Client: GUS Canada

Industry: Education

Overview

GUS Canada sought to integrate Generative AI (GenAI) technologies into its academic and operational practices while addressing ethical concerns, privacy issues, and potential biases. BTB Consulting partnered with the university to develop a comprehensive Responsible AI (RAI) framework to guide faculty, staff, and students in using AI responsibly, ethically, and effectively.

Objectives

The primary goals of the project were:

• Establish Ethical AI Practices: Develop clear principles for AI usage aligned with the university’s values and societal standards.
• Enhance AI Literacy: Empower university members with knowledge about AI capabilities, limitations, and ethical considerations.
• Mitigate Risks: Address concerns related to data privacy, algorithmic bias, and intellectual property.
• Support Equity and Inclusion: Ensure AI tools are accessible and used fairly across all demographics.
• Promote Innovation: Foster responsible AI adoption to enhance teaching, learning, research, and operational efficiency.

   

Approach

BTB Consulting employed a structured methodology to design the Responsible AI framework:

Discovery and Analysis

• Conducted workshops with stakeholders to understand AI-related needs and challenges.
• Reviewed international AI standards, such as the OECD AI Principles and the Canadian AI and Data Act.

   

Framework Design

• Developed guiding principles, including Human-in-the-Loop (HITL), transparency, equity, and privacy.
• Established governance policies for monitoring AI adoption and ensuring compliance.

   

Implementation

• Provided training resources for faculty, staff, and students to develop AI literacy.
  
• Integrated RAI principles into academic and administrative workflows.

   

Continuous Improvement

• Established an AI Governance Committee to oversee adherence to guidelines and accommodate evolving AI trends.
• Recommended periodic reviews to refine practices based on feedback and technological advancements.

   

Key Deliverables

• Core Principles of Responsible AI Use
• Guidelines for Teaching, Learning, and Research
• Clear rules for AI use in assignments, syllabus integration, and academic integrity.
• Emphasis on AI as a supplementary tool, not a replacement for critical thinking or human judgment.
• AI Governance Framework
• Formation of an AI Governance Committee to oversee AI implementation.
• Regular audits and risk assessments to ensure compliance with ethical and legal standards.
• Practical Tools and Training
• Templates for AI documentation and citation practices.
• Training sessions to improve AI literacy and responsible use across the university.

   

Results

• Ethical Alignment: The framework ensured that AI usage adhered to institutional values and societal expectations.
• Enhanced Awareness: Faculty, staff, and students gained a comprehensive understanding of responsible AI practices.
• Improved Risk Management: Proactive measures mitigated privacy, bias, and security concerns.
• Support for Innovation: The university adopted AI technologies confidently, balancing productivity with ethical considerations.

   

Why Choose BTB Consulting?

This project highlights BTB Consulting’s expertise in designing adaptive frameworks for AI governance. By aligning technology with ethics, we empower organizations to harness AI’s potential responsibly.