AI Ethics and Governance Training

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.

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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

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