Tutorial: Safe and Reliable Machine Learning
It is an incremental educational resource for practitioners and researchers interested in ethical AI, summarizing existing knowledge without novel contributions.
This tutorial provides an overview of safe and reliable machine learning, addressing challenges in fairness, accountability, and transparency, but it does not present new research results or concrete numbers.
This document serves as a brief overview of the "Safe and Reliable Machine Learning" tutorial given at the 2019 ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019). The talk slides can be found here: https://bit.ly/2Gfsukp, while a video of the talk is available here: https://youtu.be/FGLOCkC4KmE, and a complete list of references for the tutorial here: https://bit.ly/2GdLPme.