About this Event
Group Discounts:
- Save 10% when registering 3 or more participants
- Save 15% when registering 10 or more participants
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included
Course Overview
This workshop provides a practical and structured understanding of how to design, manage, and govern AI systems responsibly. Participants will explore ethical frameworks, accountability structures, bias awareness, regulatory implications, and transparency practices to ensure AI systems align with human values. Through guided discussions and scenario-based activities, attendees will learn how to make ethical decisions, reduce harm, and integrate governance controls into real-world AI development and deployment.
Learning Objectives
- Understand ethical risks and human impact of AI systems
- Detect and mitigate algorithmic bias and fairness issues
- Apply governance frameworks to AI development workflows
- Navigate emerging global AI regulations and compliance requirements
- Create transparent, accountable, and responsible AI processes
- Develop a practical ethical AI implementation plan
Target Audience
- AI & Technology Leaders
- Compliance, Legal & Risk Professionals
- Policymakers and Public Sector Advisors
- Product Managers and Innovation Teams
- Organizational Governance & Strategy Stakeholders
Why Choose This Course?
AI is rapidly shaping business, policy, and society — yet many organizations struggle to implement governance frameworks that ensure fairness, safety, and accountability. This program translates complex ethical concepts into simple, practical tools that professionals can apply immediately.
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Want to train your entire team?
In-house sessions can be fully customized to your organization’s policies, industry regulations, risk exposure, and AI maturity level — ensuring the learning directly applies to real workflows and decision-making contexts.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: Introduction to Ethical AI
Info: • Key principles of ethical AI development
• Human-centered values in AI design
• Understanding societal impact and responsibility
• Icebreaker Activity
Module 2: Bias, Fairness & Transparency
Info: • How bias enters AI systems
• Techniques to increase fairness and explain ability
• Impact of data sources on model behavior
• Activity
Module 3: Organizational Accountability & Leadership
Info: • Accountability models for AI decision-making
• Roles of ethics boards and governance teams
• Designing responsibility into workflows and approvals
• Role Play
Module 4: Policy, Regulation & Compliance
Info: • Overview of global AI regulatory trends
• The EU AI Act and regional compliance duties
• Aligning internal policy with external expectations
• Case Study
Module 5: Responsible AI Deployment at Scale
Info: • Risk assessment and mitigation planning
• Monitoring and auditing AI behavior post-launch
• Communicating AI system outputs transparently
• Simulation
Module 6: Cultural and Human Considerations
Info: • Cultural context and inclusivity in AI systems
• Stakeholder engagement and community impact
• Balancing innovation with care and trust
• Group Brainstorm Activity
Module 7: Implementation & Action Planning
Info: • Creating your ethical AI governance roadmap
• Setting measurable oversight and accountability goals
• Sustaining responsible AI practice long-term
• Action Plan Review
Event Venue & Nearby Stays
Regus - Montreal, QC, 1200 Avenue McGill College, Montreal, Canada
CAD 519.35 to CAD 690.09
