User Guides

From The Foundation for Best Practices in Machine Learning
Revision as of 15:41, 16 May 2021 by Lorrie27 (talk | contribs)

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 you currently have.

General Advice

Risk Assessment

Perform a risk assessment of your Machine Learning operations. Start by identifying the following 3 aspects of your organisation. This is important to understand to help you appreciate the context of your activities.

  1. The Domain of your organisation;
  2. The demographics of your users and the people you will affect;
  3. Are your products involved in any of the following? a) physical and mechanical environments, b) making decisions about people, or c) influencing peoples' behaviour.

Certain concepts of the Best Practices will be more relevant than others for different contexts. Identify which concepts are the most important for you context based on your answers to the above 3 questions.

Apply a risk assessment to the concepts identified as important above, the perform a gap analysis based on that. After identifying the subjects with the highest relevance to your current work in this way, find the relevant sections in the Best Practices and start bridging the gap analysis between your current practice and the Best Practices.


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 for you organisation.

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!