Wednesday, October 22, 2025

Southern Lehigh Poised to Be 10th Lehigh Valley District to Embrace Generative AI Policy

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Southern Lehigh Poised to Be 10th Lehigh Valley District to Embrace Generative AI Policy

Southern Lehigh Poised to Be 10th Lehigh Valley District to Embrace Generative AI Policy

The Southern Lehigh School District is on the verge of becoming the tenth district in the Lehigh Valley to adopt a generative artificial intelligence (AI) policy. This development reflects a growing awareness and need for structured guidelines regarding the use of AI technologies in educational settings, where the balance between innovation and ethical considerations will guide next steps.

Understanding Generative AI

Generative AI refers to a subset of artificial intelligence capable of creating content such as text, images, audio, and even video. Popular tools include ChatGPT, known for its ability to generate written essays, and various applications designed for problem-solving in subjects like mathematics. As generative AI continues to advance, it raises pivotal questions about how it is utilized in classrooms, as both a resource and a potential ethical challenge.

Real-World Applications and Challenges

Superintendent Karen Trinkle characterized the introduction of generative AI as both “exciting” and “scary,” highlighting that a coherent policy is essential. For instance, districts across the country are grappling with equitable access and the potential for misuse. A generative AI tool may help students complete homework more efficiently, but it poses risks like plagiarism and an overly reliant learning experience. These real-world implications underscore the necessity for frameworks guiding responsible AI use.

Core Components of the Proposed AI Policy

Southern Lehigh’s draft policy, acknowledged by stakeholders, is based on a framework from the Pennsylvania School Boards Association and incorporates rules from various districts. It delineates that students and staff may only access district-authorized generative AI tools. Furthermore, explicit permission from teachers is a prerequisite for any assignment-related use.

One significant aspect of the policy emphasizes the importance of citing AI-generated content to avoid plagiarism. Failure to attribute could lead to conduct violations, fostering a culture of academic integrity. Candi Kruse, Vice President of the School Board, stressed the need for students to be made aware of these requirements to prevent misuse—a notable departure from traditional classroom dynamics.

Implementation Strategy and Training

Training is a critical element of the policy rollout. Teachers and students will receive guidance on properly citing AI-generated materials and employing the tools responsibly. This training echoes broader educational practices surrounding digital literacy, akin to social media education, where understanding privacy protection will also be a focus.

Age-Appropriate Access and Use

The implementation plan outlines that access to generative AI tools may vary by grade level. For example, younger students might have stricter limitations, while high schoolers might undergo a more comprehensive introduction to AI’s capabilities and implications. This tiered approach ensures that education stays relevant and safeguards against inappropriate use.

Evaluating the Policy’s Strengths and Weaknesses

While the proposed AI policy provides a foundation, there are calls for clarity and refinement. School Director Emily Gehman raised concerns about the ambiguity of terms such as "final determinations" in relation to grading. She suggested that clearer definitions would be beneficial to prevent confusion amongst educators regarding their use of AI tools during the grading process.

Differentiating Student and Staff Use

Gehman’s insights also emphasized the difference between student and staff AI use. She argued for possibly separate policies for each group, as their interactions with AI tools are inherently distinct. Such differentiation could enhance the effectiveness of the guidelines while acknowledging the various stakes involved for students and educators alike.

Conclusion: A Path Forward

Southern Lehigh’s budding generative AI policy exemplifies a nationwide trend of adapting educational frameworks to meet the complexities of emerging technologies. The proactive steps taken by the school board underscore a commitment to fostering a responsible learning environment that recognizes both the power and pitfalls of AI in education. As discussions continue, the district remains poised to fine-tune its approach to integrating generative AI, with the understanding that patience and flexibility will be crucial in navigating this evolving landscape.

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