AI-Powered Decision Making: Data, Ethics, and Human-AI Collaboration
It provides a practical, non-technical introduction to AI, with real-world applications tailored to Toronto’s key sectors, including healthcare, finance, education, and marketing.
Duration: 25 hours
Delivery Mode: Online / In-person
Language: English
Credentials: Certification
Course Overview
In an era where AI systems are increasingly influencing high-stakes decisions, leaders must not only understand AI — they must know how to collaborate with it responsibly.
AI-Powered Decision Making: Data, Ethics, and Human-AI Collaboration equips professionals with the skills and frameworks to interpret AI outputs, evaluate risks, and apply ethical judgment when working alongside intelligent technologies.
This 25-hour course is designed for managers, educators, policymakers, and professionals in data-adjacent roles across Toronto and Canada, focusing on responsible AI use, ethical decision-making, and practical tools for human-AI collaboration.
Why Take This Course?
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Ethical AI Use: Learn how to evaluate AI-generated outputs with a critical lens and ethical grounding.
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Human-AI Synergy: Understand how to work with AI — not just use it — to solve complex problems.
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Canadian Focus: Explore ethical concerns, data privacy laws, and bias mitigation specific to the Canadian context.
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Future-Ready Thinking: Stay ahead of the curve in industries increasingly shaped by intelligent systems and automated insights.
What You'll Learn
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How to interpret AI outputs and recognize their limitations, uncertainties, and implications.
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How to identify and mitigate algorithmic bias, especially in relation to Canadian legal, social, and cultural contexts.
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How to solve real-world problems using AI-assisted tools, including prompt engineering and decision modeling.
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How to apply ethical decision-making frameworks to ensure responsible, transparent, and fair AI usage.
Course Outcomes
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Confidently evaluate the accuracy, relevance, and risks of AI-generated recommendations.
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Understand and reduce bias in data-driven decision-making, using Canadian best practices.
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Use AI tools for decision support, such as ChatGPT, AI-based simulations, and decision trees.
- Apply ethical and governance frameworks to integrate AI responsibly into your organization.
