Archives for reliability


A responsible AI framework enables companies to track and mitigate bias and create transparent and explainable AI models, prevent misuse and adverse effects of AI, determine who to be held responsible if something goes wrong, and ensure compliance with security, privacy, and associated regulations.
The post Council Post: Towards An Ethical Tech Revolution: Building Responsible AI Practices appeared first on Analytics India Magazine.


In this article, we will learn in detail about what Cohen’s kappa is and how it can be useful in machine learning problems.
The post Understanding Cohen’s Kappa Score With Hands-On Implementation appeared first on Analytics India Magazine.

