Role ofai in public safety

Using AI responsibly is crucial to harness its benefits while mitigating risks and biases. This blog post explores considerations for where to use different types of AI, the importance of pre-existing models, and compliance considerations related to the Department of Justice Criminal Justice Information Services (DOJ CJIS) framework.

‍Public Safety Tech TrendsThis specialized AI model is designed to provide insights and analysis on the latest trends in public safety technology, drawing from public safety technology outlets dating back to 2020.

While large language models (LLMs) and other GenAI systems are gaining popularity, established non-generative models still hold significant value. Traditional statistical models and rule-based systems offer several advantages:

However, it is critical to understand that the generic use of "AI" in marketing and media can be misleading or confusing. Often, AI is portrayed as a catch-all solution without the necessary context, leading to misconceptions about its capabilities and limitations. Both generative and non-generative AI models are not infallible; they are prone to errors and can sometimes make decisions that are difficult to interpret. For the public, it's essential to recognize the differences between various types of AI and to comprehend their unique applications and limitations, as well as the potential trade-offs, to fully understand the technology's impact on public safety.

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AI's applications in law enforcement are vast and varied, enhancing various aspects of public safety technology. Some current examples include:

By staying informed and adopting responsible practices, public safety agencies can maximize the benefits of AI while safeguarding public trust and security.

Since our inception in 2020, we have consistently focused on a balanced approach to AI in public safety. Leveraging GenAI can enhance data analysis and training, while non-generative models provide more reliable and precise outputs for critical applications. Ensuring compliance with the DOJ CJIS framework and following best practices for AI deployment will help law enforcement agencies harness AI's potential responsibly and safely.

LOS ANGELES (KABC) -- The Los Angeles Police Department is just a few months away from accessing private surveillance cameras -- with permission -- from owners, merging those feeds with public security cameras and creating video networks that the agency says will help crack down on crime.

Adhering to the DOJ CJIS framework is critical for law enforcement agencies to protect CJI. Here are some key considerations:

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"They (officers) can gain immediate access to that information, so they have a better chance of stopping the crime, protecting people from further harm and also identifying and bringing to justice those who are responsible," said LAPD Chief Michel Moore.

Artificial intelligence (AI) is reshaping so much of what we do in many different sectors, and public safety is no exception. As AI adoption continues to grow, it presents both opportunities and challenges.Â

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Moore said local businesses and residents would be able to register their surveillance cameras with the program and retain ownership of all video from their equipment. After a crime is reported, police would be able to see any relatable video and provide it to responding officers immediately.

But the idea of creating widespread camera networks throughout the city has some people complaining of potential privacy violations and inappropriate surveillance.

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The LAPD hopes to eventually have one Real-Time Crime Center in each of it's 21 divisions, Moore said, but will start with them in just three divisions: the Downtown Corridor, Hollywood and Van Nuys.

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"Technology today is a game-changer in the sense of our ability over the evolution of policing to simplify tasks, to get better and more accurate information, more timely. and allow us to go out and be more effective," said Moore.

The Executive Order on Safe, Secure, and Trustworthy Development and Use of AI provides valuable guidance for responsible AI deployment. Key highlights include:

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By providing clear, contextual information and being transparent about AI's role and capabilities, public safety agencies can build trust and ensure that AI is used effectively and ethically.

The LAPD briefed the Los Angeles Police Commission on Tuesday morning about its plans to create three Real-Time Crime Centers in three of its 21 divisions, giving the department almost instant access to video of crimes, allowing officers to quickly respond with more and better evidence.

"All these things haven't solved retail crime -- they were never meant to," Matyos Kidane of the Stop LAPD Spying Coalition told police commissioners during the meeting's public comment section. "It's just to fear-monger. It's just to increase these surveillance cameras."

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