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EXPLAINABLE AI (XAI) & THE DEEP LEARNING SUMMIT 2021

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Grace Teo, Ph.D., Sr. Research Psychologist
The major challenge with the use of artificial intelligence (AI) is that it is often difficult to explain how AI or machine learning (ML) solutions and recommendations come to be. Previously this may not matter as much because AI’s use was limited and its recommendations were confined to relatively trivial decisions. In the past few decades, however, AI use has become more pervasive and some of these AI solutions are impacting high-stakes decisions...

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THE PREPRINT PROBLEM

PictureMichael Schwartz, Human Factors Researcher
Preprints first caught my eye in May 2020. As a human factors researcher who has researched wearables for several years and owned a few (remember the Jawbone UP?) my interest was piqued by a Washington Post headline, “Wearable tech can spot coronavirus symptoms before you even realize you’re sick” (Fowler, 2020). The wearable mentioned in the Post article, the Oura ring, must have already been developed before COVID-19 reached the U.S. and a novel application was developed for the existing hardware.​

"USER-CENTERED" BUSINESS MODEL

PictureJulian Abich, Ph.D., Senior Human Factors Engineer
This short post was inspired by an article I recently read about a group of dentists that decided to open a practice in NYC (D'Ambrosio, 2020). What's different about it is these dentists offer a very limited number of services (in fact only three: cleaning, whitening, and straightening). No, it's not because they are underqualified to perform other services or they're just lazy, it's because through their research they found most people... ​​

QIC SUPPORTS VIRUTAL REALITY USABILITY TESTING FOR THE USAF

Read more here: https://www.jbsa.mil/News/News/Article/2495556/559th-fts-pilots-test-new-immersive-training-devices/​​

QIC IN SOCIAL MEDIA

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