Using Explainable AI (XAI) for Compliance and Trust in the Healthcare Industry
A fundamental barrier the Healthcare industry faces in adoption of Machine Learning is a lack of trust and compliance for artificial intelligence […]
How Covea made an 11x ROI detecting fraudulent insurance policiesÂ
Covéa Insurance Plc is the UK underwriting business of leading French mutual insurance group Covéa, and offers commercial, motor, high net worth, property […]
Principles for Responsible AI
Alejandro Saucedo is the Scientific Advisor at the Institute for Ethical AI and Machine Learning, and the chair of the Linux Foundation’s […]
Bias vs Fairness vs Explainability in AI
Over the last few years, there has been a distinct focus on building machine learning systems that are, in some way, responsible […]
Distributed Black-Box Explanation with Ray
Advances in computer architecture have led to state-of-the-art performance of machine learning models in fields such as text and image classification, disease […]
How Seldon’s Alibi and Ray make Model Explainability Easy and Scalable
Written by Seldon and Anyscale‘s Bill Chambers Serving models at scale is only part of the battle. In general, you’re going to […]