Predicting Future Crime
Published July 09, 2009 @ 06:18AM PT

The Philadelphia Police Department is experimenting with an advanced computing system that statisticians and criminologists believe can predict future violent crime with some accuracy. Using a learning computer, the city is working to predict which of the city's 49,000 parolees are most likely to commit violent crimes in the future. While this system raises some serious red flags, it also has potential to improve the efficiency and fairness of our parole system if it is used with restraint.
On one hand, people are not their rap sheets and they deserve individual attention after release from prison. They change and grow and learn and that's why we have thousands of parole officers in this country - to meet with parolees and gauge their progress and potential for successful reintegration. On the other hand, this isn't always the case in practice. Parolees are sometimes treated as numbers. A failed drug test or a driving violation could stop a non-violent parolee's progress in its tracks and send them back. Perhaps we should focus this limited attention on those more likely to commit future crime?
We have a human system and it can be susceptible to the predjudices and mistakes of all of us. Adding an objective computer prediction to the mix - as long as it is kept confidential and not given undue weight - could add fairness to the parole system. The experimental results from Philly seem promising:
To "train" the system, (University of California statistician Richard) Berk fed in data on 30,000 past cases; about 1 percent had committed homicide or attempted homicide within two years of beginning probation or parole.
The data included the number and types of past crimes, sex, race, income, and other factors.
To test its power, he fed in a different set of data on 30,000 other parolees. This time he didn't tell the computer who would go on to kill.
Applying what it had previously learned, the system identified a group of several hundred who were considered especially dangerous. Of those, 45 in 100 did commit a homicide or attempted homicide within two years - much higher than the 1 in 100 among the general population of probationers and parolees.
The predictors that mattered most were age, age at first contact with adult courts, prior crimes involving guns, being male, and past violent crimes.
But there are major concerns about the new system: it could lead us to spend too much energy on "high-risk" parolees and ignore the needs of "low-risk" people, denying them opportunities for support and services. And would an increased reliance on this system mean more minor technical violations for parolees considered high-risk?
"The main ethical concern," said Richard Bonnie, a law professor at the University of Virginia, "is the possible unfairness to the 'selected' offenders."
If the high-risk people do get more supervision, it means they face a greater risk of being caught in a technical violation that will send them back to prison. Should such power be relegated to a computer?
While this is a worry, the system currently sends thousands parolees back to prison for violations, and the chance of being caught seems fairly arbitrary. Perhaps it does make more sense to focus on the violations of parolees with violent histories. Another red flag: officials considered including race in the equation - an extremely scary thought - but decided against it. I wonder if there are other questionable factors included in the computer's calculations.
I worry that the use of this system would be abused and take on weight greater than individual, human assesments. But is there a place for it in our system? Would it make the system more fair and more targeted? The jury's out.
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This time we are in Kansas, Toto. The next in the increasing rash of payday loan store robbery cases, occurred in Wichita, Kansas, but this time it was not successful. An employee saw the two would be crooks approaching the store armed, and surmising that they were not spokespeople for the NRA, locked the door and called the police. When the fiends discovered they were not going to succeed in their aims, they fled. The rash of robberies of payday lenders hasn't begun subsiding, as they have become more popular targets than traditional robberies, like liquor stores and banks, but there's at least one store in Kansas they won't be getting for awhile.
Posted by G Y on 07/11/2009 @ 04:19AM PT
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There should also be a concern about who, what organization would provide the foundation for the computer determinations. Statistics can be twisted to provide expected results for targeted demographics, so if an organization with a Puritan bias were to format such a project then the results may not be fair.
I use a primitive example that the Virginia courts used against my girlfriend. She had been seeing State mental health and marriage counselors for years prior to separation. Her husband's Christian Brotherhood attorney had the courts order her to see a Christian counselor. Of course the courts ruled against her, the bias demonstrated by the courts dismissed years of spousal abuse, rape and child abuse - on paper the judgement looked good. We suspect that her retained attorney colluded with the Brotherhood attorney - someone told us that he was running for political office. As the Virginia State Bar says, a "strategy".
Now they have machines and these people are insidious in their infection, obtaining the "blessings" of law makers and enforcers. Who is going to be providing this "prediction" service?
Posted by jowey styxx on 07/12/2009 @ 09:56AM PT
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