An Investigator’s Christmas Carol: Past, Present, and Future Law Enforcement Agency Data Mining Practices

Sherer, James A.; Sterling, Nichole L.; Burger, Laszlo; Banaschik, Meribeth; Taal, Amie

doi:10.1007/978-3-319-97181-0_12

Cited by 3 publications

(1 citation statement)

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“…However, Al Qaida’s attacks on the United States in 2001, truly stimulated, and perhaps even more importantly, legitimated, the acceleration and expansion of surveillance trends (Ball and Webster 2003 ). From Edward Snowden’s revelations we first learned of the extent that domestic surveillance by the U.S. National Security Agency had grown into (Sherer et al 2018 ).…”

Section: The Growth Of Surveillancementioning

confidence: 99%

Surveillance and the Impossible Search for Ideal Behaviour

Spapens

2021

Crime Prevention and Justice in 2030

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Information and communication technology and the internet created unprecedented opportunities for collecting “big data” and apply it to surveillance and influence the behaviour of citizens, for instance in their roles of voters, customers, partners and workers. There is a growing risk that data on these different roles is exchanged and combined for which it was not collected. Surveillance may be defended from the perspective of law and order, protection of safety and health, and economic development, but it may also impact negatively on several United Nations (UN) Sustainable Development Goals (SDGs) to be attained by 2030. Being one of the crucial issues in the world today, it comes as no surprise that the topic is being studied by lawyers, urbanists, sociologists, computer scientists, political scientists and others. However, criminologists have until now mainly looked at surveillance in the context of preventing and detecting crime and terrorism from a “what happens and what works” angle. This chapter will apply a broad perspective by taking the social construction of deviance as a starting point and addressing the consequences of the definition for those who do not live up to the ideal, in terms of criminalisation, social exclusion and other potential effects, keeping in mind the context of the UN’s development goals.

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Section: The Growth Of Surveillancementioning

confidence: 99%

Surveillance and the Impossible Search for Ideal Behaviour

Spapens

2021

Crime Prevention and Justice in 2030

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Machine Learning and the Legal Framework for the Use of Passenger Name Record Data

Kostov

2021

Communications in Computer and Information Science

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Harnessing the Power of Artificial Intelligence in Law Enforcement

Bag,

Roy,

Pandey

2024

Advances in Computational Intelligence and Robotics

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Law enforcement is joining the fast-growing artificial intelligence (AI) research field. The chapter tries to fix that. This chapter utilized a “systematic literature review.” The authors gathered research papers on using algorithms and AI in police work. This was done with Scopus, a fancy academic database. They searched for papers on “law enforcement,” “policing,” “crime prevention,” “crime reduction,” and “surveillance.” Combine these terms with “algorithm” or “artificial intelligence.” They found that AI has great potential to aid law enforcement. It can recognize faces, forecast crimes, and track people. These AI tools usually analyze photos, behavior, language, or a combination. However, there are significant “but” ethical issues that exist. AI can cause unjust treatment, confusion about responsibility, oversurveillance, and privacy invasion. AI's benefits and cool abilities are often highlighted over its drawbacks. Another observation is that writings on the same topics agree on what AI can achieve, its potential, and what we should explore next.

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An Investigator’s Christmas Carol: Past, Present, and Future Law Enforcement Agency Data Mining Practices

Cited by 3 publications

References 0 publications

Surveillance and the Impossible Search for Ideal Behaviour

Surveillance and the Impossible Search for Ideal Behaviour

Machine Learning and the Legal Framework for the Use of Passenger Name Record Data

Harnessing the Power of Artificial Intelligence in Law Enforcement

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