Responsible AI
The principles we follow when we design, build and support AI systems.
Human oversight
We design systems so that a person reviews anything important before it happens. AI supports decisions. People make them.
Transparency
We tell you what a system does, what data it uses and where it can be wrong. Where a system helps with a decision, it records the reasons.
Privacy and data protection
We limit a system's access to the data a job needs. We agree with you where data is stored, who can reach it and how long it is kept.
Fairness and testing
We test systems on real examples from your work before launch and check them again after, looking for uneven or unreliable results.
Accuracy and review
We set up ways to check results, catch mistakes and correct them, and we keep improving systems from real use.
Security
We follow sensible security practice when we connect AI to your tools and data, and we review security before a system goes live.
Accountability
Someone at American Technologies is responsible for every system we build, and someone on your team is responsible for how it is used.
Raise a concern
If you have a concern about how an American Technologies system behaves, write to info@americantechnologies.tech.