<?xml version="1.0" encoding="UTF-8"?><item href="/issues/2026-spring/accountable-ai.html" dsn="news"><item_date>04/23/2026 01:07:01 PM</item_date><category_header>Innovation</category_header><title>Accountable AI</title><subheader>UNT researcher Supreeth Shastri is leading a framework for AI. </subheader><description>UNT researcher Supreeth Shastri is leading a framework for AI. </description><author/><photographer/><image><img src="" alt=""/></image><thumbnail_image><img src="/issues/2026-spring/_images/25-0465_supreethshastri_049_thumb.jpg" alt="Supreeth Shastri,"/></thumbnail_image><taxonomy-story-type/><taxonomy-cultural-story-category/><taxonomy-news-sections>UNT News</taxonomy-news-sections><taxonomy-college-department/><taxonomy-tags/><type>story</type><categories/><relationships/><main-content>
	
	Supreeth Shastri
 

As companies continue to leverage artificial intelligence and look to implement it in all aspects of life, a researcher at UNT wants to make sure that AI is accountable. Supreeth Shastri, an assistant professor in the Department of Computer Science and Engineering, is working with a law scholar to lay the groundwork for a benchmark that companies building AI can use to evaluate and demonstrate their accountability. Thanks to a National Science Foundation EAGER (Early-concept Grants for Exploratory Research) award, Shastri will focus on three areas for the framework: self-driving vehicles, health care and cybersecurity.</main-content></item>