Augmented Intelligence

The world belongs in the hands of humans. We empower faster, more informed decision-making with user-centered machine intelligence. Here are some examples from our blog below.

Uncharted at IEEE VIS 2021

Join us at any of our sessions or just reach out to discuss the latest in visual analytics.

Michael Crouch
October 20, 2021

It’s time again for IEEE VisWeek, and Uncharted is excited to be on hand both as a sponsor of the VIS Diversity/Inclusivity Scholarships and a presenter of three new peer-reviewed research papers.

Towards a Paradigm for Visual Modeling
Augmented intelligence for compositional problem-solving with large-scale systems

Fahd Husain
November 5, 2020

This seminar describes the visualization and augmented intelligence techniques being developed by Uncharted for interactively exploring, assembling and engaging large, complex graphical models.

TellFinder Alliance, in response to the increased presence of online child sexual abuse material (CSAM) appearing in online commercial sex advertisements, has created new tools for TellFinder users to identify and report these images to the National Center for Missing & Exploited Children’s (NCMEC) CyberTipline in seconds.

Classifying News and Social Media for Visualization
Using a semi-supervised machine learning and visual analytic workflow to simplify the creation of document classifiers

Craig Hagerman, Richard Brath, Scott Langevin
August 12, 2019

As we recently discussed at the 23rd International Conference on Information Visualisation, one challenge with visualizing unstructured sources like news and social media is getting the right data. To remedy these problems, we created a subsystem to help domain experts who lack data science knowledge so they can easily build better classifiers once and only occasionally maintain them.

Introducing Uncharted's Argument Mapper
Reasoned assessment, analysis, and decision making

David Sheffield, Michael Crouch
April 25, 2019

Intelligence analysts, criminal investigators and legal practitioners frequently face complex cases with large volumes of ambiguous, uncertain, contradictory or inconclusive evidence. They must rapidly analyze the evidence, assess the situation and recommend options with clear justification to decision makers. Moreover, inherent human cognitive biases, such as neglect of probability, confirmation bias and recency bias further complicate objective analysis.