Session Description:

 As generative AI becomes increasingly embedded in education, students face growing uncertainty about what is permitted, how their work will be evaluated, and whether they might be falsely accused of misconduct. Many institutions have responded with AI detection tools and stricter policies. However, detection technologies are often inconsistent and imperfect, creating real tension between students and educators. False positives, disputed results, and uncertainty around authorship can undermine trust, increase student anxiety, and shift attention away from learning itself. Typed By Hand was built on a different philosophy: AI is not the enemy. In fact, we believe AI can be a powerful tool for learning when used responsibly and transparently. We are a pro-AI company that advocates for AI responsibility, student ownership of work, and authentic learning. The challenge is not AI itself, but creating confidence in what work originated from the student and what work was enhanced through AI. This session explores how Typed By Hand's patented technology helps make the writing process visible by capturing authentic writing metadata and preserving an organic drafting history. Schools can create AI-free drafting environments when desired, ensuring that initial student thinking and composition remain entirely their own. Once that foundation is established, students can responsibly leverage AI for revision, feedback, and improvement while maintaining transparency throughout the process. By providing visibility into the writing journey itself, Typed By Hand helps students, educators, and administrators distinguish between original student thinking and AI-assisted enhancement. The result is greater confidence in authorship, reduced anxiety around false accusations, and a more responsible framework for integrating AI into teaching and learning. Attendees will hear directly from Richmond Community Schools' student technology team about their role in evaluating the platform, providing feedback, and helping educators better understand how students experience writing, AI, academic integrity, and assessment in today's classrooms. Through a combination of research, practical examples, student perspectives, and real-world implementation experiences, participants will explore how transparency can reduce student anxiety, strengthen trust between students and educators, promote responsible AI use, and move the conversation beyond unreliable AI detection tools.

 Learning Outcomes:

 • Understand how AI-related anxiety is impacting students, educators, and institutions.

• Understand the limitations of AI detection technologies and the impact false accusations can have on student trust and institutional culture.

• Explore why many institutions are moving beyond AI detection toward transparency-based approaches.

• Learn how authentic writing metadata and visible drafting processes can support academic integrity while reducing false accusations.

• Examine how institutions can balance student ownership of work with responsible AI-assisted revision and learning.

• Hear directly from students about how transparency impacts trust, accountability, and confidence in the classroom.

• Identify practical strategies for implementing AI responsibility initiatives without discouraging innovation. 

Session Agenda Setting the Stage: Trust, Anxiety, and AI in Education (10 Minutes) Student Perspectives from Richmond Community Schools (15 Minutes) Building Trust Through Transparent Student Work (15 Minutes) Interactive Discussion (15 Minutes) Questions & Answers (5 Minutes)

Why This Session Matters: K-12 education & higher ed do not need to choose between embracing AI and preserving academic integrity. Across K-12 and higher education, institutions are discovering that AI detection tools alone cannot solve the challenges created by generative AI. The future belongs to institutions that can confidently distinguish between original student thinking and AI-assisted enhancement.

Key Takeaways: The future of academic integrity is not detection. It is transparency. When students, educators, and administrators can clearly see the writing process, AI becomes less about suspicion and more about responsibility, learning, and trust.