The Zen of Machine Learning (ML)

The Zen of ML is a set of design principles that helps ML educators and (self-)learners prioritise responsible machine learning practices. Inspired by the Zen of Python, the Zen of ML can be viewed as a culture code that promotes the responsible development of ML products and projects. It is not binding or enforceable, but is intended to shape industry norms and offer a practical guide to building trustworthy AI. The principles consider the end-to-end machine learning development cycle, from data collection to model evaluation and continuous deployment. In the workshop we will unpack pedagogical challenges that ML (self-)learners experience and explore how design principles can be used to encourage responsible ML practice. Participants should have some experience in learning or teaching ML, in crafting design principles, in programming best-practice, or in developing and deploying ML systems.