Professor Advocates AI and Digital Forensics for Predictive Crime Prevention in Nigeria
A Professor of Criminology at Lagos State University (LASU), Adedeji Oyenuga, has emphasized that adopting Artificial Intelligence (AI) and digital forensic tools is essential for advancing crime prevention efforts in Nigeria. Oyenuga, who coordinates the university's Master's Programme in Criminology and Security Studies, made these remarks during the Criminology and Security Studies Lecture Series 2.0, themed 'Digital forensic investigation: Processes, techniques, and applications'. He argued that security practices must evolve from traditional reactive approaches to more predictive and preventive models, driven by emerging technologies.
Shifting from Reactive to Predictive Security
Oyenuga highlighted that security has historically been viewed as reactive, but the focus is now shifting towards predictive and preventive measures. He stated, "People have always viewed security as reactive, but we are now moving toward predictive and preventive security. With the help of AI, Internet of Things, and advanced technologies, we can anticipate incidents before they occur." This transition, he explained, leverages AI to enhance investigative processes by reconstructing crime scenes and providing empirical evidence to support logical deductions.
AI in Practical Crime Investigations
The professor cited a recent case involving a planned accident, where AI simulation played a crucial role in exposing the incident as premeditated. He detailed, "I employed AI to reconstruct the scene, and it became clear that the accident was planned; the evidence was difficult to dispute, and the suspect failed to appear for further questioning." Oyenuga noted that AI helps investigators validate suspicions with verifiable data, especially in situations where conventional methods may fall short. However, he cautioned that AI tools must be properly understood and applied to avoid inaccuracies, as they can sometimes produce misleading outputs if not carefully managed.
Relevance of AI in Criminology and Education
On the relevance of AI in criminology, Oyenuga explained that the technology enables investigators to translate theoretical assumptions into practical and demonstrable evidence. He added that AI can analyze accident patterns and generate scenarios consistent with physical evidence, thereby strengthening investigative outcomes. Regarding the role of universities, he stressed the need for institutions to integrate digital forensic studies into their curricula, describing it as indispensable in an increasingly digital world where individuals leave traces of their activities online.
Oyenuga also emphasized that universities must prioritize practical training in digital forensics to equip students with the skills needed to meet modern security challenges. While acknowledging some progress has been made, he stated that more efforts are required to expand training and increase student participation in these areas.
