Machine Learning/AI adds an entirely new perspective on big data. It can see patterns in data that would be meaningless without it, correlations that can't be found in other ways. Some data is OK for a government to have if they can just look it up in exceptional cases, but not if they act on every single bit of data collected.
In essence, using ML is creating new data (or at least: Information from the raw data). This information can be very revealing and not at all in line with the scope the data was initially collected under, which is one of the principles of GDPR.
You can't really view data as static once it's collected. Combining with other existing data and new methods of data analysis make it a totally different picture in terms of privacy.
Machine Learning/AI adds an entirely new perspective on big data. It can see patterns in data that would be meaningless without it, correlations that can't be found in other ways. Some data is OK for a government to have if they can just look it up in exceptional cases, but not if they act on every single bit of data collected.
In essence, using ML is creating new data (or at least: Information from the raw data). This information can be very revealing and not at all in line with the scope the data was initially collected under, which is one of the principles of GDPR.
You can't really view data as static once it's collected. Combining with other existing data and new methods of data analysis make it a totally different picture in terms of privacy.