Algorithmic redaction of refugee court files

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and machine learning methodologies, the project seeks to revolutionize the way legal documents are handled. This innovative approach is centered on preserving the privacy and enhancing the safety of the involved individuals, a critical aspect often overlooked in the rush of legal proceedings. This synergy will facilitate better decision-making, ensuring that only the most pertinent and non-sensitive information remains accessible.Ultimately, this project has the potential to make a profound difference in the lives of vulnerable refugees, offering them an added layer of protection. Concurrently, it upholds the principle of transparency within the legal system, striking a balance between public access to court files and individual privacy rights. This delicate balance is essential in a democratic society and the successful implementation of this system could serve as a model for other jurisdictions.

Faculty Supervisor:

Derek Rayside

Student:

Partner:

Taras Shevchenko National University of Kyiv

Discipline:

Engineering

Sector:

Technology; Public Service, Policy, and Governance; Artificial Intelligence

University:

University of Waterloo

Program: