Artificial Intelligence (AI) for Safety-Critical Applications

Artificial Intelligence (AI) offers tremendous opportunities for developing applications that were previously impossible to realize. For example, autonomous machines and safety-critical applications, such as medical diagnostics or the prediction of critical situations, cannot be implemented without AI. However, these applications must meet stringent requirements regarding functional safety and cybersecurity. These requirements arise from regulations (such as the AI Act), laws, standards, norms, and recognized state-of-the-art practices. 

The expert team at TÜV AUSTRIA TRUSTIFAI assesses and certifies AI systems at a unique level of excellence. In this course, you will learn about the potential applications of AI in safety-critical environments and the technical challenges related to robustness, accuracy, and explainability.

Content

• Fundamentals of Artificial Intelligence 
• Ethical foundations of AI use in safety-critical applications 
• Functional safety of AI systems 
• Cybersecurity of AI systems 
• Practical examples and use cases 
• Risk analysis exercises 
• Current trends and future developments in AI 

Upon completion of this course, participants will understand the fundamental technical and systematic requirements for safety-critical AI applications and be able to support the implementation of safety-critical AI projects. Furthermore, they will be able to define initial measures that contribute to the successful development of safety-critical AI systems.

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