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15 May 2025

Quality assurance for AI models (Glossary)

Artificial intelligence Automation Big data and smart data Digital transformation AI Glossary

The term "quality assurance for AI models" originates from the fields of artificial intelligence, automation, big data and smart data. The aim is to ensure that artificial intelligence (AI) works reliably, correctly and fairly. AI models make decisions or recognise patterns, for example in facial recognition in smartphones or automatic text translations on the internet.

Quality assurance means here: Experts regularly check whether the AI delivers the desired results and does not make any errors. They also check that the AI does not produce any biased (i.e. unfair) results. This is particularly important when AI is used in large companies, banks or in medicine.

An illustrative example: a bank uses an AI model to assess creditworthiness. To ensure that no one is disadvantaged, experts must constantly check whether the AI is assessing everyone fairly. Only if quality assurance is carried out regularly will the AI work reliably. This results in secure and trustworthy applications in which users can rely on fair decisions.

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Quality assurance for AI models: Find out how fair, secure and reliable AI applications are created! Find out more now.

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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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