"As students gain the ability to navigate computing systems, utilize networks and the internet responsibly, analyze and interpret data with an antibias lens, solve problems using algorithms and programming, and carefully consider the ethics of computing technologies, they become informed digital citizens who can leverage AI and other technologies to promote social justice and equity."
California Department of Education
CDE.CA.gov/
As the integration of Artificial Intelligence (AI) in educational systems becomes increasingly prevalent, El Segundo Unified recognizes the need to implement safe, effective, and ethically guided AI policies and practices.
Key Strategies
Stakeholder Identification and Engagement:
Engage caregivers, students, teacher, administrators, community members, and valuable partners to contribute insights and concerns.
Host open forums and workshops to facilitate collaborative brainstorming and discussion.
Open Science Principles:
Ensure that the AI policy developments process is transparent, with regular communication to the public.
Encourage the sharing of resources, tools, and data sets while ensuring privacy and ethical considerations.
Collaborative Framework Developments:
Establish an AI Advisory Team that meets monthly to advise district leadership on the AI Leadership and Literacy Initiative initially consisting of teachers and administrators, to include parents and students in the future.
Equip district leadership and the elected school board with timely resources and guidance for the development of policies and practices that address specific areas of AI such as ethics, privacy, curriculum integration, and infrastructure.
AI Highlights
AI enables new forms of interaction:
Students and teachers can speak, gesture, sketch, and use other natural human modes of communication to interact with a computational resource and each other
AI can generate human-like responses, as well. These new forms of action may provide supports to students with disabilities.
AI can help educators address variability in student learning:
With AI, designers can anticipate and address the long tail of variations in how students can successfully learn—whereas traditional curricular resources were designed to teach to the middle or most common learning pathways.
For example, AI-enabled educational technology may be deployed to adapt to each student’s English language abilities with greater support for the range of skills and needs among English learners.
AI supports powerful forms of adaptivity:
Conventional technologies adapt based upon the correctness of student answers
AI enables adapting to a student’s learning process as it unfolds step-by-step, not simply providing feedback on right or wrong answers.
Specific adaptations may enable students to continue strong progress in a curriculum by working with their strengths and working around obstacles.
Early Guidance Documents
Principles for the Future of AI in Education - Software and Information Industry Association
Bringing AI to School: Tips for School Leaders - ISTE, ASCD, NASSP, NAESP, and AASA
AI and the Future of Teaching & Learning - US DOE Office of Ed Tech & Digital Promise
Cybersecurity Framework - US DOC National Institute of Standards and Technology
K-12 GenAI Readiness Checklist - CoSN and Council of Great City Schools
Executive Order on Safe, Secure, & Trustworthy AI - The White House
Guidance on Student Privacy - US Department of Education
AI Guidance for Schools Toolkit - TeachAI