Criminal Justice Policy Team Lead

Aram Jung

Aram Jung is the Co-Team Lead for Criminal Justice Policy at the Institute for Youth in Policy. She is currently a student at Riverside High School. She joined YIP as a Criminal Justice Policy Analyst in 2024. In her current role at the Institute, she leads and collaborates with young researchers to examine the justice system and contribute data-informed perspectives to policy discussions.

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All articles by the author

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Policy Briefs by the author

Regulating Generative AI in Criminal Courts

Criminal Justice

February 8, 2026

This policy brief analyzes the potential of Artificial Intelligence (AI) in increasing the efficiency of the current justice system. While examining previous attempts at AI use and its now widespread adoption in the field of criminal justice, this paper evaluates areas of success as well as adverse effects. Although it has been suggested that AI can streamline administrative processes and reduce space for human error, it has the capacity to further augment pre-existing inequities within the criminal justice system. The analysis conducted considers thatAI is yet to harness the trust of the general public and that this technology’s “fairness” can be ambiguous. In response to these concerns and in an attempt to maximize AI benefits, this policy brief emphasizes on the need to establish supervised and open-source AI systems. Human oversight should be considered fundamental in this process, as should education. As a whole, this brief aims to outline the complexities involved with examining the fruitfulness of AI in criminal justice and suggest remedies to its challenges.

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Predictive Policing

Criminal Justice

December 10, 2025

Predictive policing is the forecasting of future crime locations by harnessing the power of information, geospatial intervention models, and evidence-based models in order to reduce crime, enhance public safety, and support proactive prevention. The discipline of crime analysis first appeared in 1842, when the London Metropolitan Police began using pattern recognition to solve and prevent crimes. By 1900, the U.S. federal government began the collection of national data with death rates (homicide rates) and additional metrics, such as prison population rates. This event marked the transformation in the scale and systemization of national data collection.

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Challenges and Limitations of Community Policing in U.S. Law Enforcement

Criminal Justice

October 22, 2025

This brief reexamines the topic of community policy, examining the local safety issues and drawbacks of these methods.

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Retribution and Rehabilitation: Juvenile Justice

Criminal Justice

May 28, 2025

This brief reexamines the topic of juvenile justice reform, examining the evolution of youth treatment under the criminal justice system.

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