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Police will cooperate with the community to maintain an open channel of communication so that people understand advanced technologies are not vicious, and once the stigma fades, the public will recognize its usefulness.
FREMONT, CA: The vast quantity of data involved in every investigation is one of the most significant issues facing law enforcement agencies today, causing bottlenecks and slowing down investigative activity. Investigators must evaluate these digital assets to uncover pertinent information about every case and potentially admissible evidence in court. It is not only caused due to the vast volume of data that needs to be examined but also to the wide range of sources from which digital evidence is gathered.
Law enforcement anticipates seeing more agencies implement AI- and machine-learning-based solutions that can automatically evaluate and interpret data from images, sensors, and even court-admissible biometrics to fight data overload. These approaches use artificial intelligence to connect data pieces that would otherwise be overlooked by human investigators or time-consuming to identify. In urgent circumstances such as kidnapping, where a victim must be discovered and brought to safety as quickly as possible, this shows to be a critical differentiator.
The utilization of Digital Intelligence, or data gathered from digital sources like cellphones, computers, or the Cloud, and the process by which authorities undertake an investigative study and exploit that data to manage their operations efficiently, will be enabled by these new capabilities.
This AI-powered analysis has the additional advantage of reducing the time investigators must spend analyzing graphic pictures, which can be harmful to people over time.
AI Becomes Ethical
It's no mystery that the general public has a wrong impression of AI-based technologies, fearing that such technology will invade their privacy or be racially biased. While it is an obvious concern, it's essential to remember that law enforcement doesn't use AI technology to invade people's privacy. Instead, it's used to fight crime and maintain the safety of the communities.
But the law enforcement authorities are aware of a communication gap between the law and the general population on technology. As more agencies employ AI and machine learning-based solutions, law enforcement must adhere to ethical norms and eliminate bias and adverse perceptions from such tools.
As a result, departments will start to follow new, established policies and collaborate with governing bodies on ethical and responsible AI usage, including appropriate training for relevant teams and business functions, and cultivate an ethos of data-driven and responsible decision-making.