Anatomy Of Ia

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Miles Price

Education Technology

Anatomy of an IA Information Architecture

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Nick Schmidt of BLDS, LLC to the Maryland AI meetup, June 4, 2019 (https://www.meetup.com/Maryland-AI). Nick discusses ideas of fairness and how they apply to machine learning. He explores recent academic work on identifying and mitigating bias, and how his work in lending and employment can be applied to other industries. Nick explains how to measure whether an algorithm is fair and also demonstrate the techniques that model builders can use to ameliorate bias when it is found.

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In this talk we provide an overview of how Artificial Intelligence and technology development can contribute to existing policing practices. In particular, we discuss three different projects conducted in the context of the Centre of Policing Research and Learning of the Open University (http://centre-for-policing.open.ac.uk/) and the Trivalent project (http://trivalent-project.eu/). The first project, policing engagement via social media, provides an overview of how police forces in the UK make use of social media to communicate with the public, and what attracts citizens to engage with social media policing content. The second project, detecting grooming behaviour on social media, describes the problem of child grooming online, and our proposed approach to automatically identify the different stages of grooming behaviour from online content. The third project, radicalisation detection on social media targets the problem of online radicalisation, where individuals are introduced to extreme views, primarily through the use of social media. Within this context our work focuses on the detection of pro-ISIS stances and on the understanding of the processes that influence the adoption of radicalised behaviour.

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Semantic search helps business people find answers to pressing questions by wading through oceans of information to find nuggets of meaningful information. In this presentation we’ll discuss how semantic search and content analysis technologies are starting to appear in the marketplace today. We’ll provide a recap of what semantic search is and what the key benefits are, then we’ll answer the following questions: • Is semantic search a feature, an application, or enterprise system? • How can I add semantic search to my existing work processes? • Will I need to replace my existing content technologies? • What will I need to do to prepare my content for semantic search? • Is semantic search just for documents or can I search my data too? • Can I use semantic search to find information on the internet and other public data sources? • Are there standards to consider?

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Anatomy Of Ia

1. Anatomy of an IA Information Architecture

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Anatomy Of Ia

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