Data & AI Principles

Transparency and Accuracy: Maintain high levels of transparency in all data, including data touched by AI algorithms, ensuring that all stakeholders understand the source, the freshness, and type of data that they are viewing. Evaluate data sources to provide the most accurate data to our end users.
Completeness: Aggregate the most complete, relevant data that stakeholders across the building product ecosystem need to calculate compliance and make more sustainable decisions.
Data Privacy: Uphold data governance policies to protect the information of users, customers, and partners, ensuring that all data, including data used by AI systems is handled securely and ethically.
Bias Mitigation and Fairness: Ensure that all presentations of data and recommendations are fair, unbiased, and optimized for the end-user experience.
Data & AI Use: Harness data and the technology, including AI to accelerate a more sustainable world by enabling customers, users, and partners to achieve product transparency and compliance that supports their declarations and helps build a better world.

We strive to meet these principles in everything we do, welcome feedback, and will update this with our learnings in order to drive alignment and progress in the sustainable building movement.