Tools for Managing and Ideating Responsible AI Mitigations
News: Our slides from the FAccT Tutorial on Responsible AI Toolbox are available here. ML algorithms and systems are often prone to severe bias and highly consequential failure modes that are not well understood. This…
Time-Constrained Learning
Microsoft Research-IISc AI Seminar Series
The Microsoft Research–Indian Institute of Science AI Seminar Series aims to organize widely accessible talks on cutting-edge AI research. The seminar series will feature speakers who are leaders in their areas. It will cover a…
Responsible AI Mitigations
This Responsible-AI-Toolbox-Mitigations repo consists of a python library that aims to empower data scientists and ML developers to measure their dataset balance and representation of different dataset cohorts, while having access to mitigation techniques they…
Responsible AI Toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders…
Responsible AI Tracker
Responsible AI Tracker is a JupyterLab Extension for managing, tracking, and comparing results of machine learning experiments for model improvement. Using this extension, users can view models, code, and visualization artifacts within the same framework…