User Guides

From The Foundation for Best Practices in Machine Learning
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How to use the Best Practices in daily work

Do not be daunted by the size of the Guidelines. It is okay to start by just looking up the parts relevant to the questions or dilemmas currently have.

Methods to get started To help you get started with this we suggest several methods, depending on the size of your organisation, operational maturity and current needs.

General Advice

  • Perform a risk assessment of your Machine Learning operations. Consider the following:
  1. Start with your organisation’s domain. Certain concepts will be more relevant for particular domains than others, identify those first;
  2. Next, what are the demographics of your users and people you will affect;
  3. Finally, are your products involved in a) physical and mechanical environments, b) making decisions about people, c) finance, d) health or e) other. This is important to understand to help you appreciate the context of your activities.
  • The policies described in the Organisation Guidelines can and should be created centrally so that all product teams can take advantage of them without having to reinvent the wheel.
  • Is your product team pioneering the usage of the Best Practices within your organisation? Connect your work to the Organisation Guidelines and take the initiative to create these policies.
  • After identifying the subjects with the highest relevance to your current work, find the relevant sections in the Guidelinesand start bridging the gap analysis between your current practice and the Best Practices.

Situation-based Advice

We are currently working on advice, tips and tricks that are specific to certain situations. For example, based on an organisation's size or maturity, on a product's risk rating, or aimed at specific roles in your organisation. Please check back often!