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Swiss Cheese or Swiss Safe? How data protection is key to prevent your AI from having holes.

Data protection is a crucial aspect of AI development, especially as AI systems increasingly rely on vast amounts of data to function effectively.

Revised FADP Ordinance

In Switzerland, the nFADP as well as the new Data Protection Ordinance (DPO) and the new Ordinance on Data Protection Certification (DPCO) will enter into force on 1 September 2023.

The new regulation nFADP introduces a number of new obligations for companies processing personal data, including the obligation to perform data protection impact assessments (DPIAs) for high-risk processing activities, the obligation to maintain documentation of processing activities, and the obligation to notify data subjects in the event of a data breach.

With the upcoming EU AI Act and the lack of specific regulations governing AI in Switzerland, it's critical to ensure data protection for successful AI development.


To help you navigate this complex landscape, we've identified 6 critical questions to ask yourself about data protection in Switzerland:

📌 What is the governance structure in place?

📌 Do we have special protection for genetic or biometric data?

📌 What personal data do we process and for what purposes?

📌 Which information do we provide for the data subjects?

📌 Do we have an inventory of processing activities? What are the data flows?

📌 What are the processes to perform data protection impact assessment? How do we notify data security breaches?

Answering these questions will help you identify gaps and risks in your data protection processes and ensure compliance with the revised data protection act in Switzerland.


Remember, data protection is a vital component of future development of AI. Those who want to build solid foundations for their digital transformation leveraging AI ML technologies must act now and get an overview of the current situation.

If you need help, you can contact us:

Christine Laut


Photo by Fly.D on unsplash

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