VIII. Appendices

Algorithmic bias: “Systematic, unwanted unfairness in how a computer detects patterns or automates decisions,” U.S. Department of Education, Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. Go to reference  often based on characteristics and identities such as age, class, culture, disability, ethnicity, gender, location, nationality, political affiliation, race, religious background and practices, and/or sexuality.

Artificial intelligence (AI): Machine-based systems designed around human-defined objectives to perform tasks that would otherwise require human or animal intelligence.

AI literacy: Understanding what it means to learn with and about AI while gaining specific knowledge about how artificial intelligence works, the skills necessary to master AI tools, and how to critically navigate the benefits and risks of this technology.

Data governance: A set of practices that ensures that data assets are formally managed throughout a system/enterprise and that define the roles, responsibilities, and processes for ensuring accountability for and ownership of data assets.

Deepfake: An AI-generated image, video, or audio file that convincingly replaces one person’s likeness and/or voice with another person’s.

Educators: People employed by an institution dedicated to pre-K–12 or higher education.

Generative AI: Artificial intelligence tools that generate text, images, videos, or other content based on existing data patterns and structures.

Machine learning: A branch of artificial intelligence that uses algorithms to enable computers to learn and make predictions by identifying patterns in data without being explicitly programmed.

Natural language: Language that has developed through human or animal interaction rather than being constructed, such as with computer code. AI systems that use natural language processing are able to understand this type of language.

Ransomware: When cybercriminals block access to an institution’s computer system until a ransom is paid.

Transparency: Open disclosure of how AI systems work, including how they reach decisions and the data used to do so.

• U.S. Department of Education, Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations.

U.S. Department of Education Resources

Office of Educational Technology, Artificial Intelligence

Office of Educational Technology, National Educational Technology Plan

General Resources

Common Sense Media, AI Product Reviews

Education International, The Unintended Consequences of Artificial Intelligence and Education

ISTE, Artificial Intelligence in Education

TeachAI, AI Guidance for Schools Toolkit

UNESCO, Artificial Intelligence in Education

Policy Resources

Digital Promise, Review of Guidance from Seven States on AI in Education

EDSAFE AI Alliance, SAFE Benchmarks Framework

European Commission, Ethical Guidelines on the Use of Artificial Intelligence (AI) and Data in Teaching and Learning for Educators

Institute for Ethical AI in Education, The Ethical Framework for AI in Education

TeachAI, Foundational Policy Ideas for AI in Education

Resources for Building Students’ AI Literacy

AI4K12 Initiative

Kapor Foundation, Responsible AI and Tech Justice: A Guide for K–12 Education

National AI Literacy Day, Curriculum Resources

University of Sydney, AI in Education Resources for Students, by Students

Resources for Building Educators’ AI Literacy

AI for Education 

Code.org, AI 101 for Teachers

Educator CIRCLS, AI in Education

metaLAB (at) Harvard, AI Pedagogy Project

Resources for Higher Education Faculty and Leaders

MIT Sloan, Generative AI for Teaching & Learning

MLA-CCCC, Joint Task Force on Writing and AI

Oregon State University, Faculty Support: AI Tools

University of North Carolina at Chapel Hill Writing Center, Generative AI in Academic Writing

Vanderbilt University Center for Teaching, Teaching in the Age of AI

Resources for Pre-K–12 School and District Leaders

ASCD, ISTE, NASSP, NAESP, and AASA, Bringing AI to School: Tips for School Leaders

Digital Promise, Educational Leadership in the Age of AI

EDSAFE AI Alliance, Consultancy Protocol for Building AI Capacity in Your School District

Chairperson

Noel Candelaria, Texas, Special Education Teacher, NEA Secretary-Treasurer

Executive Committee Liaisons

Ronald “Duff” Martin, Wis., Middle School Social Studies Teacher, NEA Executive Committee

Christine Sampson-Clark, N.J., Special Education Teacher, NEA Executive Committee

Members of the Task Force

Adam Aguilera, Wash., Middle School English Language Arts Teacher

Karen Beck, Calif., Professor of Psychology

Michael Carvella, Tenn., Curriculum & Technology Integration Coach

Donna Christy, Md., School Psychologist

Keith Gambill, Ind., Middle School Music and Drama Teacher, State Association President

Laurie Gibson-Parker, N.J., Middle School Math and Science Teacher, NEA Board of Directors

James Henderson III, Md., Education Support Professional, Information Technology

Tara Jeane, Calif., High School English Language Arts Teacher

Paula Johnson, Iowa, Virtual Middle and High School Special Education Teacher

Aaron Kubo, Hawaii, Middle School Social Studies Teacher, NEA Board of Directors

Linda Matsumoto, Ill., Paraeducator and Building Guest Educator

Gregory McColm, Fla., Associate Professor of Mathematics

Ellen Olsen, Minn., Education Support Professional, Paraeducator

William (Wil) Page, Calif., Middle School Teacher and Instructional Coach, NEA Board of Directors

Angela Powers, Kan., High School English Language Arts Teacher, NEA Board of Directors

Reed Scott-Schwalbach, Ore., High School Spanish Teacher, State Association President

Julie York, Maine, High School Computer Science Teacher

NEA Staff Liaisons

Daaiyah Bilal-Threats, Senior Director, Education Policy and Implementation Center (EPIC)

Stacey Pelika, Director, Research, Education Policy and Implementation Center (EPIC)

Andrea Prejean, Director, Teacher Quality, Center for Professional Excellence and Student Learning

Ann Nutter Coffman, Manager, Teacher Quality, Center for Professional Excellence and Student Learning

Elic Senter, Manager, Education Policy and Practice, Education Policy and Implementation Center (EPIC)

Lisa Zimmerman, Manager for Business Affairs, Education Policy and Implementation Center (EPIC)

Brandy Bixler, Teacher Quality, Center for Professional Excellence and Student Learning

Samuel Dunietz, Education Policy and Practice, Education Policy and Implementation Center (EPIC)

Brenda Halsey, Center for Governance

Kenneth Noble, Research, Education Policy and Implementation Center (EPIC)

Brittany Patrick, Education Policy and Practice, Education Policy and Implementation Center (EPIC)

Justin Thompson, Education Policy and Practice, Education Policy and Implementation Center (EPIC)

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