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In an era when “many priorities for improvements to teaching and learning are unmet,” artificial intelligence (AI) technologies hold past success and vast promise to enhance a learner’s educational experience, an educator’s success, and family involvement. For years, these technologies have helped to enable critical tools for personalized learning experiences and assistive technologies.
SIIA believes that the successful deployment of AI technologies in education must be done in a way that supports those who use it, protects innovation in the field, and addresses the risks associated with the development and use of these new tools. AI should replace neither the educator nor the learning experience. The Education Technology Industry’s Principles for the Future of AI in Education builds on experiences with and successes in using these technologies to advance educational objectives. These principles provide a framework for how we can look to the future of implementing AI technologies in a purpose-driven, transparent, and equitable manner.
From tutoring and test preparation to assessing learner performance to relatively simple tasks like checking the spelling and grammar of a document, AI technologies are and can have great impact on teaching and learning. Because of this and in order to realize AI’s promise, stakeholders must address and mitigate risks attendant to these technologies. These principles intend to guide the ed tech industry as the broader education community continues toward deploying these impactful technologies.
 U.S. Department of Education, Office of Educational Technology, Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations, Washington, DC, 2023. (https://www2.ed.gov/documents/ai-report/ai-report.pdf).
 Some areas where you may see AI in the classroom include personalized learning tools, augmented and virtual reality, automated grading, or assessment and analytics. For more examples, please visit our website at [AI PRINCIPLES ].
 AI in education refers to the tools used in teaching and learning inside and outside the four walls of a classroom. AI technologies may be used in the development or deployment of software used in an educational setting but are not part of the teaching and learning experience.
 This document refers to “educators” and that language is intended to be inclusive of all school personnel that may impact teaching and learning like classroom teachers, university professors, paraprofessionals, and administrators.
 This document refers to “families” and that language is intended to be inclusive of legal guardians and caregivers of minors.
 Artificial intelligence (AI) literacy refers to the knowledge, skills, and attitudes associated with how artificial intelligence works, including its principles, concepts, and applications, as well as how to use artificial intelligence, such as its implications, limitations, and ethical considerations. Foundational elements of AI include computer science, as well as data science, engineering, statistics, and psychology. AI education aims to equip individuals to engage productively and responsibly with AI technologies in society, the economy, and their personal lives.; Code.org, CoSN, Digital Promise, European EdTech Alliance, Larimore, J., and PACE (2023). AI Guidance for Schools Toolkit (Handout). Retrieved from teachai.org/toolkit Oct 24, 2023