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Can you point out some examples of machine learning usages where: (a) they are clearly beneficial for the users; (b) it wasn't forbidden before; and (c) it is v
by kilburn 8y ago
Can you point out some examples of machine learning usages where: (a) they are clearly beneficial for the users; (b) it wasn't forbidden before; and (c) it is very hard to get user's consent for them.
I'm going to point out some counter-examples:
- One of the first machine learning stories around was movie recommendation. Under GDPR, when you click the "Recommended for me" link in your typical movie recommender, they now have to show you a page that says something on the lines of:
> UberRecommender needs to automatically process your previous ratings/view history/whatever data to make you good recommendations. We will find users with similar taste to yours, recommend movies they have liked to you and vice-versa. Click on "I agree" to continue, or "I don't agree" to disable this functionality for your account (you may change this preference later on in your settings page).
It doesn't seem too difficult to get people to click that "I agree" button, does it?
- Machine learning applied to medical diagnosis/early detection/etc. This usage was already heavily regulated (at least in the EU). So much that I'm pretty sure the GDPR does not change anything in that space.