Policing in the Era of AI and Smart Societies

Chapter "Predictive Policing in 2025: A Scenario" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Format: Paperback / softback
Length: 282 pages
Publication date: 18 July 2021
Publisher: Springer Nature Switzerland AG

The chapter "Predictive Policing in 2025: A Scenario" is freely accessible and available for download under a Creative Commons Attribution 4.0 International License through the following link: link.springer.com.

The future of law enforcement is set to undergo a significant transformation with the advent of predictive policing in 2025. This cutting-edge technology utilizes advanced analytics and machine learning algorithms to analyze vast amounts of data, including social media posts, surveillance footage, and crime statistics, in order to predict and prevent potential crimes before they occur.

One of the key advantages of predictive policing is its ability to target specific areas and populations that are most at risk of crime. By analyzing data on past criminal activity, demographics, and social trends, law enforcement agencies can identify patterns and hotspots that are likely to lead to future criminal activity. This allows them to allocate resources more effectively and focus their efforts on the areas that need it the most.

Another benefit of predictive policing is its ability to improve the efficiency of law enforcement operations. By identifying potential crimes before they occur, law enforcement agencies can preemptively respond to incidents and prevent them from escalating. This can lead to a reduction in crime rates, injuries, and property damage, as well as save law enforcement agencies time and resources.

However, there are also concerns about the ethical implications of predictive policing. Some argue that the use of big data and advanced analytics can lead to the perpetuation of biases and discrimination, as these technologies may be more likely to target certain groups of people based on their race, ethnicity, or socioeconomic status. Additionally, there are concerns about the privacy and security of personal data, as law enforcement agencies may collect and store large amounts of information that could be used to track and monitor individuals.

To address these concerns, it is important for law enforcement agencies to implement robust policies and procedures to ensure that predictive policing is used in a fair and equitable manner. This includes ensuring that data is collected and analyzed in a transparent and accountable manner, that individuals are aware of how their data is being used, and that there are mechanisms in place to prevent the misuse of personal information.

In conclusion, predictive policing has the potential to revolutionize the future of law enforcement by providing a more effective and efficient way to prevent and respond to crime. However, it is important to ensure that this technology is used in a responsible and ethical manner to minimize the risk of perpetuating biases and discrimination and to protect the privacy and security of individuals.

Weight: 450g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030506155
Edition number: 1st ed. 2020