TSC student wearing VR headset and surrounded by blue light technology graphics.

AI at TSC: Innovation and Education

Preparing for an AI Powered Future

Tallahassee State College is committed to leading the way in preparing students, faculty, and the broader community for an AI-driven future. Through initiatives like the inaugural AI Innovation Summit, the college is fostering collaboration across industries and creating space for forward-thinking conversations about the impact of artificial intelligence on how we live, learn, and work.

At the heart of this vision is a belief that education must extend beyond the classroom, serving as both a catalyst for opportunity and a foundation for resilience. By integrating AI literacy into its programs, TSC is empowering learners not just to use emerging technologies but to lead with them responsibly and effectively.

Guided by the principle that AI is a tool to enhance - not replace - human potential, the college is dedicated to equipping its community with the knowledge, skills, and ethical grounding needed to shape the future with confidence and purpose.

TSC's intentionality in AI is reflected in our AI Pillars.

AI Guides and Training

Policies and Responsibilities

TSC continues to evaluate the impact of artificial intelligence on teaching and learning, including how AI influences academic practices, student engagement, and assessments. As these discussions continue, it is important for all users to understand their responsibilities in safeguarding personal data, institutional information, and intellectual property.

Please take a moment to review the guidelines and expectations outlined in our TSC IT Security Plan and Acceptable Use Policy (AUP) to ensure you are protecting yourself and the college community.

AI Literacy Framework

TSC's AI Literacy Framework will be grounded in four core competency areas:

  • Conceptual understanding will provide foundational AI knowledge, including common definitions and concepts, as well as how AI systems are developed and deployed.
  • Ethical use will address algorithm bias, hallucinations, and inaccuracies in AI-generated outputs. It will also address issues of access, copyright and intellectual property, data privacy, transparency, and proper attribution when AI tools are used.
  • Evaluation and critical assessment will develop skills to assess the quality, reliability, and appropriateness of AI outputs, as well as ongoing assessments of AI implementation and learning outcomes across the institution.
  • Practical application will emphasize responsible and effective use of AI tools through real-world examples and articulated best practices. This will include “dos and don’ts” tailored to academic and administrative use cases.