Choose another country to see content specific to your location
//Select CountryWhitepaper
Artificial Intelligence (AI) is increasingly being used in commercial and mission critical applications. AI has not only been successfully applied in customer facing products and services, but also within companies to improve maintenance and skills management. However, there also have been devastating failures with dramatic consequences for users’ health, damage to reputation, and leading to loss of assets. Unfortunately, existing software-centric methods of testing and quality assurance have thus far failed to appropriately address the black box nature of AI. Such methods are not even able to accurately quantify the risks associated with AI components. Given these shortcomings, what should companies do to benefit from AI technology while keeping exposure to risk under control?
TÜV SÜD’s AI Quality Management System (AI-QMS) offers a transparent and objective framework to identify, manage, and mitigate risks associated with AI technologies. It defines an AI specific life cycle model for development and operation of AI based products and services, which covers both AI technology and AI data.
The AI-QMS guides you through the selection of quality goals and assists monitoring by defining conditions of acceptability in response to common pitfalls at each life cycle phase. The successful adoption of the AI-QMS can earn you a quality mark which elevates trustworthiness and minimises uncertainty.
The AI Quality Management Training provides a comprehensive overview on how to successfully apply a quality management system for AI. It provides a background on common AI techniques and list pitfalls and best practices. The knowledge gained in this training will help the learner to apply the methods in their own context and successfully launch AI based products and services.
Duration: 2-day course
Topics to be covered in this course include:
Introduction to AI
• Overview and differentiation of most used methods
• Typical application of AI technology
– Type of problems that AI can solve
– Advantages using AI
• Challenges of AI
– Risks and liabilities
– Governance
– AI specific considerations (e.g. privacy, traceability, uncertainty, transparency)
– Current technology limitations
Overview of existing regulatory frameworks and standards
Introduction of the AI Quality framework
• Safety
• Security
• Legal
• Ethics
• Performance
Machine learning life cycle
• Considerations for AI-technology and AI-data
• Governance and stakeholder management
• Best practices
Outlook on product evaluation and testing
• Gap assessment
• Planning of next steps
Introduction to AI
• Taxonomy and classification of traditional and modern
AI methods
• Use-cases of AI
– Typical application areas and problem statements
– Overview of modern AI algorithms
• Challenges of AI
– Impact on tools and methods for development and testing including AI specific considerations (e.g. privacy, traceability, uncertainty, transparency, etc.)
– Common problems (e.g. robustness, overfitting, bias, etc.)
AI reference architecture
Introduction of the AI Quality framework
• Safety
• Security
• Legal
• Ethics
• Performance
Machine learning life cycle
• AI component life cycle
• AI data life cycle
• Tools and best practices
Outlook on product evaluation and testing
• Gap assessment
• Planning of next steps
Participants will learn through lectures, case studies, group exercises and discussions.
This course features two main tracks, specially designed for::
1. Management track
• Top-level management
• Technical management
2. Technology track
• AI practitioners
• Users of AI technology
Prerequisite: For an easier learning experience in the technology track, a background in common machine learning algorithms such as deep learning is beneficial. The course does not require an in-depth knowledge of a specific library or programming language.
The course content and structure are designed by the domain experts from TÜV SÜD.
With immense experience and knowledge in the relevant standards, our team of product specialists and technical experts at TÜV SÜD, developed the course content based on current business landscape and market requirements.
World-class training – by learning from TÜV SÜD’s industry experts and training specialists
Interactive learning style – with interactive formats such as lectures, illustrations and simulations are used
Networking opportunity – where you can meet and build network with like-minded individuals at our instructor-led training
Gain a competitive edge – by getting trained by experts known in the fields of safety, security and sustainability
To contact someone from TÜV SÜD, you may email us at [email protected] .
To know more about TÜV SÜD, please click here.
Select Your Location
Global
Americas
Asia
Europe
Middle East and Africa