Data ethics is about the responsible and sustainable use of data. It’s about doing the right thing for people as individuals and for society.
We believe that models and data processes should be designed with equity in mind - equitable access to usability as well as robust mathematical and scientific output that accurately reflects your data.
From algorithmic bias to hiring and communications, SDL values equity and transparency.
We walk the walk by providing a comprehensive bias assessment with every project as well as accessible documentation and thoughtful, human-centered communication.