Ethics Is Engineering
At Heartwood, ethical AI isn't a disclaimer at the bottom of the page. It's a design requirement built into every tool, every dataset, and every decision we make.
The Heartwood Framework
Five commitments that guide every technical and business decision
Bias Is a Technical Debt
Every AI model carries the biases of its training data. We audit for bias before deployment, during operation, and after updates. We document our findings and publish our methodology.
Privacy Is a Right, Not a Feature
Community data belongs to the community. We encrypt at rest and in transit, never share with third parties, and give users full control to export or delete their data at any time.
Transparency Over Trust
We don’t ask communities to trust AI. We show how it works, what it can and cannot do, and where the risks are. Trust is earned through transparency.
Harm Reduction First
Before we ask ‘what can this tool do?’ we ask ‘who could this tool harm?’ Risk assessment is part of our engineering process, not an afterthought.
Accountability Has an Address
When something goes wrong — and in AI, things will go wrong — there must be a human accountable. We name who is responsible, how to reach them, and what recourse exists.
Environmental Justice
AI has a physical footprint. We take that seriously.
Data Center Impact Research
AI infrastructure consumes enormous energy and water resources. We research and document the impact of data center proliferation on local communities — air quality, water usage, energy costs, land use, and environmental health.
Community Burden Mapping
We build tools that help communities visualize the environmental burden of industrial AI infrastructure in their neighborhoods, giving them data for advocacy.
Policy Advocacy
We provide community-ready research, talking points, and impact data that local advocates can use in county board meetings, town halls, and public comment periods.
Your Data. Your Control.
Specific, enforceable privacy commitments — not vague promises
All personal data is encrypted at rest and in transit
We never sell or share your data with third parties
You can export all your data at any time
You can delete your account and all associated data permanently
We use privacy-preserving analytics — no personally identifiable tracking
Our AI features process data in real-time and do not store conversation logs beyond the active session
Our Audit Process
How we test, monitor, and report on the AI tools we build
Pre-Deployment Review
Before any AI feature ships, it undergoes equity testing across demographic groups.
Ongoing Monitoring
We continuously monitor AI outputs for drift, bias patterns, and quality degradation.
Community Feedback Loops
Users can flag concerns directly. Every flag is reviewed and documented.
Public Reporting
We publish our audit methodology and findings. Accountability requires transparency.
Questions About Our Approach?
We welcome scrutiny. If you have questions about how we handle data, audit for bias, or assess environmental impact — ask us.