The Battles the United States Criminal Justice System Will Face with the Integration of Artificial Intelligence
Presentation Type
Poster
Faculty Advisor
Thomas Loikith
Access Type
Event
Start Date
26-4-2024 11:15 AM
End Date
26-4-2024 12:15 PM
Description
This paper explores the implications of incorporating artificial intelligence (“AI”) into the United States criminal justice system, focusing on both its benefits and drawbacks. How can society strike a balance between the potential benefits of AI and its associated risks, while ensuring justice and fairness in law enforcement and judicial processes? Drawing from the disciplines of law and computer science, this paper analyzes how AI tools, such as predictive analytics and facial recognition, are reshaping traditional criminal justice methodologies. Furthermore, the paper investigates the pivotal role of cybersecurity in safeguarding the integrity of AI applications within the criminal justice system. For this paper, I have used a qualitative research methodology, specifically, textual analysis. I have researched, critically read, and analyzed scholarly and non-scholarly sources from the disciplines of law and computer science to determine insights relevant to the research problem. I then seek common insights between the disciplines, and integrate those common insights to arrive at new, interdisciplinary insights to achieve a more comprehensive understanding of the research problem. That greater understanding leads to suggested resolutions of the research problem. I have not completed my research yet, and I anticipate doing so by early April, so my conclusions at this point are tentative. However, I tentatively conclude that the government needs to regulate the use of AI in the criminal justice system in an effort to maintain a separation between where the use of AI is appropriate and where the continued prominence of court personnel, including judges, remains the norm.
The Battles the United States Criminal Justice System Will Face with the Integration of Artificial Intelligence
This paper explores the implications of incorporating artificial intelligence (“AI”) into the United States criminal justice system, focusing on both its benefits and drawbacks. How can society strike a balance between the potential benefits of AI and its associated risks, while ensuring justice and fairness in law enforcement and judicial processes? Drawing from the disciplines of law and computer science, this paper analyzes how AI tools, such as predictive analytics and facial recognition, are reshaping traditional criminal justice methodologies. Furthermore, the paper investigates the pivotal role of cybersecurity in safeguarding the integrity of AI applications within the criminal justice system. For this paper, I have used a qualitative research methodology, specifically, textual analysis. I have researched, critically read, and analyzed scholarly and non-scholarly sources from the disciplines of law and computer science to determine insights relevant to the research problem. I then seek common insights between the disciplines, and integrate those common insights to arrive at new, interdisciplinary insights to achieve a more comprehensive understanding of the research problem. That greater understanding leads to suggested resolutions of the research problem. I have not completed my research yet, and I anticipate doing so by early April, so my conclusions at this point are tentative. However, I tentatively conclude that the government needs to regulate the use of AI in the criminal justice system in an effort to maintain a separation between where the use of AI is appropriate and where the continued prominence of court personnel, including judges, remains the norm.