5.2 AI Ethics and Data Stewardship

Join Katherine, Keith, and Sarah as they examine AI ethics, student safety, and data stewardship in K-12 education. Explore how educators can model responsible AI practices, establish clear classroom boundaries, safeguard student data privacy, and build healthy, transparent AI habits in their schools. Highlights Modeling responsible and critical AI use with students. Using AI effectively while preventing over-reliance and dependency on AI. Setting explicit expectations for disclosure and citation. Protecting student information and which tools are safe to use. Resources shared in the episode ⁠AI for Educators Framework⁠ - iamed.tech/ai-framework AI Disclosure Generator - https://sites.google.com/kentisd.org/... AI Privacy and Safety Checks Tool - iamed.tech/aiprivacysafety REMC Michigan Student Data Privacy Alliance⁠ Professional Learning See all of our offerings here: Kent ISD AI Professional Learning⁠ ⁠The AI Pulse⁠ - Join live or listen later PD - Ongoing ⁠- AI Anywhere⁠ - Broadcast PD - August 17 & 18 ⁠- Promptober⁠ - Daily bite-sized learning - Begins October 1st AI Pulse PDx Register now at iamed.tech/aipulse How do/might you practice safe, responsible, and healthy AI use personally, and with your learners? Citations This podcast is produced by Keith Tramper, Sarah Wood, and Katherine Fredrickson as a service for K-12 educators. This episode was directed by Katherine Fredrickson and edited by Keith Tramper. Theme music for this episode is ⁠Neon Nights by Scott Holmes⁠ on ⁠FMA⁠.