In November 2019, a customer of Apple Card complained when he and his wife separately applied for Apple Card credit, and his wife was given a credit limit twenty times lower than his despite the fact that they jointly owned all assets in a community property state. According to Neil Vigdor in an article in the New York Times, an Apple Card representative checked into the matter and came back with the explanation that “It was the algorithm.”
MITRE has taken on a challenge: to shape America’s future workforce and economy by alerting college students to the power of artificial intelligence (AI). That vision is now taking shape at schools across the country through an initiative known as Generation AI Nexus (Gen AI).
A woman who has always identified as Ashkenazi Jewish received a DNA testing kit from one of the ancestry services and participates on a whim. Surprise! Turns out her father was actually a non-Jewish sperm donor. It’s one of many fascinating and recent cases of renegotiating identity, along with stories about an adopted child finding their true birth family, or even individuals tracing their ancestry back to someone practicing witchcraft.
Ali Zaidi is a MITRE data scientist tackling an interesting challenge for MITRE as part of his work for Generation AI Nexus. As the fields of machine learning and data science have grown, the need for machine learning education has become a necessity of many fields few would associate with computer science.
Jesse Buonanno, a Cyber Security Engineer at MITRE, focuses on cyber operations. Jesse spends his spare time learning about blockchain and cryptocurrencies.
So you’ve heard about Symphony™ – MITRE’s automated provisioning framework that rapidly builds secure analytic cells for geospatial, AI, and machine learning applications. Have you tried explaining it to a college student?
Welcome to the second installment of the Knowledge-Driven Podcast. In this series, Software Systems Engineer Cameron Boozarjomehri interviews technical leaders at MITRE who have made knowledge sharing and collaboration an integral part of their practice.
Clinical diagnostic support. Loan approval. Predictive policing and parole. These are all examples of consequential systems, meaning that they are systems with immediate, long-term, impactful consequences on people within them.
Artificial intelligence (AI) is getting better all the time. You can see it all around you, from Alexa and Siri keeping your appointments and shopping lists, to news articles about self-driving cars, to a program called AlphaZero (Silver et al., 2018) that will probably never lose to any human in chess or GO.
The process of neural interactions and visual interpretation happens every time your brain wants to identify literally anything you look at.
Chances are, you’ve interacted with an embedded system today. Did you use a thermostat? How about a car? Or maybe a mobile phone? Or a television, a game console, an elevator, a train, a pacemaker?…
Blockchain has essentially created a new type of internet in which information can be widely distributed without relying on traditional centralized architectures…
What Does It Mean for Artificial Intelligence to Achieve Parity with a Human? A Case Study of Neural Machine Translation
On March 12, 2018, Microsoft’s Artificial Intelligence (AI) and Research group announced: “We find that our latest neural machine translation system has reached a new state-of-the-art, and that the translation quality…
Intelligent voice assistants like Amazon’s Echo and Google Home are quickly becoming an integral part of our daily lives. Echo adoption …