We prototype applications designed to make our users think about topics that we think are critical to creating the AI future that we all want to live in. Some areas we are researching are:
TechRamen Research Group
Protecting Children
Understanding the changing world
Combatting Misinformation
Helpfeds.com
An AI powered website that helps federal employees who are facing employment challenges find the resources they need. The site includes AI driven experiences to file EEO complaints, request reasonable accommodation, find and craft an email to state and local representatives, and understand complex information about processes in an easy to consume format.
Understanding the economy
We built a streamlit app using real world data and news feeds to explore the concepts
"Principles for Dealing with the Changing World Order" by Ray Dalio
explores the cyclical patterns of economic and political shifts throughout history, drawing lessons from major global powers' rises and declines. Dalio uses data-driven analysis to explain how empires, debt cycles, and internal conflicts shape the world’s future. The book provides insights into navigating uncertainty and understanding the forces that drive global change.
We built an app to accompany the book
Combatting Misinformation
We can no longer take information at face value. We need to quickly verify the information that we find online and that we generate using AI tools
This fact checker is meant to serve as a tool to help users test the validity of claims of information that they come across on the internet or that they generate using AI and want to validate the truthfulness of.
Methodology
Enter your claim then the application will search the internet for sources that either confirm of deny the validity of the claim. Each of the sources are given a grade based on the CRAAP framework. An LLM is used to calculate a veracity score between 0 and 1, then the CRAAP scores and veracity scores are combined into a final truth score between 0 and 1. The current thresholds are set at <= 0.3 is false, >= 0.7 is true, in between that is set to uncertain.