Maryland Governor Wes Moore Announces New Artificial Intelligence Framework to Protect Workers and Children

The framework builds on Maryland’s 2024 AI executive order, the Artificial Intelligence Governance Act and recent laws addressing deepfakes, AI impersonation, insurance decisions and online child safety.
Maryland highlighted a partnership with RAISE US and a $4 million investment to expand AI-related workforce training and cybersecurity initiatives.
The employment-bias guidance is part of a broader state effort to protect consumers, workers and children, amid technology-industry opposition to many state AI proposals and the current Trump administration’s efforts to limit or preempt state authority.
The University of Maryland was identified as a potential contributor to an AI strategy aimed at making technological development more inclusive and environmentally responsible.
Maryland Governor Wes Moore announced a statewide AI safety framework on September 22, 2026, designed to protect residents, prepare workers for job changes, and safeguard children from artificial intelligence risks. The plan includes possible requirements for frontier AI companies to conduct safety testing, independent audits, worker protections, and 72-hour incident reporting, according to the Governor's office.
The framework builds on Maryland's 2024 AI executive order and recent state laws on deepfakes, AI impersonation, and online child safety. Moore emphasized urgent action, saying: "With the speed with which AI is moving, Marylanders deserve guardrails that safeguard their rights, privacy, and dignity... we can't afford to wait while Washington sits on their hands." The state committed $4 million to workforce training and cybersecurity initiatives, with a $1.5 million sub-allocation for community AI clinics.
Maryland's proposed regulations would require frontier AI developers to conduct internal safety testing before deploying new systems. According to state documents, companies must also submit to independent third-party evaluations and disclose safety risks to the public. The framework mandates that AI firms report critical safety incidents within 72 hours and establish whistleblower protections for employees who identify problems.
These requirements mirror oversight models used in other regulated industries like pharmaceuticals and aviation. The AI Subcabinet will draft specific legislative language by late 2026 to codify these standards into law, officials confirmed.
Maryland's labor and civil-rights agencies will issue formal guidance clarifying how existing anti-discrimination laws apply to AI-assisted employment decisions. The guidance covers resume screening tools, interview software, and performance-evaluation systems that could unfairly exclude workers based on race, gender, age, or disability status. Employers using these tools must demonstrate they don't perpetuate historical biases in hiring.
The state will also clarify how consumer-protection, housing, and civil-rights laws cover automated decisions in lending, insurance, and rental applications. A standing Labor-Management Committee will involve unions in workplace AI integration discussions to ensure worker voices are heard during technological transitions.
Maryland partnered with the national nonprofit RAISE US and allocated $4 million to expand AI-related workforce training, apprenticeships, and education-to-career programs. Gina Raimondo, RAISE US co-founder and former U.S. Commerce Secretary, said: "America has a technology strategy for leading the global AI competition. It does not yet have a people strategy — and we cannot lead without one." The programs target workers displaced by automation.
The University of Maryland will serve as an academic partner to design inclusive and environmentally responsible AI strategies. State officials expect these initiatives to help workers transition into new roles as AI reshapes job markets across industries.
Maryland will develop safeguards and instructional models for K-12 AI use under the Artificial Intelligence Ready Schools Act. School districts must implement AI evaluation rubrics to assess whether classroom tools protect student privacy and prevent algorithmic bias in grading or discipline decisions. The framework addresses growing concerns about data collection from minors and the environmental impact of AI systems.
State agencies will clarify how existing child-safety laws cover AI-powered educational software. This effort recognizes that schools increasingly rely on automated systems for tutoring, attendance tracking, and special education identification—decisions that must remain transparent and fair.
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