As artificial intelligence rapidly transforms how we learn, work, and innovate, RRC Polytech is committed to ensuring these technologies are used thoughtfully, ethically, and in ways that strengthen our mission. To guide this work, we’ve developed a set of AI commitments rooted in responsible practice and aligned with our institutional values and global standards. 

Our approach is shaped by key considerations, including safety and security, data privacy, explainability, transparency, reliability, accountability, fairness, data sovereignty, and human-centered design. These principles reflect our belief that AI should enhance education and community impact and not compromise it. 

Commitments

RRC Polytech makes the following AI Commitments:

1. Grounded in Our Values and Purpose
   Every AI initiative reflects our Polytechnic values and aligns with our mission to advance education and community impact.
   
2. Human-Centered Always
   AI will enhance, not replace, the human experience. We keep “humans in the loop” to amplify critical thinking, creativity, and innovation.
   
3. Purpose Over Hype
   We adopt AI where it creates real value for students, faculty, staff, and the institution. Every use case must serve strategic goals and community benefits.
   
4. Shared Adaptation and AI Literacy
   We commit to building AI literacy for students, faculty, and staff while fostering a culture of shared responsibility for learning and adaptation as roles evolve.
   
5. AI for Good and Sustainability
   We use AI to advance learning and innovation while considering equity, environmental impact, energy efficiency, and long-term sustainability.

Principles

RRC Polytech upholds the following AI principles that align with global standards:

1. Safety and Security
   AI systems are robust, secure, and designed to protect and enhance. They prioritize cybersecurity resilience and reliability to ensure trust and safety.
   
2. Data Privacy
   AI upholds personal, institutional, and cultural data privacy, ensuring responsible use, secure storage, and compliance with governance, policies, and Indigenous data sovereignty
   
3. Explainability and Transparency
   AI decisions and operations are clear, traceable, and openly communicated. Transparency fosters trust and strengthens academic integrity while protecting intellectual property rights.
   
4. Validity and Reliability
   AI is accurate, consistent, and purpose-driven, supported by ongoing monitoring and quality enhancement.
   
5. Accountability
   AI is guided by clear responsibility for decisions, supported by human oversight, and committed to ethical governance, regulatory compliance, and proactive risk management.
   
6. Fairness and Bias Detection
   AI systems strive to promote equity, reduce bias, and foster inclusivity across the Polytech community.
   
7. Ethical Purpose, Social Responsibility and Sustainability
   AI is ethical, accessible, and inclusive, with consideration for sustainability and minimizing environmental impact.

Learn more about RRC Polytech’s AI Strategy.