INTEGRATING ARTIFICIAL INTELLIGENCE INTO CYBERCRIME INVESTIGATION: CHALLENGES AND FUTURE DIRECTIONS

Approved

Relevance and Originality

The research article addresses a significant and contemporary issue: the challenges posed by cybercrime in the context of policing strategies. The exploration of artificial intelligence (AI) as a potential solution for enhancing cybercrime investigations is both relevant and original. Given the increasing sophistication of cybercriminal activities, the focus on AI technologies such as machine learning and natural language processing is timely. However, the article could strengthen its originality by providing unique insights or case studies demonstrating successful implementations of AI in combating specific types of cybercrime.

Methodology

The article outlines a methodology that incorporates various AI technologies to tackle cybercrime challenges effectively. It discusses the integration of machine learning, natural language processing, and deep learning techniques, which provides a robust foundation for addressing the problem. However, the methodology would benefit from a more detailed explanation of how these technologies can be practically applied in real-world investigations. Including specific algorithms or frameworks and discussing their implementation would enhance the comprehensiveness of the methodology presented.

Validity & Reliability

The claims made in the research article are largely valid, as they are supported by an analysis of existing legal frameworks from India, the EU, and the United States. This contextual background lends credibility to the proposed solutions for incorporating AI into cybercrime investigations. Nonetheless, a more thorough evaluation of current literature and empirical data on AI applications in law enforcement would bolster the reliability of the findings. Addressing potential limitations and challenges in implementing AI technologies could provide a more balanced view of their effectiveness.

Clarity and Structure

The structure of the research article is generally logical, guiding the reader from the introduction of the problem to proposed AI solutions. The language used is mostly clear, though some technical terms could benefit from further clarification to accommodate readers unfamiliar with AI concepts. Improved use of headings and subheadings would help enhance navigation throughout the article, making it easier for readers to locate specific topics or sections. Overall, a more organized presentation would contribute to the article's overall clarity.

Result Analysis

While the research article highlights the potential of AI in enhancing cybercrime investigations, it lacks specific results or quantitative metrics to demonstrate the effectiveness of the proposed solutions. Providing examples or case studies of successful AI applications in real-world scenarios would significantly strengthen the analysis. Furthermore, discussing the implications of these technologies for policy and decision-making within law enforcement could offer valuable insights into their practical applications and influence on future strategies.