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The AI product is called Draft One. The technology transcribes video from one or more bodycams worn by police officers to produce the reports and uses the same generative AI model that powers ChatGPT.
Extensive video surveillance systems were relegated to merely recording for possible forensic use to identify someone, after the fact of a theft, arson, attack or incident. Where wide angle camera views were employed, particularly for large outdoor areas, severe limitations were discovered even for this purpose due to insufficient resolution. [4]
Police interest in AI is nothing new, but it’s clearly ramping up with the recent AI boom. Ese Olumhense’s dispatch from “Cop Con” in The Markup was particularly enlightening.
An educator might learn to use these AI systems as tools and generate code, [7] text or rich media or optimize their digital content production. [8] Or a governmental body might see AI as an ideological project to normalize centralized power and decision making, [9] while public schools and higher education contend with increasing privatization ...
As widespread use of AI in healthcare is relatively new, research is ongoing into its application in various subdisciplines of medicine and related industries. AI programs are applied to practices such as diagnostics, [4] treatment protocol development, [5] drug development, [6] personalized medicine, [7] and patient monitoring and care. [8]
The Police Department is using AI tools to help maximize its resources, at a time when it is running short on officers. AI in Worcester: Risk and reward as city expands use of technology Skip to ...
In 2022, the Ring security company, owned by Amazon, admitted that it had provided audio and video from customer doorbells to police without user consent at least 11 times. The company cited ...
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.