Bias in AI systems can take on many different forms. For example, when an AI system learns patterns from data, it may unintentionally adopt existing societal biases against certain group. Here at BSI, we have developed a comprehensive course that delves into the critical topics of bias and fairness in AI system, based on the ISO/IEC 24027:2021 standard. The course explores the importance of the ethical and fair development in AI Technologies.
On-demand - training that’s even more flexible
BSI’s on-demand courses are market-leading and available 24/7. Developed by top subject matter experts, they contain the same high-quality content you will find in our tutor-led training, but with the added benefit of being able to learn at your own pace and at any time.
How will I benefit?
This course will help you:
- Gain awareness of the meaning of bias in the context of AI systems, which is a key concept in the forthcoming EU AI regulation,
- Spot where and how bias concerns may arise,
- Understand the different kinds of unwanted bias that one can face in the development and deployment of AI systems.
Who should attend?
- AI manager
- Data Governance Managers
What will I learn?
Upon completion of this course, you will be able to:
- Explain what bias of an AI system is,
- Recognize the different kinds of unwanted bias that one can face in the development and deployment of AI systems.
What is included?
On completion, you’ll be awarded an internationally recognized BSI training course certificate.
Prior knowledge and learning
The course assumes that delegates know the basic concepts of AI, ML, and understand what a neural network is.
