EqHS 3-day AI Intensive - Ottawa

Join us for a specialized 3-day program to learn and leverage the CARE-AI Framework in assessing your organization’s readiness, barriers, and key priorities for AI use and leave with an actionable, personalized AI implementation plan.

You’ll work through implementation strategies, explore real-world case scenarios, and engage in meaningful discussions with peers facing similar challenges in complex health systems. The goal is not just to learn about AI, but to leave ready to apply it.

To round out the experience, participants are invited to connect beyond the classroom during a social afternoon in beautiful Gatineau Park. This is an opportunity to build relationships, exchange ideas, and enjoy one of the most beautiful natural settings of the Nation’s Capital.

• Assess organizational and individual readiness for responsible AI integration.
• Describe the CARE-AI framework and its nine principles.
• Apply principles to case-based scenarios across Health Professions Education (HPE), research, and care.

• Understand Implementation Guide & Toolkit across contexts.
• Compare how AI challenges manifest differently in research, education, clinical, and administrative domains.
• Identify context-specific risks related to bias, integrity, and accountability.

• Identify priority areas for AI implementation within their contexts.
• Analyze structural, cultural, and operational barriers.
• Engage in collaborative sense-making across disciplines.

• Build relational trust and connection across participants.
• Reflect on leadership, context, and environment in shaping AI use.
• Strengthen collaborative networks to support implementation.

• Translate CARE-AI principles into context-specific strategies.
• Develop personalized approaches to ethical AI integration.
• Receive consultative feedback on implementation plans.

• Finalize actionable implementation plans.
• Identify leverage points for system-level change.

This intensive is designed for individuals and teams involved in the responsible adoption, implementation, and oversight of artificial intelligence across healthcare, health professions education, and research settings. It is particularly relevant for:

• Clinicians and clinical leaders responsible for patient care, safety, and decision-making;
• Health system leaders, administrators, and governance bodies overseeing AI strategy, procurement, and policy;
• Researchers and research offices engaged in AI-enabled discovery, data stewardship, and ethical oversight;
• Educators, program directors, and faculty supporting AI literacy, supervision, and professional development;

This program brings together diverse interest-holders across roles and disciplines, recognizing that responsible AI implementation is a collective responsibility requiring coordination, shared accountability, and cross-sector dialogue.

No technical or coding background required. This is designed for applied, real-world healthcare contexts.

Know what’s Happening Next — before everyone else does.

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Host or Publisher Equity in Health Systems