Artificial intelligence plays a significant role in crime reduction but faces high levels of implementation challenges, according to a study of 170 AI professionals in Jordan and Saudi Arabia.
The research, conducted by the University of Jordan, surveyed professionals equally divided between the two countries, with an average age of 45.2 years. The findings indicated that AI plays a significant role in crime reduction, while high levels of challenges were reported in implementing the technology.
The study found no statistically significant differences in the level of challenges facing AI between Jordanian and Saudi participants. Coping strategies related to AI in crime reduction were assessed at a high level.
AI technologies have greatly enhanced investigators’ ability to track crimes quickly and accurately. The technologies are used to gather evidence, draw conclusions about crimes and their perpetrators, and help unravel the complexities behind criminal activities. Notable tools include facial recognition systems, audio recording apps, remote listening devices, and suspect identification methods.
The Hashemite Kingdom of Jordan established the Cybercrime Unit under the Public Security Directorate in 2015 to address challenges posed by rapid development of information and communications technology. The Jordanian Artificial Intelligence Strategy and Implementation Plan 2023-2027 aims to accelerate social and economic development in areas including health, education, social protection, employment and welfare.
The Kingdom of Saudi Arabia has approved nearly $20 billion in investment in artificial intelligence until 2030 as part of an ambitious plan aimed at diversifying the economy. The Kingdom established the Saudi Data and Artificial Intelligence Authority and launched the National Strategy for Data and Artificial Intelligence.
Prominent challenges include material and technical obstacles, lack of awareness of the importance of using these technologies, scarcity of training courses motivating workers to employ AI technologies, lack of financial allocations, and lack of specialists and experts in AI technologies.
