By the end of this course, learners will be able to:

1. Understand the principles and importance of AI ethics.
2. Identify key stakeholders and their roles in AI ethics and governance.
3. Apply leading ethical frameworks to AI projects.
4. Build and implement AI governance models.
5. Integrate compliance programs and risk management strategies.
6. Recognize emerging trends and challenges in AI governance and compliance.
7. Develop organizational frameworks for ethical AI development and deployment.

AI Ethics, Governance, and Compliance - Course Syllabus

Module 1 - AI Ethics

• What is AI
• What are Ethics, Governance and Compliance- An Introduction
• AI Ethics
• Introduction- Understanding AI Ethics
• Stakeholders in AI Ethics
• Principles of beneficence and non- maleficence
• Discussion on Accountability
• Ethical AI Frameworks
• Property of the System- Transparency
• AI and Human rights
• Non discrimination
• Ethics in practice
• Common ethical issues in AI

Module 2 - AI Governance

• AI Governance
• What is AI Governance?
• Need for AI Governance
• Building blocks and Key components of AI Governance
• Approach to AI Governance
• Implementing AI Governance
• Developing a Compliance program
• Model of AI Governance
• AI governance frameworks
• AI Governance toolkit
• Best Practices
• Measuring Governance and Compliance Effectiveness
• The path ahead- Future of AI Governance
• Current Trends
• Overcoming AI Governance challenges
• Synthesizing AI Governance into Action

Module 3 - AI Compliance

• AI Compliance
• Understanding AI Compliance
• Importance of AI Compliance
• Keys Aspects of AI compliance
• Ensuring AI Compliance
• Risk Management in AI
• Type of AI Risks
• Assessing AI risks
• Risk mitigation techniques
• AI Risk management in Action
• Building a Risk Management framework

Upon successful completion of the AI Ethics, Governance, and Compliance course, learners will receive a Course Completion Certificate recognizing their proficiency in managing ethical, governed, and compliant AI systems.

This certificate will strengthen your profile in industries emphasizing ethical AI use, regulatory compliance, and responsible innovation.

Completing this course unlocks diverse career opportunities in responsible AI and technology governance roles. Positions include:

1. AI Ethics Officer
2. AI Governance Consultant
3. Compliance Analyst (AI/Tech)
4. Risk Management Specialist for AI
5. AI Policy Advisor
6. Responsible AI Engineer
7. AI Regulatory Compliance Manager

Sectors such as finance, healthcare, government, technology, and consulting increasingly demand professionals skilled in ethical AI practices and governance.

Whether you're a tech professional, policy expert, or business leader, this course positions you for leadership roles in the responsible AI landscape.

1. What is AI Ethics and why is it important?
AI Ethics involves the study and implementation of moral values and principles in the development and use of AI technologies. It is important to ensure AI systems are fair, transparent, accountable, and respect human rights.

2. Who are the stakeholders in AI Ethics?
Stakeholders include AI developers, users, policymakers, business leaders, regulatory bodies, and affected communities. Each has a role in ensuring ethical AI practices.

3. What is meant by "AI Governance"?
AI Governance refers to the structures, policies, and processes that oversee AI development and deployment to ensure accountability, transparency, fairness, and compliance with laws and ethical norms.

4. Why is transparency important in AI systems?
Transparency helps users and regulators understand how AI decisions are made, builds trust, facilitates accountability, and enables easier detection of biases and errors.

5. What are some key principles of ethical AI?
Key principles include beneficence (doing good), non-maleficence (avoiding harm), fairness, transparency, accountability, privacy protection, and respect for human rights.

6. How can organizations implement AI Governance frameworks?
Organizations can develop AI governance by setting ethical guidelines, establishing oversight committees, conducting regular audits, training staff, and integrating ethical reviews into the AI development lifecycle.

7. What is AI Compliance and why is it necessary?
AI Compliance involves adhering to laws, regulations, and ethical standards related to AI technologies. It ensures that AI systems are legally compliant, ethically sound, and mitigate risks like bias, discrimination, or misuse.

8. What are common risks associated with AI?
Risks include algorithmic bias, discrimination, privacy violations, lack of transparency, security breaches, and unintended harmful outcomes.

9. How is risk management applied in AI?
Risk management in AI involves identifying, assessing, and mitigating potential ethical, legal, and operational risks associated with AI systems through frameworks, audits, testing, and continuous monitoring.

10. What are some best practices for ensuring ethical AI development?
Best practices include stakeholder engagement, transparency in design, inclusive datasets, bias testing, regular audits, establishing accountability structures, and ongoing education on ethical standards.

1. What is AI Ethics, Governance, and Compliance?
   It refers to the responsible development and use of AI technologies guided by ethical standards, governance structures, and regulatory compliance.
2. Who should enroll in this course?
   AI developers, technology leaders, compliance officers, policy makers, and anyone interested in responsible AI practices.
3. Is this course beginner-friendly?
   Yes! No prior technical or legal knowledge is necessary. The course starts from basic concepts and moves to advanced governance strategies.
4. What is the course format?
   Self-paced online learning with pre-recorded expert video lectures.
5. Will I get a certificate after completing the course?
   Yes, all learners receive a Course Completion Certificate.
6. Does this course cover real-world frameworks and examples?
   Absolutely. It includes detailed discussions of frameworks like OECD AI Principles, EU AI Act, and organizational best practices.
7. Are there any prerequisites for taking this course?
   No strict prerequisites. A basic interest in AI technologies and ethical considerations is sufficient.
8. How long will I have access to the course materials?
   Lifetime access upon enrollment.
9. Is there any hands-on practice included?
   Yes! Case studies, real-world frameworks, and practical examples are included.
10. What kind of support will I receive during the course?
    Access to doubt clarification support, additional learning materials, and community discussions.