AI Literacy in Maryland: From the General Assembly to the Classroom

AI education in Maryland is rapidly expanding, with new bills, pilot programs, and community partnerships shaping K-12 and higher-education curricula. This momentum follows a wave of legislation and grassroots initiatives that aim to make artificial intelligence (AI) literacy a core component of every student’s learning journey.

In 2023, the Maryland General Assembly introduced seven AI-focused education bills, more than double the count from 2020. (Baltimore Sun) These measures signal a statewide commitment to prepare learners for a future where AI tools are as commonplace as smartphones.

1. My First Encounter with AI Literacy in Maryland

When I was invited to speak at a “Future of AI Education” roundtable hosted by Black Engineer in early 2024, I didn’t expect the conversation to feel like a reunion of old friends. The panel included a high-school robotics coach from Baltimore, a community college dean in Frederick, and a state legislator who had just co-authored a bill on AI curriculum standards. As we shared stories, a clear pattern emerged: educators across the state were eager to embed AI concepts, but they needed clear guidance and resources.

My own path to AI literacy began in 2021, when I taught a general education course on “Digital Ethics” at a public university. I realized that students could discuss bias in social media but struggled to explain how machine-learning models actually work. To bridge that gap, I partnered with a local tech nonprofit to create a hands-on workshop titled “AI for Everyone.” The workshop’s success - over 150 participants in its first month - caught the eye of a Maryland state senator, who later invited me to testify on the “Artificial Intelligence in Education Act” (2023). That testimony helped shape language that requires K-12 districts to adopt at least one AI-focused lesson per grade level by 2026.

From that moment, I saw the power of a single classroom experiment to influence state policy. The experience taught me three lessons that still guide my work today:

• Start small: a single module can spark district-wide change.
• Speak the language of policymakers: frame AI as a “21st-century skill.”
• Center equity: ensure AI curricula reflect the experiences of all students, especially underrepresented groups.

Key Takeaways

• Maryland introduced seven AI education bills in 2023.
• Grassroots workshops can influence state legislation.
• Equity must be woven into AI curricula from day one.
• K-12 districts must adopt at least one AI lesson per grade by 2026.
• Collaboration between schools and tech nonprofits accelerates change.

2. The Legislative Engine: Maryland General Assembly’s AI Bills

The Maryland General Assembly has become a testing ground for how state policy can accelerate AI literacy. Below is a snapshot of the most impactful bills introduced between 2020 and 2023.

What makes Maryland’s approach unique is the blend of top-down mandates (the HB 1025 requirement) and bottom-up support (the SB 743 professional-development grants). In my experience, districts that tapped into the teacher-training funds reported a 42% increase in confidence delivering AI content, according to a post-program survey published by the Center for American Progress (CAP).

These legislative moves also echo a historic moment: the Maryland General Assembly was the first body to pass an anti-miscegenation law in 1664 (Wikipedia). While that law reflected a different era, today’s AI bills aim to break barriers - this time, by ensuring every student, regardless of background, can understand and shape the technologies that affect their lives.

3. Bridging the Gap: K-12 and Higher-Education Initiatives

Legislation alone does not teach AI; classrooms do. Across Maryland, schools are turning policy into practice through three interconnected pathways:

1. Curriculum Integration - Districts are embedding AI concepts into existing subjects. For example, a 7th-grade math class now uses a simple decision-tree model to explore probability, while an English class examines algorithmic bias in literature recommendation engines.
2. Hands-On Labs - Community colleges, bolstered by SB 158 funding, have built “AI Innovation Labs.” At Montgomery College, I toured a lab where students program chatbots using Python and evaluate their ethical implications. The lab’s open-source curriculum is freely available to K-12 teachers, creating a ripple effect.
3. Equity-Focused Partnerships - Nonprofits like AI for All Maryland partner with historically Black schools to co-design lessons that reflect African American cultural contexts. According to the U.S. Census Bureau, the Black population in Maryland stands at 12.63% of the state (Wikipedia). By aligning AI examples with community history - such as analyzing the impact of algorithmic policing on Black neighborhoods - educators foster relevance and engagement.

One concrete case illustrates the power of this triad. In 2022, I collaborated with a Baltimore charter school serving a predominantly Black student body. Together we launched a project where students used a visual-programming tool (Scratch) to map the spread of the 1918 influenza pandemic in African American neighborhoods. The project earned the school a state award for “Innovative Use of AI in History.” Students reported that connecting AI to their heritage made the technology feel “less scary and more useful.”

These examples also underscore a critical point: AI literacy is not a single course but a set of lenses - ethical, technical, and societal - that can be woven into any general education requirement. When universities adopt AI ethics modules as part of their “General Educational Development” (GED) pathways, they reinforce the same critical thinking skills that K-12 teachers are nurturing.

4. Common Mistakes and How to Avoid Them

Warning: Many educators jump straight into coding without establishing foundational concepts. My early workshops showed that students who first learn what an algorithm is, why data matters, and how bias can creep in, become more resilient coders later on.

Below are the top three pitfalls I’ve observed, followed by practical fixes:

• Mistake 1 - Treating AI as a “gadget” subject.
  Solution: Frame AI as a critical lens for every discipline, similar to how we treat “digital citizenship.”
• Mistake 2 - Ignoring equity.
  Solution: Use local data (e.g., Maryland’s Black population) to create culturally relevant examples; partner with community organizations.
• Mistake 3 - Overloading teachers with technical jargon.
  Solution: Leverage the SB 743 professional-development program, which breaks concepts into bite-size modules and provides ready-to-use lesson plans.

By keeping these warnings front-of-mind, schools can avoid the “tech-for-tech’s-sake” trap and instead build lasting AI literacy.

Glossary

• AI (Artificial Intelligence): Computer systems that can perform tasks usually requiring human intelligence, such as recognizing speech or making predictions.
• General Education: Core courses required of all college students, designed to provide a broad base of knowledge and critical thinking skills.
• Professional Development (PD): Training activities that help teachers improve their skills and knowledge.
• Algorithmic Bias: Systematic and unfair discrimination that arises when AI models reflect prejudiced data or design.
• Decision Tree: A simple, visual model that splits data into branches to make predictions.

Frequently Asked Questions

Q: What does “AI literacy” mean for K-12 students?

A: AI literacy equips students with the ability to understand how AI works, recognize its impact on society, and use AI tools responsibly. It blends technical basics with ethical thinking, preparing learners for future jobs and civic participation.

Q: How can teachers start an AI lesson without a computer science background?

A: Begin with everyday analogies - like comparing a recipe (algorithm) to a cooking app (AI). Use free visual tools such as Scratch or Google’s Teachable Machine, which require no coding experience, and tie the activity to a subject they already teach.

Q: What funding is available for AI labs in Maryland colleges?

A: SB 158 (2020) allocated $12 million for AI laboratory equipment at community colleges. Schools can apply through the Maryland Higher Education Commission, and many have already received grants for hardware and curriculum development.

Q: How does Maryland ensure AI education is equitable?

A: The state’s AI bills require demographic data collection to monitor access, and partnerships with organizations like AI for All Maryland focus on culturally relevant content, especially for the 12.63% Black population (Census Bureau).

Q: Where can I find ready-made AI lesson plans?

A: The Maryland Department of Education hosts a free repository of AI curriculum units, and the CAP report provides a curated list of open-source resources for K-12 and higher education.

“Maryland’s AI education initiatives are a blueprint for other states: legislation sets the stage, but community-driven projects bring the story to life.” - Black Engineer, 2024