Fox News contributor Joe Concha joins'Fox & Friends First' to discuss Elon Musk's warning that artificial intelligence could threaten elections and his concerns on the declining birth rate. The United States government uses artificial intelligence in the military, intelligence, and law enforcement to help mitigate potential threats. However, the use of machine learning technology largely remains unregulated by the government, although year-on-year spending on AI government contracts continues to increase. Read below to find out how AI can potentially transform government agencies and impact US democracy. WHAT ARE THE DANGERS OF AI? FIND OUT WHY PEOPLE ARE AFRAID OF ARTIFICIAL INTELLIGENCE The Federal Bureau of Investigations, the top law enforcement agency in the United States, has used artificial intelligence to assist in crime prevention and intelligence gathering.

Recording Industry Association of America CEO Mitch Glazier says the Human Artistry Campaign aims to protect professional creators' rights to their performances, voices and likenesses after AI creates Drake and The Weeknd songs. A pilot program in the U.K. to enhance police capabilities via artificial intelligence has proven successful but could pave the way for a slide into a future of "predictive policing," experts told Fox News Digital. "Artificial intelligence is a tool, like a firearm is a tool, and it can be useful, it can be deadly," Christopher Alexander, CCO of Liberty Blockchain, told Fox News Digital. "In terms of the Holy Grail here, I really think it is the predictive analytics capability that if they get better at that, you have some very frightening capabilities." British police in different communities have experimented with an artificial intelligence-powered (AI) system to help catch drivers committing violations, such as using their phones while driving or driving without a seat belt.

When it comes to predicting when and where crimes will occur, a growing number of communities in Japan are turning to artificial intelligence. Some municipalities have already started to fine tune citizen patrol routes based on data gathered by AI in a bid to prevent crime, while other communities are considering similar steps. Nagoya began to use such a system last July, after a successful test resulted in the detection of crimes. The system currently in use was developed by Tokyo-based Singular Perturbations Inc., a company founded by experts in mathematics and statistics. It allows citizens on patrol to download an app with recommended patrol routes, which are generated following an AI analysis.

Multiple industries across the world are embracing the functionalities of Artificial Intelligence to boost productivity and gain high ROI. Law enforcement officers have also started utilising Artificial Intelligence in solving crimes-- from petty to horrendous. The machine learning models, help the police department to guide through each step without wasting too much time on any wrong process to capture criminals. It boosts productivity to help victims get justice as soon as possible. Jurors consider multiple pieces of evidence captured by Artificial Intelligence to decide the severity of the punishments.

Over 1500 researchers across multiple fields have banded together to openly reject the use of technology to predict crime, arguing it would reproduce injustices and cause real harm. The Coaltition for Critical Technology wrote an open letter to Springer Verlag in Germany to express their grave concerns about a newly developed automated facial recognition software that a group of scientistts from Harrisburg Univeristy, Pennsylvania have developed. Springer's Nature Research Book Series intends to publish an article by the Harrisburg scientists named A Deep Neural Network Model to Predict Criminality Using Image Processing. The coalition wants the publication of the study - and others in similar vein - to be rescinded, arguing the paper makes claims that are based unsound scientific premises, research and methods. Developed by a New York Police Department veteran and PhD student Jonathan Korn along with professors Nathaniel Ashby and Roozbeh Sadeghian, the Harrisburg University researchers' software claims 80 per cent accuracy and no racial bias.

What if the solution to solving crime, lowering murder rates and fighting the opioid crisis could be found through a marriage of computer science and entrepreneurship? That's exactly the goal of Crimer, a crime-prediction software that began as a project last year in an LSU Computer Science class. The students who created the software also created a company, named Crimer as well, made up of 12 employees--11 of whom are current or former LSU computer science students. "We collect crime data from the Internet and use it to build a national crime prediction map over the United States," said Alexander "Lex" Adams, a May 2019 LSU Computer Science graduate and founder and chief executive officer of Crimer. "A variety of machine-learning algorithms are responsible for the extraction, transformation, loading and predicting of crime reports. We complement our crime data with a variety of auxiliary data--weather, terrain, population and more."

In the recent book, "Prediction Machines", authors Agrawal, Gans and Goldfarb lay out a compelling and insightful proposition. They argue that the explosion of artificial intelligence in business is due to simple economics. How? Artificial intelligence lowers the cost of prediction. Prediction is about making bets on the future. By using artificial intelligence to address problems of prediction, businesses can make "better, faster and cheaper decisions".

Artificial intelligence (AI) is being used both to monitor and prevent crimes in many countries. AI is used in such areas as bomb detection and deactivation, surveillance, prediction, social media scanning and interviewing suspects. However, for all the hype and hoopla around AI, there is scope for growth of its role in crime management. Currently, a few issues are proving problematic. AI is not uniformly engaged across countries in crime management. There is fierce debate on the ethical boundaries of AI, compelling law enforcement authorities to tread carefully.

Once again, Japan is taking advantage of the technological advances available to them. The country's government is already discussing about the development of a crime prevention system using artificial intelligence and big data, as reported by The Japan Times. Mami Kajita, developer of the data-analysis company Singular Perturbations Inc. says she hopes to "create a smartphone app for citizens in order to reduce the number of crimes, even if only slightly." Since street crime prediction has been successful in Europe and the United States, Kajita said that "We need to continue examining crime mechanisms unique to Japan." Kajita also reportedly researched on street crimes in Tokyo by studying the Tokyo Metropolitan Police Department's emails that entail cases like theft and molestation.

Artificial intelligence (AI) is being used both to monitor and prevent crimes in many countries. AI is used in such areas as bomb detection and deactivation, surveillance, prediction, social media scanning and interviewing suspects. However, for all the hype and hoopla around AI, there is scope for growth of its role in crime management. Currently, a few issues are proving problematic. AI is not uniformly engaged across countries in crime management. There is fierce debate on the ethical boundaries of AI, compelling law enforcement authorities to tread carefully.