Yes, people want to have a say in what is done with their data, whether it is public or not. The urge increases the less overlap is between people's goals and t

Yes, people want to have a say in what is done with their data, whether it is public or not. The urge increases the less overlap is between people's goals and the use of their data. If you use public data against the will of the majority, pressure increases. I think this can be framed under the following: While it is possible to do many things with data, some things just shouldn't be done. There's a middle ground in the continuum where things are ambiguous. Neural nets can do many things, which is why many feel that they should not be allowed to be trained on any public data. I think I disagree. We should focus on the use cases, not the training step.