2026-03-23T19:04:35+00:00
Rendered Raw Markdown

Ethical and Explainable AI in Fintech applications

Source: https://wsai.iitm.ac.in/projects/ethical-and-explainable-ai-in-fintech-applications/ Parent: https://wsai.iitm.ac.in/projects/

Ethical and Explainable AI in Fintech applications

Investigators

Arun Rajkumar Narayanan U Edakunni Karthik Srinivasan,

Tags

Ethics Financial Analytics Explainable AI

Machine Learning and AI have become inevitable workhorses behind algorithms in data- centric domains such as Fintech. While dealing with sensitive data in such domains, it becomes essential to make sure that the data is used in an ethical and fair manner, and predictions made by learning algorithms are explainable. The machine learning community has in recent years begun investigations into the mathematical underpinnings of ethics, fairness and explainability. While several attempts have been made to capture these subtle notions, there is no global consensus as to what is the right definition of ethics and fairness. In this project, we wish to explore theoretical and algorithmic underpinnings of ethics, fairness and explainability in AI with a focus on Fintech applications.