Role of Algorithm
in predicting the crimes in real world
History:
The police department of Memphis, Tennessee, made so many
arrests over a three-hour period that it ran out of vehicles to transport the
detainees to jail. Three days later, many people had been arrested across the
city – a new police department record. Operation Blue Crush was hailed a huge
success.
Larry Godwin, the city's new police director, quickly rolled out the scheme
and crime across the city had fallen. When it was revealed Blue Crush
faced budget cuts earlier this year, there was public outcry. "Crush"
policing is now perceived to be so successful that it has reportedly been
mimicked across the globe, including in countries such as Poland and Israel.Iit
was reported that two police forces in the UK were using it, but their
identities were not revealed.
Algorithm in real world:
Algorithm Name: Criminal Reduction Utilizing Statistical History.
Developer of Algorithm: Norah Jones
A team of criminologists and data scientists at the
University of Memphis first developed the technique using IBM
predictive analytic. Put simply, they compiled crime statistics from
across the city over time and overlaid it with other data-sets – social housing
maps, outside environment etc – then instructed algorithms to search for
correlations in the data to identify crime "hot spots". The police
then flooded those areas with highly targeted patrols.
"It's putting the right people in the right places on the right day at
the right time," using the “Pre-crime” police report.
The
Algorithm uses the data-sets for identifying the criminals, data-sets will be
collected by NSA to use in the algorithms and will be operated by NSA team. If
you're, say, looking for terrorists, you're looking for something very rare.
Set your rules too tight and you'll miss lots of, probably most, potential terror
suspects. But set them more broadly and you'll drag lots of entirely blameless
people into your dragnet, who will then face further intrusion or even formal
investigation by NSA or GCHQ team, In addition to the enhancement of algorithm
Pharmacists are already seeing some of their prescribing tasks replaced by
algorithms using bio metric details (algorithms will still need a human to
collect blood and urine samples for them to analyze)
Examples in the real world:
Bank approvals, store cards, job matches and more all run on similar
principles.
Advantages:
- The use of algorithms in policing is one example of
their increasing influence on our lives.
- Identifying the frauds in banking systems
Disadvantages:
- It may screw up someone's life with a false prediction
about what they might be up to.
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