A Data-Centric Perspective on Ethical AI

A Data-Centric Perspective on Ethical AI

AI Fairness in the EU AI Act Fairness and non-discrimination are two topics of critical importance for the ethical use of artificial intelligence. Time and again, AI has been portrayed negatively in the news because the careless use of technology resulted in unfair...
A Comprehensive Overview Of Data Quality Monitoring

A Comprehensive Overview Of Data Quality Monitoring

As data has grown exponentially, data quality monitoring has become crucial for building successful data and machine learning systems. 42% of data analysts that took part in Forrester’s Online Global Survey on Data Quality and Trust spend more than 40% of their...
Fix your models by fixing your Datasets

Fix your models by fixing your Datasets

By: Atindriyo Sanyal, Vikram Chatterji, Nidhi Vyas, Ben Epstein, Nikita Demir, Anthony Corletti Abstract The quality of underlying training data is very crucial for building performantmachine learning models with wider generalizabilty. However, current machinelearning...