The Future of Artificial Intelligence, Machine Learning, and Data Science
Candid Conversations, Roundtable Discussions, & Global Perspectives
Candid Conversations, Roundtable Discussions, & Global Perspectives
It's one thing with AI is properly vetted and implemented safely. It is an entirely different situation when unknown and admittedly undertested AI models are being used to grade important tests for students in school systems.
The Texas Education Agency (TEA), under the leadership of Commissioner Mike Morath, has faced significant controversy over the implementation of artificial intelligence (AI) to grade the State of Texas Assessments of Academic Readiness (STAAR) tests. This move has been criticized for several reasons.
Critics argue that the AI grading system may not accurately reflect student performance, particularly for nuanced or subjective answers that require human judgment. This has raised concerns about the fairness of the grading process, especially for students from disadvantaged backgrounds who may be disproportionately affected by errors.
There is apprehension that the use of AI grading could adversely affect students' academic records and future opportunities if the AI systems fail to accurately assess their capabilities. This is particularly concerning for students in lower-performing schools or those with special educational needs.
Join Caleb Stevens and host Dan Wilson for an close look at what is going on with this debacle, and gain technical insight into how AI systems work.
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