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Bill

HB 5282

Relating to the use of artificial intelligence to score certain portions of assessment instruments administered to public school students.

89th Legislature (2025)

Texas bill authorizes AI systems to score portions of public school student assessments, potentially reducing costs and admin burden while raising questions about algorithmic bias and transparency.

Referred to Public Education
#artificialintelligence(iq7c5) #educationagency #texas(v9941) #education--primary&secondary--testing(i0229)
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Bill Summary · HB 5282

Legislative bill overview

HB 5282 would authorize the use of artificial intelligence to score specific portions of assessment instruments administered to Texas public school students. The bill establishes a framework for implementing AI-based scoring while maintaining oversight of how this technology is applied in educational testing contexts.

Why is this important

Assessment scoring directly impacts student grades, course placement, graduation eligibility, and college admissions prospects. Using AI for scoring could reduce administrative burden and costs while potentially increasing consistency, but it also introduces questions about algorithmic bias, transparency, and accountability in high-stakes educational decisions affecting thousands of students.

Potential points of contention

  • Algorithmic bias concerns: AI systems can perpetuate or amplify existing biases in training data, potentially disadvantaging students from underrepresented groups in subjective assessment areas like writing or essay responses
  • Transparency and explainability: The "black box" nature of some AI systems may make it difficult for educators, parents, and students to understand how scoring decisions were made or to appeal questionable results
  • Scope of "certain portions": The vague language about which assessment components qualify for AI scoring could lead to inconsistent application or gradual expansion without additional oversight
  • Human review requirements: The bill's approach to maintaining human oversight and appeal processes remains unclear, creating potential gaps in quality control and student due process

Compiled from official sources — confirm details with the bill’s official record.

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