We believe AI must be responsibly designed for mission-critical contexts in order to reliably assist people - and supercharge human capability - in critical moments of safety or security. At its core, we design AI to maximise human strengths like judgment and reasoning, and to adapt to changing roles, tasks, risk levels and cognitive states.

The Motorola Solutions Technology Advisory Committee (MTAC) is a diverse and multidisciplinary group that advises the company on the responsible and ethical use of our technologies, including the use of data and AI. MTAC works to ensure our innovations remain aligned with our purpose and values, and that accuracy, inclusivity, transparency and fairness are inherent in our solutions. Learn more

AI for emergency services can help solve key challenges. The technology can expedite a response by providing critical information to first responders quickly. AI can also detect potential threats that could impact community safety and support investigations by streamlining data analysis.

Another challenge that AI helps solve for emergency services is enhancing community trust and accountability. When AI is implemented with transparency, it can support fair policing practices and provide peace of mind for communities. Contact an expert

The public safety sector is adopting AI technologies, such as natural language processing (NLP) and machine learning, to enhance efficiency and improve response times.

Emergency Control Rooms use NLP to support call handling by translating and transcribing calls, while flagging keywords that determine incident urgency.

In the field, AI can help officers craft their reports, cross-checking accuracy and flagging discrepancies across multiple sources of incident intelligence, such as 911 calls, radio transcripts and video security footage.

Moreover, police forces use machine learning to analyse data, automatically flag unusual activity and alert responders to potential threats in real time. Contact an expert

We don’t build AI as an add-on; we build it into the networks your entire operations depend on.

Grounded in the mission-critical radio “lifeline,” and orchestrated across broadband, MANET, low Earth orbit (LEO) satellite and WiFi networks, we’re operationalizing intelligence across your environment from the cloud to the edge.

This foundational backbone provides the scale, security and redundancy that public safety demands, helping keep AI “on and always working” wherever you go. Contact an expert

Responsible AI means that AI technology is developed and used ethically and transparently to benefit society. This includes minimising biases, prioritising privacy and maintaining accountability in AI-informed decisions. To help avoid blind trust and overreliance in AI’s outputs, we design AI with ‘good friction’ - technology guardrails - so humans remain the ultimate decision makers. Contact an expert

At Motorola Solutions, we design AI systems with trust and transparency at the forefront, prioritising human decision-making while safeguarding data privacy and ethical standards. Building trust in AI systems requires transparency in how they work and the data they use. We deliberately design our AI to be:

• Accountable: You can easily see, check and override AI recommendations.
• Contextual: You receive information tailored to your specific role, task and situation.
• Engaging: You stay actively involved to guard against blind trust in AI, supported by built-in technology guardrails that help you remain the ultimate decision-maker.
• Tangible: You understand how the AI reached its conclusions and can see the sources from which it collated information. Contact an expert