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.
A new partnership between TellFinder Alliance and two researchers at the Wharton School, University of Pennsylvania kicked off in February this year — coincidentally at the same time that the coronavirus pandemic became a global crisis.
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.
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.
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.
Data from TellFinder was admitted as evidence for the first time in a US court in a 2019 human trafficking trial in the Ninth Judicial Circuit of Florida.