Archives for explainability
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.
An open-source library, SHAP puts an end to the question on reliability of a machine learning model
The post Hands-on Guide to Interpret Machine Learning with SHAP appeared first on Analytics India Magazine.
An open-source library, SHAP puts an end to the question on reliability of a machine learning model
The post Hands-on Guide to Interpret Machine Learning with SHAP appeared first on Analytics India Magazine.
Private enterprises use several algorithms for decision making on a day-to-day basis. Many of them have also realised or have been made aware of the consequences of using algorithms that might be biased towards individuals or sections of society. To avoid such incidents from occurring again, many tech companies are taking steps to ensure FATE…
The post Top Third-party Initiatives To Ensure Algorithmic FATE For Enterprises appeared first on Analytics India Magazine.
Over the last few years, there have been several innovations in the field of artificial intelligence and machine learning. As technology is expanding into various domains right from academics to cooking robots and others, it is significantly impacting our lives. For instance, a business or finance user is using a machine learning technology as a…
The post Explainability Vs Interpretability In Artificial Intelligence And Machine Learning appeared first on Analytics India Magazine.