Algorithmic Bias & EDI

• Format: Live Webinar
• Program date: May 15,2026. 1:00 pm est

• The Hon. Justice Rick Libman, Ph.D. (Osgoode) of the Ontario Court of Justice

Mod 1: Course 1.2 (Algorithmic Bias & EDI)

Registration for Standalone Credits

Description

As AI systems are trained on historical data, they often inherit and amplify systemic biases. This session explores the lawyer's role in ensuring that "Digital Justice" remains equitable and accessible to all members of society.

• Key Learning Outcomes:

  • Identifying Algorithmic Bias: Understanding how "black box" algorithms in research, hiring, and predictive tools can perpetuate discrimination against marginalized groups.

  • Mitigation Strategies: Practical steps for auditing the AI tools your firm uses to ensure they do not produce discriminatory outcomes or violate human rights codes.

  • Inclusive Client Service: Using AI to bridge the "Access to Justice" gap, ensuring that automated tools are designed to assist, not exclude, diverse populations.

  • Ethics of Data Sets: Challenging the validity of automated evidence or research that is built on non-representative or biased data.

Registration Details & Format

Admission Requirement: Registrants must be licensed legal practitioners in good standing (Canada or International).

Learning Formats:

• Online: 24/7 On-Demand Video 

• Online: Live Interactive Sessions 

Registration Instructions

Upon successful payment, an automated email will be sent within 5 minutes. Registrants must check their email account, including the spam/junk folder, for further access instructions.

Professional Declaration & Terms

• Privacy & Data Policy: Registrants agree that they will not use real, sensitive, or identifiable client data during any AI tool demonstrations or practical labs if applicable. 

• Attendance Verification: Registrants understand that for "Audit-Proof" certification, attendance (live) or watch-time (on-demand) will be tracked, and if applicable Registrants may participate in a brief knowledge assessment at the end of each module.

• Refund Policy: Registrants acknowledge that module fees are non-refundable once digital course materials or videos have been accessed.

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• How to pay Tuition Fees and Dues