Instructions
Overview Artificial intelligence (AI) refers to computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI has seen rapid advancements in recent years and has the potential to transform many aspects of law enforcement.
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This project aims to provide recommendations and guidelines for law enforcement agencies seeking to adopt AI technologies. It will cover:
- Defining AI and sub-categories of AI used in law enforcement
- Key benefits of using AI for law enforcement agencies
- AI applications for criminal investigations
- Using AI to combat AI-related cybercrimes
- Potential problems and mitigation strategies
- Budgeting and cost analysis for AI implementation
- Additional research requirements
Scope The scope of this project focuses solely on AI applications that can assist law enforcement agencies in carrying out their duties. Other emerging technologies are out of scope. Only lawful and ethical uses of AI will be considered.
Key Tasks
- Environmental scan of AI use in law enforcement and related policy landscape
- Interviews with police IT units and industry AI experts
- Cost-benefit analysis and budgetary impact assessment
- Evaluation of AI criminal investigation tools
- Overview of cybercrimes exploiting AI and mitigating controls
- Framework for lawful and ethical AI usage
- Implementation roadmap, change management recommendations
- Identification of future research needs
Outcomes
- Presentation deck summarizing key findings
- Written report providing guidelines and recommendations
- List of AI vendor solutions suited for law enforcement
- Proposed acquisition and integration roadmap
- Estimated budget and resource requirements
- Risk management framework for responsible AI deployment
A quick summary of the top companies that can aid in implementation.
1. IBM: IBM offers a range of Watson AI capabilities that can help with crime prediction, real-time alerts, video analytics, and more. Their services are customized for law enforcement needs.
2. Palantir: Palantir’s data integration and analytics platforms can extract insights from vast amounts of structured and unstructured data to accelerate investigations. Their Gotham tool is built specifically for the public security space.
3. Axon: In addition to body cameras and digital evidence management, Axon provides real-time intelligence and machine learning analysis to aid officers and detectives during their daily work.
4. Cellebrite: Cellebrite’s forensic data examination tools allow agencies to unlock and analyze cellphone data more efficiently. Their analytics packages utilize computer vision and AI techniques.
5. PredPol: Predictive policing solutions from PredPol leverage machine learning algorithms on crime data to forecast highest-risk areas, supporting targeted patrols. Their models can incorporate near-repeat theory and seismic shifts over time.
6. Clearview AI: Clearview AI offers a facial recognition tool for law enforcement that can match unknown suspect photos against a database of billions of social media images to generate potential leads.
7. Hitachi Vantara: Hitachi Vantara’s video analytics platform uses AI to extract metadata and search capabilities from camera feeds, useful for digital evidence discovery. Complies with chain of custody requirements.