To a layperson, AI is generally presumed to be computer technology that can broadly mimic a human in performing complex tasks. Currently, AI can emulate aspects of human intelligence, focused on narrowly defined tasks such as the ability to recognize objects of interest, or perform a translation of audible speech to text. In the context of responsibly applying AI to the public safety workflow, these specific task applications are, in fact, more beneficial.
What is Artificial Intelligence(AI)?
Artificial Intelligence(AI) refers to the simulation of human intelligence that leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. AI is having a significant impact and organizations are seeing the biggest performance gains, when it augments human workers instead of replacing them. AI uses a variety of approaches, such as deep learning and machine learning, to make tasks more natural to do. The vast improvement of these two capabilities has caused a paradigm shift in all sectors of the technology industry.
How does AI benefit our public-safety users?
Our objective is to support humans throughout the public safety incident workflow by augmenting their decision-making and offloading repetitive and laborious tasks with appropriate AI assistance. Some ways that we are applying AI in this regard include:
- Using AI to transcribe, translate, interpret and summarize speech and text during human interactions with a public safety professional or emergency call center.
- Utilizing AI to power natural language interactions (voice bots), enabling first responders to control their operations and access critical information while allowing them to remain aware and attentive (“eyes up and hands free”) at all times. Voice applications could include running a license plate check with a voice query/response; populating a form verbally rather than manually; or a periodic autonomous well-being check by asking a first responder to verbally acknowledge their condition.
- Leveraging AI to “watch” the exponentially increasing video sources available to public safety, identifying unusual occurrences in real time and alerting a human analyst. These use cases range from noting the appearance of smoke, the formation of a crowd, a person crossing a security boundary, or identifying an individual matching a description such as a missing person or AMBER Alert subject of interest. AI also excels at searching historical videos for items or persons of interest.
- Applying AI in the form of biometric identification (such as facial recognition) in public safety applications to identify individuals without identification or who are incapable of identifying themselves.
How are we leveraging AI at Motorola Solutions?
Here at Motorola Solutions, we believe that AI will improve the efficiency, effectiveness and safety of the public-safety user community. We apply a human-centered design philosophy that is informed by copious customer research to guide our application of AI based on the foundational tenets of “human-in-the-loop” for all consequential actions, and an emphasis on the use of human-centered design in the application of AI for focused, purpose-built solutions. We believe that one of the most critical design heuristics for AI-driven applications is the necessity of being transparent with the user and keep the user informed of AI-driven decisions and allow the user to maintain control. Our goal is to ensure equitable, transparent, understandable, accountable, secure and reliable operations.
What is the need for responsible AI?
Artificial Intelligence is new, complex, powerful technology. Applied carelessly, it can generate surprising and unintended results. Applied improperly or maliciously, the technological scaling of AI can amplify or institutionalize undesirable outcomes - a risk of particular import for public safety, given its societal impact. Responsible AI simply means that when applying AI in products and services, one must consider the ramifications (good, bad, or unexpected) and constrain, focus, and monitor its use to ensure proper results. Fundamentally, AI powered solutions must be unbiased, secure and trustworthy. Motorola Solutions approaches responsible AI based on our guiding policies and principles, supplanted by the underpinning human-centered design, development, validation, and performance monitoring processes that ensure our AI solutions adhere to the policies.
Underlying our foundational tenets designed for the unique needs of public safety, there are generally acknowledged universal considerations when applying AI that Motorola Solutions acknowledges:
- Human in the loop
- Focused applications
- Disciplined innovation
- Governance and compliance
Motorola Solutions is responsibly and incrementally employing AI to assist and augment our users to help them be more efficient, effective and safe. We are doing this by leveraging proven mission critical research and design principles guided by the fundamental tenets of human-in-the-loop for consequential decisions and focused solutions that leverage mature AI.
We are developing AI aimed at customer outcomes that are familiar and consistent with outcomes we’ve previously enabled in a more manual fashion with other technologies. AI simply enables these outcomes in a way that is more efficient, more effective, and safer. We can easily measure the effectiveness and accuracy of AI-driven solutions relative to more traditional methods of achieving the same outcomes. In this way, our AI solutions are anchored in and measured against widely accepted, culturally and ethically appropriate methods that support fairness, understandability, privacy, and security.
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