Skip to content
CIFAR header logo
fr
menu_mobile_logo_alt
  • Our Impact
    • Why CIFAR?
    • Impact Clusters
    • News
    • CIFAR Strategy
    • Nurturing a Resilient Earth
    • AI Impact
    • Donor Impact
    • CIFAR 40
  • Events
  • Programs
    • Research Programs
    • Pan-Canadian AI Strategy
    • Next Generation Initiatives
    • CIFAR Arrell Future of Food Initiative
  • People
    • Fellows & Advisors
    • CIFAR Azrieli Global Scholars
    • Canada CIFAR AI Chairs
    • AI Strategy Leadership
    • Leadership
    • Staff Directory
  • Support Us
  • About
    • Our Story
    • Awards
    • Partnerships
    • Publications & Reports
    • Careers
    • Equity, Diversity & Inclusion
    • Statement on Institutional Neutrality
    • Research Security
  • fr

Follow Us

  • Home
  • ai
  • cifar-solution-networks
  • Safeguarding Courts from Synthetic AI Content

Safeguarding Courts from Synthetic AI Content

Can the justice system defend against the rising threat of AI-generated synthetic content in legal proceedings?

Maintaining the integrity of judicial processes is a cornerstone of democratic societies. The rapid evolution of generative AI technologies has introduced a severe and unaddressed safety risk: the potential for synthetic content to infiltrate our courts. The legal system, unlike other sectors, functions under stringent evidentiary rules where a single piece of falsified evidence can result in a wrongful conviction, undermine due process, and permanently damage public confidence.

A variety of systemic challenges make it difficult to counter this threat effectively. Courts, already facing significant caseloads, are not prepared to detect sophisticated synthetic media or to properly assess its authenticity and reliability. Tools created for general use are not precise enough or compatible with legal procedures. This creates a dangerous gap in procedural fairness, particularly for populations with limited resources, such as self-represented litigants, who may lack the means to identify fabricated materials.

Overcoming these obstacles requires a coordinated response from judges, legal professionals, and policymakers. Yet, progress is hindered by the absence of analytic tools built to accurately and transparently assess digital evidence within the unique procedural, evidentiary, and interpretive contours of legal practice.

This Solution Network is dedicated to the socially responsible design, validation, and deployment of a purpose-built AI-verification tool. Developed through close partnership with legal professionals, judicial officers, and other stakeholders, the goal is to create a solution that is not only technically robust but also procedurally sound. The system will be designed to support — not supplant — human judgment and to uphold the core principles of fairness and transparency.

Show Transcript

Founded

2025

Supporters

CIFAR

CIFAR Contact

Gagan Gill
Associate Director, AI Safety

List of Members:

Ebrahim Bagheri

Ebrahim Bagheri

Solution Network Co-Director

Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
University of Toronto
Canada
Jacquelyn Burkell

Jacquelyn Burkell

Solution Network Member

Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
Western University
Canada
Yuntian Deng

Yuntian Deng

Solution Network Member

Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
University of Waterloo
Canada
Karen Eltis

Karen Eltis

Solution Network Member

Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
University of Ottawa
Canada
Maura R. Grossman

Maura R. Grossman

Solution Network Co-Director

Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
Osgoode Hall Law School
University of Waterloo
Vector Institute
Canada
Mathias Lécuyer

Mathias Lécuyer

Solution Network Member

Canadian AI Safety Institute Research Program
Safeguarding Courts from Synthetic AI Content
University of British Columbia
Canada
Vered Shwartz

Vered Shwartz

Canada CIFAR AI Chair
Solution Network Member

Canadian AI Safety Institute Research Program
Pan-Canadian AI Strategy
Safeguarding Courts from Synthetic AI Content
University of British Columbia
Vector Institute
Canada
  • Follow Us

Support Us

The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the world’s most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanity’s biggest problems, together. We are supported by the governments of Canada, Alberta and Québec, as well as Canadian and international foundations, individuals, corporations and partner organizations.

Donate Now
CIFAR header logo

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada

Contact Us
Media
Careers
Accessibility Policies
Supporters
Financial Reports
Subscribe

  • © Copyright 2026 CIFAR. All Rights Reserved.
  • Charitable Registration Number: 11921 9251 RR0001
  • Terms of Use
  • Privacy
  • Sitemap

Subscribe

Stay up to date on news & ideas from CIFAR.

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy.
Accept Learn more