When it comes to public safety, every moment counts. Making an effective emergency call means gathering critical information and sharing it quickly with first responders. However, 9-1-1 operators are experiencing the same challenges as many emergency services today: they are dealing with a shortage of staff and an increased workload.
It’s not just the operators who feel the strain; officers say they spend around 40% of their shifts on report writing and other paperwork. While this documentation is necessary, the time and effort it takes pulls resources away from more urgent, life-saving tasks.
Across various industries, AI automation is already making a difference. This technology streamlines manual tasks, allowing officers to spend less time at their desks. However, incorporating AI means balancing the trust in the technology’s accuracy with the serious consequences that mistakes can bring in public safety.
Market trends indicate that this challenge is being addressed.
Challenges in Public Safety
For new technologies to be useful in law enforcement and emergency response, they must effectively meet essential needs. Dispatchers have highlighted several major obstacles affecting their efficiency:
- High call volumes
- 50% of call time spent verifying details
- Handling multiple calls while entering data and sharing crucial information
Time constraints and language barriers are also significant challenges. Officers often report differences between what dispatch informs them and what they find at the scene. The flow of information between operators and responders is often inconsistent, making it difficult to identify areas for improvement.
Additionally, officers face obstacles that hinder proactive work and community engagement:
- Excessive time spent on report writing
- Time-consuming video editing tasks, like redacting sensitive content from body camera footage, which can take up to 35 hours
AI agents in public safety have been mainly used as tools to enhance productivity, allowing officers to focus on their core duties while handling routine tasks.
Role-Based AI Solutions
Given the diverse nature of daily tasks, AI agents can offer different benefits in the control room versus the precinct. Traditional automation often struggles with variability, which is why there’s a shift toward role-based systems that provide the right intelligence at the right moment. Products like Motorola Solutions’ AI-assist suite are examples of how this technology is evolving to meet these needs.
For instance, emergency call operators can use real-time translation and transcription to log information more effectively. AI agents can highlight critical keywords like “gun” or “heart attack,” helping operators respond swiftly and with the necessary details.
Moreover, AI agents can help triage incoming calls, redirecting general inquiries and non-emergency situations, which can make up to 65% of an operator’s workload in some areas. This organized system not only prioritizes urgent calls but also ensures data accuracy, regardless of language barriers.
The synthesized information helps officers by providing searchable accounts via voice commands while they’re on their way to a scene. Research shows that having verified data can enhance decision-making during call-outs, giving officers the situational awareness they need.
Smart Automation
AI’s role in reducing the burden of report-writing and administrative tasks aligns well with its use in other industries. Even though paperwork takes a significant amount of officers’ time, the complexity of police work often goes beyond what standard AI can manage. AI can cross-reference timestamps and various sources of information to highlight any inconsistencies that may require further investigation.
In video editing, AI tools can analyze hours of body camera footage and blur sensitive information much quicker than a human could, who only needs to verify the results.
AI for the Public Good
It’s important to remember that these AI tools are meant to enhance productivity, not replace human officers. By reducing the time spent on administrative tasks, AI allows officers to re-engage with their communities. With approximately 240 million 9-1-1 calls received each year, while few indicate active crimes, every call deserves attention, which AI-equipped operators can better provide.
Ultimately, this technology is meant to support human efforts, not take over. While AI accelerates data collection and analysis, the final decisions remain in human hands.
By automating monotony, we free officers to focus on critical decision-making. However, this efficiency must be coupled with transparency. Only with clear and auditable AI processes can we retain the public trust that is essential for safe operations.
