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AI labels: Describing AI’s use in safety and security technologies AI labels: Describing AI’s use in safety and security technologies AI labels: Describing AI’s use in safety and security technologies

AI labels: Describing AI’s use in safety and security technologies

Our AI-enabled technologies help to augment human focus, effort and performance when seconds matter. AI labels provide clear, concise descriptions of how AI is used in our products.

How we design AI-assisted experiences

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 maximize human strengths like judgment and reasoning, and to adapt to changing roles, tasks, risk levels and cognitive states. Our AI design principles include:

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Make it accountable

We believe AI outputs should be traceable and transparent, whereby the user can easily see, check and override AI’s recommendations.

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Make it contextual

We believe AI should provide information tailored to the user’s role, task and current situation for optimized assistance.

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Make it engaging

We believe AI design should keep users cognitively engaged and alert to avoid blind trust or overreliance in technology.

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Make it tangible

We believe a user should be able to understand how AI conclusions were reached and see the sources from which suggestions were drawn.

How to read an AI label

AI labels explain the type of AI used in a product, who owns the data processed, human controls and the purpose behind the product’s specific application of AI. Explore how to read each section of an AI label below.

Description

Offers a clear, concise summary of how AI is used in the product. AI is a technology that enables computers and machines to simulate human intelligence and problem solving. AI is an overarching term that includes machine learning and generative AI.

 

Model purpose

Explains why the AI model(s) is used in the product. Examples include: 

  • Anomaly detection, or determining whether identified data is unusual or atypical against established patterns.
  • Audio transcription, or converting spoken words from an audio file into written text.

Model trained with customer data

Denotes whether AI models in the product were trained with customer data. This is application dependent.

1st or 3rd party model

Explains the AI model source. A first party - or proprietary AI model - is developed in-house whereas a third party model is developed outside Motorola Solutions and made available by a third party vendor. In some instances Motorola Solutions may customize third party models.

Generative AI

Denotes whether the product leverages an AI model that can generate images, videos, audio, text or other processed content. This type of AI model is also known as “GenAI.”

Type of media AI can process

Details what formats of media the AI model(s) can process, for example, video, audio or text.

Customer data AI can access

Explains who controls the data processed by the AI model(s) and who sets data retention policies.

AI definitions and terminology

Clarity in AI terminology is foundational to describing its use in safety and security technologies.


Term

Definition

AI model

An AI model is a term used to describe the type of AI being used in a product. There may be more than one model used in a product. AI models can be either machine learning or generative AI.

Machine learning

Machine learning is the use and development of computer systems that are able to learn and adapt without following explicit instructions by using algorithms and statistical models to analyze and draw inferences from patterns in data.

Generative AI vs. AI

Generative AI, or GenAI, is a type of AI model that can generate images, videos, audio, text or other processed content.

Agentic AI

Agentic AI is an AI system that can accomplish a specific goal with limited supervision.

AI agent

AI agents are AI systems that can mimic human decision making to learn, adapt and solve problems in real time.

Edge AI

Edge AI is the capability for AI models and tools to operate directly on a user's device without an active internet connection. Unlike cloud-based AI, which relies on remote servers, edge AI allows users to perform tasks such as natural language processing, image recognition and machine learning even in areas with limited or no internet connectivity.

Explore our products’ AI labels

Want to read more AI labels? Visit our product pages by clicking on the links below.

Explore our commitment to earning your trust

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Responsible Innovation

We design technologies intentionally, purposefully and responsibly to empower human decision-makers to help make people, property and places safer.

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Ethical Tech Governance

The Motorola Solutions Technology Advisory Committee governs our ethical use of technology to ensure we maintain the highest standards of integrity.

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Compliance

We protect your data, align to applicable regulatory and industry standards and maintain robust compliance certifications, attestations and reports.

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Privacy

We recognize the responsibility that comes with handling sensitive data and promote ethical data management to protect privacy rights.

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Security

We design, develop and deploy our products to protect the information security of the communities, businesses and public safety agencies we serve.

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