This session examined the often-overlooked consequences of AI, focusing on its environmental footprint, potential for bias, risks of job displacement, and impact on our understanding of truth. Participants explored issues such as energy and water consumption, AI hallucinations, and systemic bias in hiring algorithms. Through case studies and ethical discussion prompts, educators reflected on how to critically engage with AI's growing role in society and advocate for more transparent, equitable, and sustainable use. 

This session explored the intersection of artificial intelligence and digital wellness in K–12 education, highlighting both the benefits and risks AI poses to student well-being. Participants examined AI's role in focus, organization, and accessibility alongside concerns like screen time, misinformation, and emotional dependency. 

This session focused on using AI as a tool for providing meaningful, timely feedback to students across content areas. Educators explored platforms like Brisk and Snorkl, which support writing, math, and science feedback through rubrics, targeted comments, and conceptual understanding. Participants reflected on how AI can enhance formative assessment while maintaining authenticity and supporting deeper learning.

Together we explored how AI can transform the way we create presentations—making the process faster and more intuitive. We learned how AI tools can help structure and refine content while enhancing slide design with ease. This session provided practical strategies for leveraging AI to save time while improving the clarity and effectiveness of presentations.

During this interactive session, we explored innovative ways to boost student engagement using a variety of artificial intelligence tools. Participants experimented with platforms like Khanmigo, Curipod, and Padlet AI Recipes—each offering creative approaches to lesson planning, interactive content, and classroom collaboration. The session empowered educators to use AI in meaningful, student-centered ways. 

By leveraging the power of AI, educators can streamline communication tasks, enhance productivity, and provide personalized support to students and colleagues - ultimately improving the overall educational experience.

Aatash Parikh, creator of the AI instructional design tool Inkwire, led the first session of a four-part series on using AI in instructional design. The session showcased how Inkwire applies High Tech High's Kaleidoscope design framework to craft impactful student learning experiences.

The community of practitioners explored various rubrics for evaluating artificial intelligence tools in educational settings. While the rubrics differ in comprehensiveness, they all share the common goal of identifying the most beneficial and appropriate tools for schools. Three AI tools introduced for exploration were Brisk, Diffit, and Magic School AI. For more options, visit AIEducators.Tools! 

Gretchen Shipley from F3 Law designed and facilitated another impactful session, this time focused on developing responsible use policies for the safe integration of artificial intelligence tools in schools. The session covered:

• key elements that should be included in comprehensive AI policies,

• timelines and the role of educational partners in the policy development process, and

• important considerations to address inaccuracies, ensure equitable access, and mitigate bias.

This session featured F3 Law's Gretchen Shipley who engaged participants in a discussion focused on the legal considerations needed to implement artificial intelligence in schools. This session aimed at identifying: 

• safety tips to consider when expanding your duty of care, 

• the potential for positive and negative consequences of AI's use in schools, and

• steps that school districts can take to vigilantly ensure they are maximizing AI's use while also putting safeguards in place concerning misconduct. 

Listen in as Henry Jin, the creator of the teacher-centered AI system Leo, demystifies AI! As an AI designer, he provides invaluable insight into the mechanics and anatomy of large language models. This session aimed to: 

• provide clarity around the specific layers of artificial intelligence from machine learning down to large language models, 

• outline the history of AI, and  

• explain not only how large language models generate the outputs you receive as a user, but also where your data goes!