Artificial Intelligence
Advancing the Understanding of Immigration, Crime, and Crime Reporting at the Local Level with a Synthetic Population
Multi-Modal Analysis of Body Worn Camera Recordings: Evaluating Novel Methods for Measuring Police Implementation of Procedural Justice
Just Science Podcast: Just Deep Fakes
Artificial Intelligence
Research supported by NIJ is helping to lead the way in applying artificial intelligence to address criminal justice needs, such as identifying individuals and their actions in videos relating to criminal activity or public safety, DNA analysis, gunshot detection, and crime forecasting.
On this page, find links to articles, awards, events, publications, and multimedia related to artificial intelligence.
Providing Forensic Healthcare and Support to Native Communities
Advancing Visual Analytics and Computational Science to Combat Human Trafficking
Assessment of Sexual Assault Kit (SAK) Evidence Selection Leading to Development of SAK Evidence Machine-Learning Model (SAK-ML Model)
Latent Fingerprint Image Enhancement & Matching Using Deep Generative Adversarial Networks
AI Enabled Community Supervision for Criminal Justice Services
Northwest Indian Community Development Center- Tribal Law and Policy Institute Research Partnership
AI R&D to Support Community Supervision: Integrated Dynamic Risk Assessment for Community Supervision
Using Artificial Intelligence to Address Criminal Justice Needs
NIJ Journal Issue No. 280
Solving the Missing Indigenous Person Data Crisis: NamUs 2.0
PACE: Probabilistic Assessment for Contributor Estimation-A Machine Learning-based Assessment of the Number of Contributors in DNA Mixtures
Artificial Intelligence Research and Development to Support Community Supervision, FY 2019
NIJ seeks proposals for innovative, investigator-initiated technology research and development (R&D) projects to apply advances in Artificial Intelligence (AI) to promote the successful reentry of offenders under community supervision. Ideally, the R&D funded through this solicitation will result in fielded AI solutions that remain in use with community supervision agencies at the completion of the project.