AI enables computers to make intelligent decisions in order to perform diverse tasks while operating to learn by collecting, processing, and linking huge amounts of data, of which a large part might be personal data. Also called machine learning, this principle simply means that the more data that is available to be consumed, the better and more credible the AI is. On the other hand, this massive collection of data on which the AI relies on, is problematic from a privacy perspective. That is why the EU has put these activities under a data protection microscope with the GDPR. Questions rise:
– How data is protected and processed?
– Is access given to this information to any party?
– How to organize human intervention?
– What about the data rights of the subject?
– How to withdraw consent?
– How to implement the requirements of the GDPR into AI?
Read more about this topic at: https://brusselstalking.blog/2019/03/07/ai-vs-gdpr-finding-the-balance-between-ethics-and-innovation/