When every device becomes intelligent, privacy can no longer be an option, but must be an architectural principle. It is time to redefine the concept of data protection in the era of artificial intelligence.
Privacy today: too often a legal footnote
In the current digital ecosystem, privacy is treated as a constraint to be respected, not as a value to be protected.
The user accepts lengthy policies, the data is collected “to improve the service,” and transparency is, at best, partial.
With intelligenza artificiale, this logic is no longer sustainable.
Why?
Why today the AI:
They collect vocal, biometric, behavioral data
They operate in the background, without explicit interaction
They are integrated into every device: phones, wearable, assistants, cars
Every second of our life can become a data point. And every data point, a lever of control.
Privacy by Design: a cultural revolution before a technological one
The concept of Privacy by Design was created to ensure that data protection is embedded from the design phase of a system.
It is not an optional. It is a structural condition.
But in AI, this setting is often ignored:
The models are trained on data collected without explicit consent
Centralized APIs track every user request
The vocal logs are saved for “quality analysis”
A paradigm shift is needed: privacy must become the infrastructural standard of AI.
The example of QVAC: artificial intelligence that does not spy
During the AI Week, the QVAC project demonstrated that it is possible to create AI capable of respecting privacy without compromise.
How?
All data remain on the device
No request is sent to a server
The processes are local, encrypted, modular
It is an AI that works even without an internet connection, and this is why it is natively compliant with every GDPR principle.
But the true value lies in the concept: privacy is not a limitation. It is a design feature.
Why a global standard is needed
Today we have the GDPR in Europe, the CCPA in California, other laws in Brazil, Japan, India. But AI technology knows no borders.
Needed:
An international open source standard
A certificazione Privacy by Design per AI
A distributed governance that overcomes the monopoly of Big Tech
The example of open source software shows that it is possible to create auditabili, trasparenti, modificabili, pubblicamente verificabili tools.
It is time to do the same with artificial intelligence.
Conclusion: if we do not protect the data, AI will use them against us
In a world where every interaction is analyzed by intelligent agents, privacy is no longer an individual matter, but a collective one.
Projects like QVAC show us that an AI respectful of the person is technically possible.
Now it is up to users, developers, and institutions to demand it as the only viable path.
Privacy cannot be requested after the fact. It must be written in the code.
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Privacy by Design in the era of AI: why a new global standard for data protection is needed
When every device becomes intelligent, privacy can no longer be an option, but must be an architectural principle. It is time to redefine the concept of data protection in the era of artificial intelligence.
Privacy today: too often a legal footnote
In the current digital ecosystem, privacy is treated as a constraint to be respected, not as a value to be protected.
The user accepts lengthy policies, the data is collected “to improve the service,” and transparency is, at best, partial.
With intelligenza artificiale, this logic is no longer sustainable.
Why?
Why today the AI:
They collect vocal, biometric, behavioral data
They operate in the background, without explicit interaction
They are integrated into every device: phones, wearable, assistants, cars
Every second of our life can become a data point. And every data point, a lever of control.
Privacy by Design: a cultural revolution before a technological one
The concept of Privacy by Design was created to ensure that data protection is embedded from the design phase of a system.
It is not an optional. It is a structural condition.
But in AI, this setting is often ignored:
The models are trained on data collected without explicit consent
Centralized APIs track every user request
The vocal logs are saved for “quality analysis”
A paradigm shift is needed: privacy must become the infrastructural standard of AI.
The example of QVAC: artificial intelligence that does not spy
During the AI Week, the QVAC project demonstrated that it is possible to create AI capable of respecting privacy without compromise.
How?
All data remain on the device
No request is sent to a server
The processes are local, encrypted, modular
It is an AI that works even without an internet connection, and this is why it is natively compliant with every GDPR principle.
But the true value lies in the concept: privacy is not a limitation. It is a design feature.
Why a global standard is needed
Today we have the GDPR in Europe, the CCPA in California, other laws in Brazil, Japan, India. But AI technology knows no borders.
Needed:
An international open source standard
A certificazione Privacy by Design per AI
A distributed governance that overcomes the monopoly of Big Tech
The example of open source software shows that it is possible to create auditabili, trasparenti, modificabili, pubblicamente verificabili tools.
It is time to do the same with artificial intelligence.
Conclusion: if we do not protect the data, AI will use them against us
In a world where every interaction is analyzed by intelligent agents, privacy is no longer an individual matter, but a collective one.
Projects like QVAC show us that an AI respectful of the person is technically possible.
Now it is up to users, developers, and institutions to demand it as the only viable path.
Privacy cannot be requested after the fact. It must be written in the code.