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6 April 2025

Differentiated privacy in AI (Glossary)

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

Differentiated privacy in AI is particularly at home in the areas of artificial intelligence, big data and smart data as well as cybercrime and cybersecurity.

The term describes how users' personal data can be specifically protected when working with artificial intelligence (AI). Instead of treating all data equally strictly, differentiated privacy takes a closer look: Which information is particularly sensitive and which may be used for other purposes? The aim is to adapt privacy protection flexibly and individually to the respective user and usage scenario.

One example: a health service uses AI to create personalised fitness plans. Data such as the number of steps or sleep times could be analysed anonymously, while particularly sensitive medical diagnoses remain strictly confidential and are not used for advertising purposes. This creates a balance between the useful utilisation of data and the protection of personal privacy.

Differentiated privacy in AI is therefore an important approach to creating trust, complying with legal requirements and safely utilising the benefits of intelligent systems.

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Discover how Differentiated Privacy in AI protects your data. Find out more now and secure your data privacy individually!

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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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