AI Technologies

Foundational research, modern technologies and robust, flexible data strategies are at the core of successful AI research and development. The AI technology lab team is comprised of Natural Language Processing (NLP) researchers and engineers, AI engineers, data engineers, and software developers.

The AI technology team is focused on supporting equity through the research, development and application of responsible AI. The team has documentation of best practices, guidelines and security measures that are followed throughout the ETS® AI Labs™.

The AI technology team aims to:

Drive innovation in the NLP and AI space through foundational research and development of generalizable capabilities
Enable advancements in learning and assessment through the application of cutting-edge technology to learning solutions
Create a strategic technological pipeline to scale capabilities and prototypes

Focus Areas

The AI technologies team has the following major focus areas:

Development of modern architectures that enable the effective prototyping and releasing of solutions throughout the labs
Use of multimodal AI to assess and provide feedback on recorded presentations
Automated assessment and feedback of written and spoken language
Automated generation of instructional and assessment content
Personalized learning paths based on cognitive learning model
Automated recommendation engines
Creating data pipelines and architectures for modeling and analytics
Development of software to test capabilities and build prototypes that meet user needs.

AI Powered Prototypes & Solutions

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Authentic Interview Prep

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