• Gianina Anemona Radu Police Academy Bucharest


artificial inteligence, crimes, investigation, threat, human rights



Artificial intelligence (AI) and automated decision-making (ADM) system are increasingly used by law enforcement and criminal justice authorities. These systems are often used to profile individuals, to predict their behaviour and to assess their risk of certain behaviour, such as committing a crime in the future. In such circumstances, people can be classified  as criminals or considered a risk even if they haven’t commited any crimes. AI can offer numerous benefits in criminal law, such as improved efficiency and accuracy, but there are also several risks and concerns associated with its use. One of the most compelling reasons to study AI is to learn how to use advances in AI technology to automate and perform tedious tasks. By utilizing AI-based solutions, businesses can streamline processes, increase efficiency, and reduce costs.


The level of preparedness for using AI in criminal law varies among states and jurisdictions. While some states have made significant progress in adopting and implementing AI technologies in their criminal justice systems, others may still be in the early stages of exploration or have not fully embraced these technologies. States need to have clear legal and regulatory frameworks in place to govern the use of AI in criminal law. This includes addressing issues such as data protection, privacy, transparency, accountability, and fairness. States with well-established legal frameworks specific to AI are generally better prepared for its use.




It is important to note that the implementation of AI in criminal law is a complex and evolving process, with ongoing discussions around its benefits, risks, and ethical considerations. Legal systems and jurisdictions are continuously adapting to incorporate AI technologies while addressing the challenges they pose.


Studying artificial intelligence is an invaluable endeavour that can open many doors for those interested in technology-related fields. From automation to data analytics to ethical implications, there are countless benefits that come with studying AI.


CHOPRA, S.; WHITE F. L. A Legal Theory for Autonomous Artificial Agents. [S.l.]: University of Michigan Press. 2011.

FERGUSON, A. G. The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement. NYU Press, 2019.

IMRAN, M. Gradient Descent Optimizer - Regression Made Easy Using Tensor Flow, 2020. Available at: Accessed in: 9 Oct. 2023;

JAHANKHANI, H., et al. Policing in the Era of AI and Smart Societies. Springer Nature, 2020.

McDaniel, J., and PEASE, K. Predictive Policing and Artificial Intelligence. Routledge, 2021.

MECAJ, S. E. Artificial Intelligence and Legal Challenges. Revista Opinião Jurídica, vol. 20, no. 34, pp. 180-196, 2022.

VENTRE, D. Artificial Intelligence, Cybersecurity and Cyber Defence. John Wiley & Sons, 2020.

WILLICK, M. S. Constitutional law and artificial intelligence: the potential legal recognition of computers as persons. Available in: , Accessed in: 06 Oct. 2023.






Contemporary Challenges in Detecting and Proving Crime