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Assessing robustness of AI systems is a crucial part of their development and deployment. Here at BSI, we have developed a short course that explores the main principles and the importance of implementing robust deep learning systems, as outlined in ISO/IEC 24029-1:2021.
The course helps reinforce the importance of assessing robustness and understanding the impact that robustness issues can have on the development and deployment of deep learning systems
We aim to give you knowledge of the different contexts in which robustness concerns can arise, by providing examples of robustness concerns and give possible strategies for how to detect (and possibly address) such issues.
Obtain a detailed understanding of the key terms, definitions and requirements of ISO 42001:2023 and how the standard can help your organization to better utilize artificial intelligence (AI) systems they deploy to provide or use AI products or services.
Gain a thorough understanding of the history and development of ISO 42001:2023, key terms, definitions and the ISO harmonized structure. You’ll learn to interpret and apply the key concepts and principles of the standard to existing processes within your organization.
This course will help you understand what AI is, why it’s important, and how you can contribute.
The aim of this on-demand training is to provide participants with a comprehensive understanding of the factors that can impact the trustworthiness of an AI system, and equip them with the knowledge and skills necessary to ensure and improve trust, transparency, and ethical practices in AI development and deployment.
Have a question about our training courses or an enterprise program? Call our training solutions team at 1-800-217-1390 or submit an inquiry below.