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.
What will I gain?
On completion, you’ll be awarded an internationally recognized BSI training course certificate.
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?
The objective of this course is to raise awareness about bias in the context of AI systems. We will explore into the potential risks and dangers associated with biased systems, and provide methods to assess and mitigate unwanted bias, in accordance with ISO/IEC 24027:2021. Through this course, participants will gain a deeper understanding of the concept of bias and learn practical approaches to evaluate and address bias in AI systems. Our aim is to empower individuals with the knowledge and tools needed to promote fairness and mitigate the impact of bias in AI systems.
Prerequisites
The course assumes that delegates know the basic concepts of AI, ML, and understand what a neural network is.
Notes
This is an online, interactive on-demand course. Courses are available 24/7 and you can learn at any time and from any place that suits you – you just need an internet connection. You can learn as fast or as slowly as you want to. You can also take breaks at any time in the course and pick up where you left off when you are ready to continue.
During the access period, you can go back and repeat parts or all the course to refresh and reinforce what you have learned. The course content is both detailed and engaging, with explanations, activities, and knowledge checks to enhance your learning.
