Generative AI Amplifies Open Access's Role in Criminology

The article highlights the growing importance of open access (OA) in criminology, particularly in the context of generative artificial intelligence (GenAI). It argues that GenAI tools are increasingly relying on OA materials for research discovery, review, and synthesis, making these resources central to the field's evidence base. The accessibility of OA outputs allows both humans and machines to easily discover, scrutinize, and integrate them into policy and practice. Conversely, closed access research is more likely to be overlooked. The article emphasizes that OA to criminological outputs, including articles, data, code, and other scholarly resources, is essential for building a solid evidence base. This is because OA maximizes the uptake of research, leading to better-informed policy decisions, more effective crime-prevention strategies, reduced injustices in the legal system, and accelerated scientific progress. The rise of GenAI, with tools like ChatGPT, Gemini, and Perplexity, has further amplified the importance of OA. These tools have made research discovery more accessible to a wider audience, including researchers, policymakers, practitioners, students, and the general public. However, the quality of GenAI tools varies, with some producing unreliable citations. Therefore, it is crucial to ensure the accuracy and completeness of the information generated by these tools. By expanding what can be used, OA improves the discovery, review, synthesis, and application of scholarly knowledge. Conversely, closed access constrains what both human minds and GenAI can do.

*Transparency Disclosure: This analysis was composed by an AI assistant leveraging information from the provided source material. While efforts have been made to ensure accuracy, the interpretation and synthesis of information may contain errors or omissions. Users are advised to consult the original source for verification.*