Ethical AI & Technology Governance Basics – 1 Day Course, New York City, NY
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About the course:
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom / In-Person Workshop
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate Provided
Refreshments: Lunch, tea/coffee, and 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
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Agenda
Module 1: Introduction to Ethical AI
• Key principles of ethical AI development
• Human-centered values in AI design
• Understanding societal impact and responsibility
• Icebreaker Activity
Module 2: Bias, Fairness & Transparency
• 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
• 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
• 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
• Risk assessment and mitigation planning
• Monitoring and auditing AI behavior post-launch
• Communicating AI system outputs transparently
• Simulation
Module 6: Cultural and Human Considerations
• 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
• Creating your ethical AI governance roadmap
• Setting measurable oversight and accountability goals
• Sustaining responsible AI practice long-term
• Action Plan Review
FAQs:
1. Do I need technical AI experience to attend?
No — concepts are explained clearly for all backgrounds.
2. Does the course cover real-world examples?
Yes — practical case studies are included.
3. Will we discuss AI regulations?
Yes — including global policy and compliance updates.
4. Can this help reduce ethical or PR risks?
Yes — governance strategies directly support risk reduction.
5. Is this course useful for leadership teams?
Absolutely — decision-making frameworks are a key focus.
6. Can this apply to public sector or government?
Yes — governance and accountability models are adaptable.
7. Is there a hands-on workshop component?
Yes — activities, role plays, and simulations are integrated.
8. Can the course be customized for my organization?
Yes — in-house tailored versions are available.
9. Is certification included?
Yes — all participants receive a completion certificate.
