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7 November 2024

Probabilistic safety verification (Glossary)

Artificial intelligence Industry and Factory 4.0 Automation Digital transformation AI Glossary

Probabilistic safety verification is particularly relevant in the fields of artificial intelligence, automation and Industry 4.0. This term describes a method used to calculate and evaluate the safety of systems - not in the traditional way, but with the help of probabilities.

Instead of just checking whether a system is safe in every case, probabilistic safety verification looks at how likely it is that an unsafe situation will occur. To this end, many possible events and their probabilities are analysed. This makes it easier to estimate the real risk in an automated system.

An example from industry: In a fully automated factory, robots should work safely with humans. Probabilistic safety verification helps to estimate how high the probability is that a robot arm will accidentally touch or injure a person - despite all the protective mechanisms.

By using this method, companies can make informed decisions about necessary safety measures and design their systems in such a way that accidents and failures are minimised.

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Probabilistic safety verification explained: Find out now how to minimise risks in AI & Industry 4.0 with probabilities!

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Sanjay Sauldie

Sanjay Sauldie is a digital strategist, speaker and developer of the transruption toolkit, which companies can use to make their digital transformation measurable, human and sustainable. With kiROI - the AI-based approach to value creation in the digital age - he helps self-employed people and companies to integrate artificial intelligence into their processes in a practical way. With his outstanding marketing strategy iROI, he has already led countless companies to greater visibility and thus more profits. He combines digital innovation with disruptive thinking models for a sustainable business strategy. He studied mathematics and computer science at the University of Cologne, completed a Master of Science in Digital Disruption at the University of Salford (UK) and a Design Thinking programme at MIT/EMERITUS Singapore. As a multiple award-winning expert - including the Golden Web Award and the Innovation Award of the Initiative Mittelstand - he advises SMEs and corporations. His motto: "Digitalisation is not an end in itself - it must serve people."

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