ABSTRACT

Artificial Intelligence & Machine Learning in Public Safety   [open pdf - 0B]

From the Executive Summary: "2018 was definitely the year of Artificial Intelligence, after demonstrating its full potential in various areas of science and technology; the Public Safety domain is not an exception. Artificial Intelligence (AI), and specifically Machine Learning (ML), are being tested in an increasing number of fields, including data-centric environments. Image or text analysis, speech recognition, chatbot interactions, custom machine learning models… all these are elements that could enable the AI journey of a public safety and security organisation. This document dives into different aspects of integrating AI & ML in Public Safety activities, at different levels and in different domains of activity. It presents ethical and regulatory considerations, real examples from Public Safety Answering Points (PSAPs) and Emergency Response Organisations (EROs), and also initiatives that can benefit the public sector greatly, with a series of recommendations at the end."

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Date:
2019-12-16
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Copyright:
European Emergency Number Association
Retrieved From:
European Emergency Number Association: https://eena.org/
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application/pdf
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