PB03
Developing responsible AI systems
This course is designed to help you understand the key concepts around responsible AI before implementing it in your organisation. As the use of AI expands across organisations and decision-making processes, it is essential to apply recognised principles and governance practices that ensure safety, fairness and accountability in your organisation's AI systems and applications.
Standards play a critical role in the responsible use of AI by providing a shared, internationally recognised foundation for governance, risk management and quality assurance. Throughout this module, we will reference the standards that are most practical and relevant to supporting responsible and inclusive AI practices.
Topics
- Overview of AI systems
- Responsible AI
- Understanding the AI lifecycle
- Identifying AI risk when implementing AI systems
- Building inclusive AI systems
Learning outcomes
After completing this course, you will be able to:
- Describe the main stages of the AI lifecycle and identify relevant governance practices for each stage.
- Recall the core ethical considerations for building inclusive AI systems.
- Assess AI applications, differentiating between technical and ethical shortcomings.
- Formulate a recommendation to improve the inclusivity and ethical design of an AI system.