CrimeRadar will be made available to other police departments upon request. To use the tool, departments must comply with minimum transparency and reporting standards. The Institute will support the departments to make sure that the standards are met.

The requirements are laid out below, along with the Primary Accountable Institution (PAI). These requirements follow the recommendations from the FAT/ML work group:

> Responsibility and Recourse – Make available externally visible avenues of redress for adverse individual or societal effects of an algorithmic prediction system, and designate an internal role for the person who is responsible for the timely remedy of such issues. (PAI: Police Department)

> Explainability – Ensure that algorithmic predictions as well as any data driving those predictions can be explained to end-users and other stakeholders in non-technical terms. (PAI: Police Department)

> Accuracy – Identify, log, and articulate sources of error and uncertainty throughout the data sources so that expected and worst case implications can be understood and inform mitigation procedures. (PAI: Police Department)

> Fairness – Ensure that algorithmic predictions do not create discriminatory or unjust impacts when comparing across different demographics. (PAI: Police Department).

> Auditability – Enable interested third parties to probe, understand, and review the behavior of the algorithm through disclosure of information that enables monitoring, checking, or criticism, including through provision of detailed documentation, technically suitable APIs, and permissive terms of use. (PAI: Igarapé Institute).