making-ai-understandable

[making-ai-understandable]

Projects

Ethical and Explainable AI in Fintech applications

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.

Explainable GI Endoscopy Procedure Assessments

Gastrointestinal (GI) Endoscopy is a medical procedure wherein a trained medical expert (henceforth referred to as endoscopist) uses a flexible endoscope to examine the GI tract to screen for various diseases.

Human-in-the-loop for Safe and Verifiable Reinforcement Learning

One of the main challenges in implementation of RL in real life applications is safety. Particularly, the undesired and harmful behaviour of RL agents involving humans is one of the major safety concerns.

Paradigms, Interpretable Models, Algorithms for AI-based Human in the Loop Learning

Artificial intelligence/Data science systems with humans-in-the-loop (HIL) are increasing by the day with applications covering a broad spectrum of domains ranging from education to e-commerce.