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:
- Build a toolset of methods that can help identifying bias and fairness issues,
- Identify potential sources of unwanted bias and terms to specify the nature of potential bias,
- Assessing bias and fairness through metrics,
- Addressing unwanted bias through treatment strategies.
Who should attend?
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI architects
What will I learn?
Upon completion of this course, you will be able to:
- Recognise and detect unwanted Bias in AI system
- Apply measurement techniques and methods to assess bias and fairness,
- Mitigate bias-related vulnerabilities
- Control and treat of unwanted bias throughout an AI system life cycle (Design, and Development, Verification and Validating, Deployment
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 and understand what a neural network is.
We recommend attending the: ‘Bias in AI systems and AI aided decision-making Awareness On-demand Training Course’
