AI Ethics and Governance Training is a practical program designed to help professionals understand how to use, manage, and govern artificial intelligence responsibly. As organizations increasingly adopt AI tools and systems, establishing appropriate safeguards for privacy, security, fairness, transparency, and accountability has become an essential part of successful AI adoption.
Duration 1 day – 7 hrs
Overview
The AI Ethics and Governance Training is a practical, one-day program designed to help professionals and organizations understand how to adopt, use, and manage artificial intelligence responsibly in the workplace. As AI and generative AI become increasingly integrated into business operations, organizations need clear guidelines and governance practices to address risks related to privacy, security, bias, accuracy, transparency, and accountability.
This course provides participants with a practical foundation in responsible AI, workplace AI governance, data privacy, compliance, and AI risk management. Rather than focusing on technical AI development, the training emphasizes the policies, practices, and decision-making principles that organizations can use to promote safe, ethical, and effective AI adoption across different business functions.
Participants will explore key principles of responsible AI, including fairness, transparency, accountability, human oversight, privacy, and security. They will learn how these principles apply to everyday workplace use of AI tools and how organizations can establish appropriate controls to reduce potential risks.
A major focus of the course is identifying and managing common AI risks, including hallucinations, misinformation, bias, inappropriate outputs, and misuse of sensitive information. Through practical examples and guided discussions, participants will learn how to critically evaluate AI-generated content, recognize potential risks, and apply appropriate safeguards before using AI outputs in professional decision-making.
The training also examines AI usage policies and governance frameworks, helping participants understand how organizations can establish clear expectations for employees and teams. Learners will explore practical considerations for using generative AI, open-source AI models, external AI services, and cloud-based tools while maintaining appropriate privacy, security, and compliance practices.
Through real-world case studies and interactive activities, participants will examine ethical challenges involving areas such as hiring, marketing, customer service, business communications, and decision-making. They will practice identifying ethical concerns and developing practical responses that balance the benefits of AI with organizational responsibilities and potential risks.
The course concludes with a hands-on activity where participants evaluate an AI use case, identify potential ethical and governance concerns, and develop a responsible AI usage guideline or ethics checklist tailored to their department or organization.
By the end of the AI Ethics and Governance Training, participants will be equipped with the knowledge and practical tools to evaluate AI risks, promote responsible AI use, support workplace governance, protect sensitive information, and contribute to ethical and accountable AI adoption within their organization.
Learning Objectives
- Understand the principles of ethical AI use and governance in the workplace
- Identify and mitigate risks such as bias, hallucinations, and misinformation in AI outputs
- Apply data privacy and compliance practices, especially when using open-source and generative AI tools
- Establish workplace AI usage policies and best practices
- Promote trust, fairness, and accountability in AI-assisted decision-making
Audience
- HR leaders, compliance officers, risk managers, and IT policy makers
- Business leaders, department heads, and digital transformation officers
- AI tool users across marketing, HR, operations, and finance
- Anyone responsible for defining or following ethical standards for AI adoption
Prerequisites
- Basic understanding of AI tools (e.g., ChatGPT, Claude, Copilot)
- No technical or programming background required
- Prior exposure to company policies or compliance practices is helpful
Course Content
Session 1: Introduction to AI Governance and Responsible Use
- What is responsible AI?
- Overview of ethical principles: fairness, transparency, accountability
- AI usage policies in the workplace: why they matter
- Role of governance in AI adoption and risk management
Session 2: Workplace AI Usage Guidelines and Policies
- Defining acceptable use of GenAI tools in teams
- Setting internal AI policy frameworks
- Examples of real-world AI governance policies (Microsoft, Google, OECD, etc.)
- Drafting your own AI usage policy outline
Session 3: Data Privacy, Compliance & Open-Source Considerations
- Managing sensitive data with AI tools
- Understanding GDPR, HIPAA, and other regulatory obligations
- Using open-source AI (e.g., DeepSeek, LLaMA) responsibly
- Ensuring secure and compliant use of external APIs and cloud-based models
Session 4: Recognizing and Mitigating AI Hallucinations and Bias
- What are AI hallucinations and why they happen
- Understanding bias in model training and output
- Strategies to detect, reduce, and manage misleading or harmful AI outputs
- Evaluating AI-generated content for factual accuracy and ethical alignment
Session 5: Case Studies and Practical Applications
- Case review: AI misuse in hiring, marketing, or customer support
- Discussion: What would you do? Responding to ethical dilemmas with AI
- Building your AI Ethics checklist for your team or company
Final Hands-On Activity:
Participants will review a real-world AI use case, identify ethical concerns, suggest policy revisions, and present a responsible use guideline tailored to their department or company.
