ISO/IEC TR 24028 – Overview of trustworthiness in artificial intelligence
Explore the fundamental principles and practical guidelines of ISO 24028:2020 on Trustworthiness in Artificial Intelligence. Designed for professionals seeking to enhance their understanding of AI best practices, this concise course delves into the critical aspects of building and deploying trustworthy AI systems.
On-demand - training that’s even more flexible
If you need to understand the requirements of this management system standard and are confident enough not to need tutor-led training, this online, self-paced course offers you complete flexibility.
You can study in your own time when it suits you, and you can access the course from any internet-enabled device 24/7.
How will I benefit?
Some of the key benefits of attending this course include:
• In-depth Understanding of AI Trustworthiness: you will gain a comprehensive grasp of the fundamental principles and guidelines for building trustworthy AI systems
• Risk Mitigation: you will acquire skills to assess and mitigate threats and risks associated with AI decision-making, reducing the potential for unintended negative consequences and bolstering the reliability of AI systems
• User and Stakeholder Engagement: Integrating user feedback and engaging with stakeholders becomes more effective, resulting in AI solutions that better cater to user needs and expectations
• Awareness of mitigation measures: Understanding the principles of controllability and explainability will allow you to create AI models and applications that provide clear explanations for their decisions, building trust with end-users and stakeholders
• Positive Societal Impact: Building trustworthy AI systems aligns with the goal of AI technologies benefiting society as a whole. You will contribute to creating AI solutions that are accountable, fair, and transparent, promoting the responsible adoption of AI
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Upon completion of this course, you will be able to:
- Analyse the factors affecting trustworthiness in AI systems and understand existing approaches for enhancing trustworthiness
- Assess the application of trustworthiness approaches to AI systems
- Understand vulnerabilities and threats in AI system that can undermine their trustworthiness
- Mitigate vulnerabilities in AI systems and improve their trustworthiness
- Investigate approaches for evaluating trustworthiness and implement trustworthiness measures in AI system design
- Understand ethical and societal implications of Trustworthy AI
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- AI Managers
- Data Governance Managers
- Data Scientists
- Data Analysts
- Data Engineers
- Machine Learning Engineers
- AI architects
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On completion, you’ll be awarded an internationally recognized BSI training course certificate.
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