Diamondeye wrote:
And I don't see a need for a warrant as long as there is a reasonable suspicion that can be articulated in court, the same as the reasonable suspicion the courts require to justify other investigative actions. If we took the sum total of all the things people here think you should need a warrant for it would be impossible to obtain a warrant.
Reasonable suspicion that can be articulated in court is all I'm asking for. If they have that, obtaining a warrant shouldn't be an issue. Furthermore, A) no is asking for approval in the court of public opinion -- just in a court of law. What "people here" think isn't relevant. B) It's not as though obtaining a warrant before deploying this technology is some insurmountable obstacle that brings law enforcement to a grinding halt anymore than requiring a warrant before a wiretap. Hell, this technology wasn't even available until recently, so you're going to have a hard time convincing me that law enforcement
needs this technology so badly (and immediately!) that waiting for warrant is some terrible imposition.
Diamondeye wrote:
I don't see any good reason why the police should not be permitted to do it just because a private citizen can't. Private citizens also cannot issue traffic tickets and may or may not be able to make arrests.
Technically, as long as you don't impersonate a police officer or pretend to be an agent of the municipality in question, it wouldn't be illegal to issue someone a traffic ticket as a private citizen -- it would just be silly and unenforceable. With respect to arrests, I don't think the difference is a huge as you think it is. For municipal violations, private citizens probably can't legally pull someone over, because it's a municipal matter, not a criminal one, and they aren't an agent authorized by the municipality to enforce their traffic codes. But then, they can't enforce traffic rules for 3rd-party private entities, either. They can, however, attempt to enforce their own private traffic/parking rules on their own private property. This is exactly what private campus security does in many places, for instance. Also, while a private citizen may not be able to pull someone over for running a red light, they could certainly file a civil lawsuit akin to a municipal charge against the perpetrator. People generally don't, but they
could.
As for criminal violations, I think the difference is even smaller. In most cases, someone witnessing criminal activity can certainly detain someone until the proper authorities arrive, especially for violent crime. Non-violent crime may be a little iffy. Vandalism? Probably. Embezzlement? Unlikely.
But in any case, where arrest and citation powers are concerned, these have been granted for the simple reason that we all understand it would be impossible to enforce the law without them, and that requiring a warrant before these actions would utterly cripple law enforcement. Not so with the GPS transponders, as I explained above. They're nice to have, but hardly an essential component for law enforcement.
Secondly, and more importantly, wrongful arrest is criminal. If a police officer uses their arrest powers in an unethical or unjustified way, they can be held criminally liable for it. One of the problems with this ruling vis-a-vis the GPS transponders is that it places no restrictions on their use and leaves private citizens with no recourse if their use is abused. By declaring that their use is no different than conventional observation, the police essentially don't have to answer for their use any more than they have to answer for why they deploy patrol units to one location vs. another. This is a problem.
Diamondeye wrote:
(and no, they cannot be made into a constant stream of revenue)
I guess I was too obtuse in my previous post. The derivative of position vs. time is
velocity. I'm alluding to the potential for tagging random vehicles for an automated speed citation system. This would absolutely be a cash cow. Why do you think that police departments have become so enamored with automated red-light cameras, automated speed traps, and automated toll enforcment cameras in recent years? They're a great source of revenue, while at the same time being safer than the alternative of using personnel to make traffic stops. And then, of course, there are things like catching people making illegal U-turns. That's very easy to do; even common consumer navigation devices these days know where median cuts occur, and the more sophisticated ones know speed limits, turn restrictions, and so forth. In many locations, you could even tie in to the municipal traffic control SCADA system to catch people turning right on red where it's prohibited, etc. The potential is there to realize virtually perfect traffic enforcement in most areas, save those for which present GPS is too imprecise to detect.
But given the pace of technology and and an economy of scale, it's not unrealistic to predict that, in the very near future, it would be economical to deploy these to everyone as a requirement for operating a motor vehicle, and for the transponders to have at least 1-meter resolution. That's sufficient to automatically detect all sorts of behavior like reckless driving (weaving in-and-out traffic, following too closely, etc.), illegally driving on the shoulder, etc. Not to mention being able to highlight erratic driving strongly suggestive of DWI, and being able to dispatch an officer to the scene immediately and automatically.
Diamondeye wrote:
I realize that perfectly well. It is not the processing of data that would be the problem, but rather the bandwidth involved in receiving constant reports from these, the cost of deploying them [...] and most importantly, somehow extracting suspicion from mere location data. As it is they have enough problems trying to nail cops with GPS data for screwing off on shift.
In general, I don't think you're really grasping the full potential of this sort of data mining, and you're overestimating the technological hurdles. Systems like this are already being used both publicly and privately in various capacities. And interest is picking up among police departments to use data-mining systems for their predictive value (again, see LAPD
in this thread). All that's really needed is for someone to put all the pieces together into one package.
You're not looking at the bigger picture. You're only considering the narrow possibility of using position data by itself for direct arrest purposes. There are much richer and more useful purposes. First of all, let's make the simple observation that we're talking about more than just random positional blips devoid of any context. Even if the transmitters are deployed "at random", we have to assume that the police are smart to enough to write down the plates and VIN of the vehicles they attach them to, so as to know
who they're monitoring.
Now think bigger than just random deployment. Start tagging the vehicles of known or suspected gang members. Use the data to start mapping out gang turfs in a GIS system, and use that to configure optimal patrol deployment. Analyze the data for patterns of congregation that suggest gang hideouts. Use it to determine when one gang is making incursions into another's territory to predict likely armed conflicts.
Tag drug dealers and use the data to model where specific types of drugs are going. Use the patterns to identify likely buyers and suppliers, and use this to work your way up the food chain. Use it to find out, in real-time, when known dealers are hanging out around schools, parks, etc.
The system gets even more powerful when you tie it in to property data from the local appraisal district, existing criminal records, and so forth. There's all sorts of potential uses that you're not even considering. You could see when a known armed robber (repeat offender) has been meeting frequently with known accomplices and driving around casing jewelry stores or high value homes (whatever his predilections may be, based on criminal record). It's not as good as having every citizen wearing an ankle bracelet, sure, but it still adds a wealth of data to feed automated analysis and predictive systems. This is precisely the use that you heralded as being a good idea in the thread I linked earlier; you just aren't taking the idea far enough.
Finally, there's no reason why this kind of system has to "overload" the police department with constant reports. Data that can be automatically analyzed can also be automatically filtered. My server here at work generates thousands of messages in its system log every error, but even though some of these message are indicative of warnings, or even errors, it rarely actually notifies me by sending email to the root account, or whatever. It has a sense of priorities, and can be tweaked to inform me only in those instances when I really
want to be alerted. There's no reason that you couldn't do the same with real-time GIS analysis.
The situation is not that different from, say, spam analysis. Heuristic algorithms can be tweaked and adjusted with somewhat arbitrary granularity until you get exactly the sensitivity you want out of the system. Or, if you want to get really sophisticated, hook the parameters up to some kind of neural net feedback system and use a real human to train it until it learns what does and doesn't resemble a good report. Such systems have already been deployed to analyze arbitrary data like EKG readouts and identify how likely it is that the pattern represents a particular type of heart condition. The freaky part is that after adequate training, the neural nets were
better at predicting the condition than expert cardiologists. Again, I don't think you realize what's really possible in the here-in-now, and more than just possible -- affordable. You would be surprised at just how much processing power is available with relatively inexpensive "off-the-shelf" hardware.