Harnessing AI for Forensics

The project aims to create a framework of actionable guidelines for agency decision-makers to evaluate and administer AI effectively and responsibly in their agencies. Although AI holds promise for improving communication, increasing investigative capacity, and streamlining administrative tasks in forensic investigations, potential risks such as data privacy concerns, analysis errors, and bias must be carefully considered. Through workshop presentations, publications and other research dissemination, RTI and NIST seek to address these challenges and promote responsible AI deployment in forensic investigations. In...

Forensic Validation

Validation is a critical part of the scientific process for assessing whether a technique is technically sound and can be used in laboratories to produce robust and defensible analytical results. In the forensic science context, validation is mandated for laboratories accredited under the ISO/IEC 17025 standard, yet the standard tells laboratories that methods must be validated but does not provide a rigorous framework describing how a method or technique can or should be validated. There is a critical need in...