An effort has been made to ensure that this Module keeps pace with technological change, whilst acknowledging the need to understand trends in technology that can provide facilities for organized crime. As a lecturer, you can enhance the learning of your students by having them research and brainstorm emerging trends, some of which may be represented, in a general sense, in the chart below:
|
Machine learning |
Artificial Intelligence (AI) and machine learning can be used to identify potential targets, change human behaviour and predict financial outcomes, potentially operating autonomously and avoiding direct criminal responsibility. |
|
Digital applications |
The workplace environment for exploited persons can be directed by virtual personal assistant software. It can also be used to enhance exploitative activity and business efficiency and improve security tools, mirroring legitimate business activity and hindering identification of criminal activity. |
|
Technological tools, sensors and digital twins
|
Tools such as robotics, drones and autonomous vehicles can improve surveillance of workers and delivery of services as well as enhance security to hinder law enforcement. The potential for AI-enabled systems is enormous to include collaborative behaviour between tools in order to accomplish tasks. |
|
Distributed ledgers and mesh systems |
Distributed ledger concepts and complex communicative digital structures such as blockchain and mesh can transform operating models, however, with consequent concerns over transparency. |
|
Digital architecture |
As platforms and security structures become increasingly sophisticated, digital architecture may provide business efficiency for organized crime, making it indistinguishable from legitimate business. |
|
Digital ecosystems, virtual and augmented reality |
Online exploitative environments may create new opportunities for organized criminals. |
Next:
Exercises
Back to top
