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Fueling impact through training data
Our mission is to build T∙R∙U∙S∙T in AI and Human-Machine teaming through open source tools, governance, guidance, and establishing data labeling standards.
Our mission is to build T∙R∙U∙S∙T in AI and Human-Machine teaming through open source tools, governance, guidance, and establishing data labeling standards.
At the Training Data Project, we are championing a future where everyone can make informed choices about the quality of the data that powers their AI initiatives. To unlock the full potential of automation and achieve the economic, political and social benefits of Human-Machine Teaming, we must prioritize openness, reliability and set the highest standards for data labeling. We must prioritize TRUST.
Transparent and
well-documented
data practices.
Readily available,
accessible, and
open data whenever
possible.
Unbiased data
with robust test
and evaluation
methods.
Standards-based
data to encourage interoperability.
Traceable data
to confirm
responsible and
ethical sourcing.
