Artificial Intelligent Augmented Reality Police E-Trainer for Culturally Competent De-Escalation and Non-Lethal Force Police Training to Eradicate Police Violence Against Black Males

人工智能增强现实警察电子培训器，用于文化能力降级和非致命武力警察培训，以消除警察针对黑人男性的暴力行为

• 批准号: 10601754
• 负责人: Jayfus Tucker Doswell
• 金额: $ 25.43万
• 依托单位: JUXTOPIA, LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-25 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10601754
• 关键词: Address; Adult; Affect; African American population; American; Americas; Artificial Intelligence; Auditory; Augmented Reality; Baltimore; Behavior; Black Populations; Centers for Disease Control and Prevention (U.S.); Cessation of life; Cognitive; Color; Communities; Competence; Computer Vision Systems; Computer software; Consent; Cues; Data; Disputes; Domestic Violence; E-learning; Educational Intervention; Empathy; Engineering; Environment; Ethics; Evaluation; Face; Funding; Gestures; Hand; Health Policy; Home; Individual; Injury; Instruction; Intervention; Justice; Latino; Law Enforcement; Law Enforcement Officers; Learning; Martial Arts; Maryland; Measurable; Measures; Mediating; Medical Care Costs; Methods; Murder; National Institute on Minority Health and Health Disparities; Natural Language Processing; Phase; Police; Police Forces; Public Health; Publishing; Reporting; Research; Resistance; Risk; Running; Small Business Innovation Research Grant; Software Engineering; Speech; Stress; System; Teacher Professional Development; Teaching Method; Techniques; Testing; Text; Time; Training; Trauma; United States; United States National Academy of Sciences; United States National Institutes of Health; Violence; Visual; Walking; Woman; Work; animation; artificial intelligence algorithm; augmented reality headset; black men; cost; cultural competence; deep learning algorithm; depressive symptoms; experimental study; health disparity; high risk; implicit bias; improved; innovation; instructor; lifetime risk; man; men; mortality; multimodality; prototype; psychological violence; research and development; response; skills; skills training; trauma symptom; visual tracking; weapons

PROJECT SUMMARY/ABSTRACT Police violence against black males, in the United States (U.S.), is a public health disparity [37]. Physical & psychological violence that is structurally mediated by systems of law enforcement, results in deaths, injuries, trauma, and stress that disproportionately affect blacks in the U.S. According to a 2019 study, published in the Proceedings of the National Academy of Sciences, Americans’ risk of being killed by police is highest for black men, who face ~1 in 1,000 chance of being killed by police over their lifetime. White men have ~1 in 2,500 chance of being killed by police over their lifetime, and Latino men a ~1 in 1,900 chance. Women less likely than men to be killed by police. Their lifetime risk is ~1 in 33,000, compared to 1 in 2,000 for men. Moreover, black men, in the U.S., are up to 3.5 times more likely than whites to be killed by law enforcement; and 1 in every 1,000 black men will die at the hands of police. In Baltimore, Maryland (MD), The Department of Justice (DOJ) revealed, in a 163 page report, that African Americans were targeted and abused by Baltimore police indicating a conspiracy against black citizens. The Center for Disease Control and Prevention (CDC) estimates the overall cost of fatal and nonfatal injuries, by law enforcement, is ~$1.8 billion including medical costs and work lost. Public health policy experts suggest that mandatory training shall be implemented to reduce implicit bias of law enforcement officers against communities of color. However, little is known about effects of implicit biases on behavior, and no experimental studies have been conducted to measure the impact of implicit bias reduction interventions among law enforcement officers. Likewise, officers receive limited de-escalation training; w/training efforts met w/ resistance from police chiefs & national Fraternal Order of Police. During the NIH SBIR Phase 1 effort, Juxtopia team will address the aforementioned public health disparity to help mitigate the police violence endemic against black males by investigating the technical/commercial feasibility of engineering Juxtopia® CAMMRAD Police augmented reality (AR) goggles to distribute an artificial intelligent (AI) police e-trainer & e-evaluator, built upon the Juxtopia® augmented reality (AR) hardware/software platform to achieve the following SBIR Phase I Specific Aims. A. Prototype CAMMRAD Police to e-train/e-evaluate police on de-escalation & use of non-lethal force: B. Evaluate CAMMRAD Police w/ Baltimore police in controlled & austere settings during learning stages.

项目总结/文摘