AI Foundations for Industry-Ready Research Students (Mitacs Workshop)

Mon. Feb. 2 01:00 PM - Mon. Feb. 2 04:00 PM

This foundational module bridges academic AI knowledge with industry practice, providing graduate students with essential understanding of artificial intelligence as a business tool. Students will explore AI's various branches and real-world applications across industries while developing critical perspectives on ethical AI deployment and professional responsibilities in workplace settings, preparing them to contribute effectively to industry AI initiatives

1. Introduction to AI

What is AI? Definitions and history
Overview of the different branches of AI
Real-world AI use cases across industries (health, manufacturing, etc.)

2. Ethics and Responsible AI

Bias, fairness, and transparency in AI
Data privacy and ethical use of AI in business
Introduction to responsible AI framework, regulations, and compliance

3. AI in the Workplace

How companies use AI to solve problems
Introduction to AI roles and responsibilities in industry

Learning Objectives:

Distinguish between key AI branches
Apply responsible AI frameworks
Assess AI use cases
Articulate AI professional roles and responsibilities
Synthesize academic AI knowledge with industry practice

Mitacs Skills for innovation developed through this workshop:

Critical thinking and creativity: problem solving, curiosity, judgment and decision making, risk assessment, and risk taking.
Leadership and management skills: intrapreneurship
Social and emotional skillsets: responsibility
Skills for resilience and career success: growth mindset, commitment to continuous learning