AI Articles and Analysis in Government

According to the US Government Accountability Office, the Federal Bureau of Investigation’s database contains over 30 million mugshots of criminals and ID card images from 16 states. This is just one of many law enforcement databases which also contain further identity information, including fingerprints and text data.

Event Title: The Conference on Disarmament at the United Nations in Geneva

Event Host: the United Nations

This article is based on a presentation at a joint United Nations / INTERPOL conference for law enforcement agencies held in Singapore entitled “Machine Learning and Machine Vision Cutting-Edge Trends and Implications in Law Enforcement” delivered by Emerj CEO Daniel Faggella.

Event: 1st INTERPOL – United Nations (UNICRI) Global Meeting on the Opportunities and Risks of Artificial Intelligence and Robotics for Law Enforcement

Tech Provider: TAMR - a company that automates the organization of a company’s enterprise-wide data through a machine learning-driven plus human-guided solution

Companies and cities all over world are experimenting with using artificial intelligence to reduce and prevent crime, and to more quickly respond to crimes in progress. The ideas behind many of these projects is that crimes are relatively predictable; it just requires being able to sort through a massive volume of data to find patterns that are useful to law enforcement. This kind of data analysis was technologically impossible a few decades ago, but the hope is that recent developments in machine learning are up to the task.

For most people, the direct impact of improvements in weather forecasting may seem to be that it simply makes vacation planning easier, but even smallest advancement in predicting the weather can produce massive improvements for businesses and governments.

The vision of an army of small unmanned aerial vehicles streaming through the sky to rapidly deliver food packages has captured the imagination of the public, the media, and most importantly some of the largest companies in the world. Achieving this vision won’t just require overcoming the technological and safety challenges, but also significant buy-in from the public and policy makers.