Eyes off! Validating research on illegal data through the Data Airlock.
Ai Lin Soo1, Campbell Wilson1, Greg Rolan1 1AiLECS Lab, Monash University
Abstract
Working on AI for law enforcement and community safety, the AiLECS Lab must ensure that the research endeavours of the Lab translate to operational successes for our law enforcement (LE) partners. To ensure this, research progress must be closely monitored for its applicability to real life data and scenarios, this however, comes with its challenges, with strict legal, security and ethical constraints on the access to prohibited data.
To facilitate this process, the AiLECS Lab has developed the Data Airlock capability, a bespoke solution to enable validation of research on data seized by LE that is legally restricted from access beyond law enforcement contexts. Working in the area of countering child exploitation, the Lab is developing a machine learning algorithm to help with the detection of online child sexual abuse material (CSAM). This presentation will provide an overview of the Data Airlock workflow which allows researchers to validate their research outputs on prohibited data while maintaining the security, legal and ethical mandates of prohibited data.
AiLECS Lab is a partnership between Monash University and the Australian Federal Police.
Biography
Ai-Lin Soo is the Operations Manager for the Ai for Law Enforcement and Community Safety (AiLECS) Lab at Monash University and the a Project Officer at UNSW. She applies her project management skills to support a diverse range of activities in areas such as research data management and operational governance. Ai-Lin is also heavily involved in the Research Data Culture Conversation (www.researchdataculture.org) as the RDCC coordinator and product manager of the Macro View.