escWorks

Texas SB 1964 establishes a statewide governance framework for the responsible procurement, deployment, and use of artificial intelligence by governmental entities—an approach with direct relevance for Texas school systems as they adopt AI-enabled tools and services. District leadership, technology leaders, and educators are central to translating these expectations into operational practice. This session begins with a practical overview of SB 1964, including the core concepts that drive implementation (e.g., transparency/disclosure expectations, governance standards aligned to DIR rulemaking and the NIST AI Risk Management Framework, and special considerations for higher-risk “heightened scrutiny” use cases that influence consequential decisions).

Participants will then move from compliance to strategy through a guided, district-ready design process to develop an AI framework aligned to the law’s structure. Attendees will map the governance components districts need to operationalize responsible AI use—governance and decision rights, acceptable use, transparency practices, professional learning, risk management, vendor/procurement considerations, and a continuous review cycle—so that AI adoption is intentional, ethical, and aligned to district goals.