Technology, Criminality and Law Enforcement in Pre-Crime Society
Project/Area Number |
20K20691
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Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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Allocation Type | Multi-year Fund |
Review Section |
Medium-sized Section 1:Philosophy, art, and related fields
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Research Institution | Ritsumeikan Asia Pacific University |
Principal Investigator |
MANTELLO Peter・A 立命館アジア太平洋大学, アジア太平洋学部, 教授 (10454977)
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Project Period (FY) |
2020-07-30 – 2024-03-31
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Project Status |
Granted (Fiscal Year 2022)
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Budget Amount *help |
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2020: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | surveillance / technology / criminality / policing / security / computation / prediction / analytics / Terror / Predictive / Policing / Algorithm / Bias / Security / Computation / Big Data / algorithm / predictive policing / precrime / posthoc |
Outline of Research at the Start |
This project examines the emerging world of pre-crime and the various ways in which predictive policing technologies are reshaping the post-hoc traditions of the criminal justice system. The focus of preemptive law enforcement shifts from visual evidence taken directly from individuals to algorithmic projections of crimes yet to happen based on real time data streams & archival criminal meta-data of what others have done in the past.
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Outline of Annual Research Achievements |
Completed desktop analysis of major works and mapped the ecology of predictive policing technologies in Europe, Japan, and North America. Concomitantly, I also surveyed the emerging role and importance of predictive policing technologies in border security, national security and importantly, cyber security. Specifically, I investigated the potential risks of large language models (chatbots) being used by criminal organizations such as the rising use of Deep Fakes and Voice Fakes in crimes involving identity theft. I conducted interviews with the Interpol agency located in Thailand and persons working under the Royal Thai Police Department who are actively using computational methods for criminal investigations. Some of the spokespersons for Interpol and the Royal Thai Police Department included senior Interpol Officers such as Nat Chavanich and Niyom Saleh Kaseng. I also spent time interviewing law enforcement stakeholders who I met at several conferences and forums such as the AI forum in Brussels and the EU CyberCrime Forum in Prague which were related to the growing threat of the malicious use of AI. During this period I was able to network and make contacts that will assist with my research in FY2023.
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Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
The research was slightly delayed because of COVID restrictions which curtailed many aspects of my research project including interviews with prominent/key stakeholders in Europe, the United States, and Canada, archival research at some key libraries which were closed because of COVID (especially, in the United States) and other organizations such as NGOs, civil liberty organizations, and privacy groups. Besides this, I was unable to conduct the citizen workshops which are an important centerpiece of my research project.
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Strategy for Future Research Activity |
The plans are to complete the rest of my interviews with law enforcement agents and spokespersons. Visit start-ups and legacy companies in Europe, the United States, and Canada that are using predictive policing/suspicious AI technologies. Finish interviews with non-government agencies, civil liberty organizations, and privacy groups who are critical of predictive policing technologies. Also, I intend to conduct a sentiment analysis of predictive policing surveillance technologies used for social media. Moreover, I will conduct a series of citizen workshops with ordinary citizens in the United States to gauge their perceptions, attitudes, and beliefs about the prospects of predictive policing becoming a new normal in modern-day society. Thus, FY2023 will be focused on completing many of the work packages that were originally slated for FY2022.
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Report
(3 results)
Research Products
(1 results)