Level 2 of the SITI AI Ethics Learning Pathway

Course Overview

Building on AI Ethics: Foundations, this course moves from ethical awareness to applied governance and implementation of Responsible AI.

Participants explore how to translate principles such as fairness, accountability, transparency, and privacy into actionable organizational practices. The course introduces the structures, frameworks, and tools needed to implement Responsible AI effectively across business, education, and public-sector environments.

Through interactive case analysis, risk assessment exercises, and policy design workshops, learners will develop a practical understanding of global frameworks—including FAIR, UNESCO, OECD, and the EU AI Act, and how these guide ethical AI adoption and compliance.

By the end of the course, participants will be able to design governance mechanisms and create actionable Responsible AI implementation plans for their organizations.

Prior Knowledge

This course assumes participants already possess foundational knowledge of AI Ethics, including:

• Awareness of AI fundamentals and ethical principles (Fairness, Accountability, Transparency, Privacy).
• Understanding of basic ethical risks such as bias, misinformation, and data privacy issues.

Such knowledge may have been gained through:

• Completion of AI Ethics: Foundations, or
• Professional experience or self-directed study of AI Ethics principles.

Learning Outcomes

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

1. Integrate ethical and regulatory frameworks (FAIR, OECD, UNESCO, EU AI Act) into Responsible AI governance models.
2. Apply Responsible AI principles to design ethical and transparent organizational processes.
3. Develop governance and oversight structures suited to different organizational contexts, including SMEs.
4. Assess AI-related risks and compliance requirements using recognized methodologies.
5. Implement ethical review, audit, and accountability mechanisms in AI-enabled workflows.
6. Produce a Responsible AI Implementation Plan demonstrating alignment with ethical principles, compliance standards, and organizational goals.

What You Will Learn

• How to operationalize AI ethics through governance and risk management.
• Practical approaches to integrating Responsible AI frameworks into organizational policy.
• The role of AI governance structures, ethics officers, and oversight committees.
• Tools for AI risk assessment, transparency documentation, and compliance audits.
• How to create Responsible AI implementation plans tailored to business or institutional needs.
• Best practices for fostering an ethical culture and continuous improvement in AI use.

Who This Course Is For

• Professionals, compliance officers, and managers responsible for AI deployment.
• SME owners and digital transformation leaders seeking to adopt AI responsibly.
• Policy, governance, and ethics professionals in public or private sectors.
• Graduates of AI Ethics: Foundations or equivalent experience with ethical AI principles.

Course Structure

Duration: 14 hours (two full days or four sessions)
Delivery: Blended / Online live / In-person workshop
Certification: Certificate of Completion – AI Ethics with Responsible AI: Governance and Implementation
Institution: Sydney Institute of Technology & Innovation (SITI)