Taylor Geospatial approaches AI with the understanding that powerful geospatial technologies carry both immense opportunity and responsibility. Our approach to ethical AI centers on ensuring that geospatial intelligence is developed and deployed in ways that are transparent, accountable, and aligned with the public good. This means prioritizing responsible data stewardship, safeguarding privacy and human rights, and designing systems that augment human expertise rather than replace it.

By combining rigorous scientific research with cross-sector collaboration among academia, industry, and the public sector, Taylor Geospatial works to advance geospatial AI that is trustworthy, inclusive, and capable of addressing complex societal challenges from climate resilience to humanitarian response.

Here are just a few ways we’re operationalizing ethical AI. Moving forward, we’re doing even more, including guidance for sensitive use cases and feedback loops.

Open Access for Public Good Uses: With an open-source approach, we can better ensure that the benefits reach those who need them most. If you’re a government estimating crop exposure to drought or a researcher tracking land-use change or a start-up with parametric insurance models, you can benefit from these digital public goods.

Transparent Training Data and Methods: We publish clear documentation about how the resources we share are generated. This helps governments, NGOs, and researchers understand when the data should and should not be used for policy or programming.

Equitable Coverage in Training Data: Most AI models perform best in wealthier regions where data is abundant. Ethical deployment means deliberately prioritizing underserved geographies. This helps ensure that resources do not unintentionally favor commercial interests over humanitarian ones, for example.