For instance, Glenn Reynolds recently wrote in Popular Mechanics:
...government officials and big corporations often want to watch us, but they don't want to be watched in return. Shopping malls are full of security cameras, but many have signs at the entrance telling customers that no photography or video recording is allowed. Police cars have dashboard cameras... But try shooting photos or video of police or other public officials as they go about their business and you might find yourself in wrist restraints. ... Under the law, citizens have no right not to be photographed in public places. So why should people who make their living on the taxpayers' dime enjoy greater freedom from public scrutiny than the taxpayers themselves?An article with a similar tone also appeared in Computer World, which gave a link to a compelling example of how a citizen's records of police actions were evidence of police wrongdoing (NYT headline: "Recorded on a Suspect’s Hidden MP3 Player, a Bronx Detective Faces 12 Perjury Charges"). The author's summary of the situation:
...surveillance in general ... upsets the balance of power. Whoever has the tape has the power to use, not use, selectively use or misuse the information or proof or evidence recorded.This an interesting line of argument. There's something that seems fundamentally wrong about living in a society where surveillance is "endemic", but maybe the most jarring thing is not the loss of privacy, but the loss of power and control.
With that in mind, there's a very interesting move afoot to set up an open standard to describe user "attention" data - which I gather includes browsing history, mostly, but could also certainly include any other information about what a user is interested in...Netflix reviews, Amazon purchases, search queries, you name it. The hope is to break this data away from the many different sites (each if which controls a piece of it) and put it in the hands of users, who can then go and get purchase recommendations (or what have you) from whoever does the best job.
Not an entirely new idea, but a fascinating one none the less. Moore's law, along with progress in collaborative filtering/machine learning techniques, means that the barrier to being able to save this sort of data and do something interesting with it is just going to keep dropping, so one can certainly imagine a more horizontal market for recommendations opening up over the next few years. I don't see any particularly horrible technical roadblocks, but I do see a lot of interesting technical problems (e.g. reference resolution over this data!) and of course there might be pushback from the people that control the data now.
Update: There's some discussion of this from Fernando.