Ambeone’s AI Ethics and Governance
Building Trustworthy and Responsible AI Systems
In Person Class Room Training in Dubai
Course Objective
Ambeone’s AI Ethics and Governance program equips professionals and leaders with the knowledge and frameworks needed to ensure the ethical, transparent, and responsible development and use of AI systems, while aligning with global standards and organizational values.
Suitable for
This program is designed for Business leaders, compliance officers, policymakers, risk managers, data professionals, and anyone involved in the design, deployment, or oversight of AI systems who want to ensure ethical and responsible AI use within their organization.
Trustworthy AI: Ethics and Governance for the Real World
As artificial intelligence rapidly transforms how organizations operate, the need for ethical, transparent, and accountable AI practices has never been more urgent. This program provides a foundational and practical understanding of AI ethics and governance, empowering professionals to navigate complex issues like bias, data privacy, algorithmic accountability, and regulatory compliance.
Through real-world case studies, global frameworks, and practical tools, participants will gain the skills to build trustworthy AI systems, align AI use with organizational values, and contribute to responsible innovation in their fields.
Learning Outcomes:
With Ambeone’s AI Ethics and Governance program, Participants will be able to:
Understand key ethical principles related to AI, including fairness, accountability, transparency, and privacy
Identify and manage risks such as algorithmic bias, data misuse, and lack of explainability
Apply global AI governance frameworks and regulatory requirements (e.g., EU AI Act, OECD Principles)
Develop internal policies and oversight mechanisms for ethical AI deployment
Promote responsible AI use within their teams and organizations
Evaluate and respond to real-world ethical dilemmas involving AI systems
Align AI initiatives with organizational values and stakeholder expectations
Who should attend:
This Ambeone’s Executive program in AI Ethics and Governance is ideal for professionals and decision-makers involved in the development, deployment, oversight, or regulation of AI systems. It is especially suited for:
Business Leaders & Executives
Seeking to ensure their organization’s AI strategy aligns with ethical standards, stakeholder expectations, and regulatory requirements.Compliance Officers & Risk Managers
Responsible for managing legal and ethical risks associated with AI applications, including data governance and regulatory compliance.Technology & Data Leaders
Including CTOs, CIOs, data scientists, and AI/ML engineers who design and implement AI solutions and must embed responsible practices in the AI lifecycle.Policy Makers & Regulators
Working on AI-related laws, public policy, or governance frameworks, aiming to understand the broader ethical and societal implications of AI.HR, Marketing, and Operations Professionals
Involved in AI adoption across departments, who need to be aware of the ethical use of AI in people analytics, customer engagement, automation, and decision-making.Legal and Ethics Consultants
Advising organizations on responsible innovation, data ethics, and digital compliance strategies.Academics & Researchers
Focused on ethical AI, social impact, and governance models in the context of emerging technologies.
No technical background is required—just an interest in responsible, human-centered use of AI technologies.
Topics Covered in Ambeone’s AI Ethics and Governance program
1. Introduction to AI Ethics and Governance
What is AI ethics and why it matters
Core concepts: transparency, accountability, fairness, privacy
Global standards and emerging regulatory frameworks
2. Ethical Challenges in AI Development and Use
Algorithmic bias and discrimination
Data privacy and consent
Autonomous decision-making and human oversight
3. Governance Frameworks and Best Practices
Internal governance models: committees, policies, and controls
Risk management approaches for AI systems
Examples from government, finance, healthcare, and more
4. Responsible AI Design and Deployment
Ethical considerations in AI lifecycle: design, training, deployment, and feedback
Human-in-the-loop vs. full automation
Building explainability and trust into AI tools
5. Regulatory Landscape and Compliance
Overview of key regulations: EU AI Act, OECD principles, national policies
Industry-specific compliance requirements
Preparing for audits and regulatory reviews
6. AI Accountability and Risk Management
Defining roles and responsibilities for AI oversight
Handling ethical dilemmas and unintended consequences
Incident response and ethical escalation paths
7. Ethics in Generative AI (GenAI)
Content authenticity, misinformation risks, and deepfakes
Intellectual property and ownership of AI-generated outputs
Ethics of prompt design and output monitoring
8. Building a Culture of Ethical AI
Creating awareness across teams and departments
Training and upskilling on AI ethics
Encouraging transparency, fairness, and inclusivity
9. Case Studies and Industry Scenarios
Real-world examples of ethical success and failure
Sector-specific challenges and responses
Group discussions and analysis
10. Action Planning and Organizational Implementation
Developing an AI ethics and governance roadmap
Aligning ethical AI with business strategy
Tools, templates, and resources for implementation
Program Focus:
This program focuses on empowering professionals to understand and apply ethical principles and governance frameworks in the development and use of AI systems. Participants will explore real-world risks such as bias, lack of transparency, and data misuse, while learning how to implement practical strategies for accountability, compliance, and responsible innovation. The emphasis is on aligning AI practices with organizational values, regulatory standards, and societal expectations.
Course Duration
24 Hours of Instructor Led Session
+
Case Studies + Group Assignments
Course Format
3 Days Workshop for Corporate batches
or
Six Weekend Sessions for Public batches
Course Pre-Requisite
No prior technical or programming experience is required. However, participants will benefit most if they have:
A basic understanding of AI applications or interest in emerging technologies
Experience in decision-making, compliance, policy, technology, or strategic planning roles
A desire to shape or influence how AI is used ethically and responsibly within their organization
