The Foundation for Best Practices in Machine Learning
Championing ethical and responsible machine learning through open-source best practices.
Machine learning has been hastily operationalised, often with little regard for its wider societal impact. This has resulted in harmful and unfair consequences. In order to mitigate these and create a better World, ethical and responsible machine learning is necessary.
We, at The Foundation for Best Practices in Machine Learning, want to help data scientists, governance experts, managers, and other machine learning professionals implement ethical and responsible machine learning. We do this through championing our technical and organisational Best Practices for machine learning, specifically via our free, open-source guidelines.
Applying ethical and responsible machine learning will result in products that are more beneficial to society as a whole. Additionally, the commercial benefits of ethical and responsible machine learning are robust models and greater R&D productionalization rates. This will help create a healthier machine learning ecosystem for all.
The Best Practice Guidelines
Extensive but easily accessible Best Practices for anyone working on or interested in machine learning.
The Wiki portal contains all of the Best Practices and more. Through the Wiki, everyone can help contribute to the Best Practices. The Wiki also serves as the community hub for discussion and debate.
About the Foundation for Best Practices in Machine Learning
We are a team of seasoned data scientists, machine learning engineers, AI ethicists and governance experts, who are enthusiastic about lowering the barriers for pragmatic ethical and responsible machine learning. Our team is passionate about ethical and responsible machine learning and believes that, in order to best promote real change, grassroots, democratic movement is key.
Help or Volunteer
We are always looking for volunteers to help us with tasks, such as the administration of the Foundation, community coordination and moderation, improving our platform(s) and content creation. Feel free to send an email to email@example.com if you are interested in volunteering or if you just want to get in touch.