Services We Offer
We believe that building artificial intelligence is as much about learning as it is about technical implementation.
Label-as-a-Service
Creating nutrition labels for datasets supports responsible use of public data, and serves as a form of transparency and trust-building when releasing products built on proprietary data.
If you would like to create a Dataset Nutrition Label on a proprietary dataset, DNP can work with you to build a certified Dataset Nutrition Label.

Label build and certification for The International Skin Imaging Collaboration (ISIC) dermatology dataset
Data Systems Consulting
When documentation is created at the end of an algorithmic decision making process, you run the risk of discovering too late that the data used may present some unintended risks.
We offer strategic consulting to help organizations and teams design responsible data practices into their product development. This helps to surface issues early, providing opportunities to improve products and outcomes through the use of higher quality datasets.

“Quality measures for humanitarian data,” with the Centre for Humanitarian Data (United Nations OCHA).
Professional
Development & Education
When building artificial intelligence systems, it is important to understand both the technical tools required and the social context in which the system sits.
Through our educational offerings, the Data Nutrition Project trains and builds curricula for organizations of all sizes – from small technical teams to large, non-technical communities – to understand and approach AI from a sociotechnical perspective.

