Machine learning has advanced rapidly and is now widely practised. However, it has often been operationalised with little regard for its wider societal impact, sometimes resulting in harm and unfair consequences. Through ethical and responsible machine learning, we believe that these consequences can be mitigated and a better World created. That is why we have developed free, open-source, community driven best practices and guides on ethical and responsible 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. We believe this means that everyone working in machine learning must be able to easily access tools and/or concepts associated with ethical and responsible machine learning.
That is why we have chosen to create and facilitate our community driven Best Practices. These open-source guidelines advise on a wide range of best practices - both technical and organisational - that help advance pragmatic ethical and responsible machine learning. We stand for open and inventive work that is why our Best Practices are open-source and freely available for commercial use and/or adaptation via the Creative Commons Attribution license.
Meet the Team