This session establishes a foundation for AI in K–12 by building a shared language and a "human-first" mindset. Participants will explore the current AI landscape through collaborative mapping, identifying high-value, low-risk use cases that streamline school workflows while prioritizing data privacy and accuracy.
Attendees will move from theory to action by co-creating responsible use norms and a personalized use-case map. By balancing time-saving automation with critical oversight, participants will leave with the practical tools and ethical frameworks necessary to lead intentional AI integration in their classrooms and offices.
This session establishes a foundation for AI in K–12 by building a shared language and a "human-first" mindset. Participants will explore the current AI landscape through collaborative mapping, identifying high-value, low-risk use cases that streamline school workflows while prioritizing data privacy and accuracy.
Attendees will move from theory to action by co-creating responsible use norms and a personalized use-case map. By balancing time-saving automation with critical oversight, participants will leave with the practical tools and ethical frameworks necessary to lead intentional AI integration in their classrooms and offices.
This session establishes a foundation for AI in K–12 by building a shared language and a "human-first" mindset. Participants will explore the current AI landscape through collaborative mapping, identifying high-value, low-risk use cases that streamline school workflows while prioritizing data privacy and accuracy.
Attendees will move from theory to action by co-creating responsible use norms and a personalized use-case map. By balancing time-saving automation with critical oversight, participants will leave with the practical tools and ethical frameworks necessary to lead intentional AI integration in their classrooms and offices.
This session establishes a foundation for AI in K–12 by building a shared language and a "human-first" mindset. Participants will explore the current AI landscape through collaborative mapping, identifying high-value, low-risk use cases that streamline school workflows while prioritizing data privacy and accuracy.
Attendees will move from theory to action by co-creating responsible use norms and a personalized use-case map. By balancing time-saving automation with critical oversight, participants will leave with the practical tools and ethical frameworks necessary to lead intentional AI integration in their classrooms and offices.
