Machine learning bias and fairness

KJ Pittl



As an AI-first company, Google aims to develop the benefits of machine learning for everyone. Democratizing ML tools and platforms and building inclusive machine learning algorithms is crucial to make this work successfully.

Machine learning bias examples and fairness in practise, including  tools in the TensorFlow ecosystem to help understand models and combat problems with fairness.


The COAT is intended to facilitate liaison and discussion between the heads of tribunals. It will support the development of best practice models and model procedural rules, standards of behaviour and conduct for members and increased capacity for training and support for members.