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.
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.
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.
Who should attend?
- AI Managers
- Data Governance Managers
- 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:
- 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
What's included?
- This is an online, eLearning course.
- You’ll have access to the course for 12 months.
On completion, you'll be awarded an internationally recognized BSI Training Academy certificate.
For information on the process after applying for on-demand training, how to take the training, etc., please refer to Accessing BSI E-learning Courses.
Course Guide
Course Duration Hours
- 3 Hours.
Payment
Invoice(Bank Transfer)
We will send you an invoice (PDF) by e-mail within 5 business days after your application. Please make payment by bank transfer by the due date as indicated on the invoice.
Credit Card
We will send you a paid invoice (PDF) by e-mail approximately 5 business days after your application. Discounts other than promotional codes are not eligible for card payment.
Cancellation Policy
In the event of cancellation after registration, a cancellation fee of 100% of the full amount of the course fee will be charged.
