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1. Anonymize the data in the machine learning training corpora. 2. That's it. Problem solved. Question for extra credits: These machine learning models you s

1. Anonymize the data in the machine learning training corpora. 2. That's it. Problem solved. Question for extra credits: These machine learning models you speak of, do they mostly do stuff that... a) is in the interest of the users b) goes against the interest of the users Society does not have an obligation to tolerate negative externalities just to protect someone's business model. That is precisely what regulation is for.

smallgovt 8y ago
Unfortunately, anonymizing the data is not what's being demanded. People want to completely delete their data, which presents a harder problem from a modelling perspective. Also, worth noting that FB has 2 primary users: you and advertisers. The second class of users is very interested in having your data. Unfortunately, FB seems to favor them bc they are the user who's paying them.
- TelmoMenezes 8y ago
  > Unfortunately, anonymizing the data is not what's being demanded. People want to completely delete their data, which presents a harder problem from a modelling perspective. 99.9% of the people are not even aware of the distinction. This is an attempt to follow the letter of the law to create an excuse not to follow the spirit of the law. What people want is personal privacy and cognitive freedom. They don't care about implementation details. > Also, worth noting that FB has 2 primary users: you and advertisers. The second class of users is very interested in having your data. Unfortunately, FB seems to favor them bc they are the user who's paying them. You are right. Sorry for the typo. I did not mean "users", I meant the "used". Supermarkets have two types of users: customers and other businesses that use supermarkets to distribute their products. It would be in the interest of those other businesses if, for example, food safety standards were more lax. But not in the interest of the customers. The food industry has a lot more money and power than the customers, so we solve this with regulation. It's kind of Civilization 101, really.
JohnFen 8y ago
> Anonymize the data In our world of Big Data, where it's easy to combine many disparate databases, effectively anonymizing data is also a very hard problem to solve.

smallgovt 8y ago

Unfortunately, anonymizing the data is not what's being demanded. People want to completely delete their data, which presents a harder problem from a modelling perspective. Also, worth noting that FB has 2 primary users: you and advertisers. The second class of users is very interested in having your data. Unfortunately, FB seems to favor them bc they are the user who's paying them.

TelmoMenezes 8y ago
> Unfortunately, anonymizing the data is not what's being demanded. People want to completely delete their data, which presents a harder problem from a modelling perspective. 99.9% of the people are not even aware of the distinction. This is an attempt to follow the letter of the law to create an excuse not to follow the spirit of the law. What people want is personal privacy and cognitive freedom. They don't care about implementation details. > Also, worth noting that FB has 2 primary users: you and advertisers. The second class of users is very interested in having your data. Unfortunately, FB seems to favor them bc they are the user who's paying them. You are right. Sorry for the typo. I did not mean "users", I meant the "used". Supermarkets have two types of users: customers and other businesses that use supermarkets to distribute their products. It would be in the interest of those other businesses if, for example, food safety standards were more lax. But not in the interest of the customers. The food industry has a lot more money and power than the customers, so we solve this with regulation. It's kind of Civilization 101, really.

JohnFen 8y ago

> Anonymize the data In our world of Big Data, where it's easy to combine many disparate databases, effectively anonymizing data is also a very hard problem to solve.