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Responsible AI Principles

Pear Deck Learning and AI

As artificial intelligence (AI) continues to make its mark on the educational landscape, Pear Deck Learning aims to be at the forefront of creating trustworthy AI-powered solutions for schools. At the core of our mission lies a profound belief in the transformative capabilities of such technology and the crucial role it plays in education. This belief also comes with a dedication to and understanding of responsibility toward the students, teachers, and districts who trust us with their digital learning experiences. 

student taking notes at a desk.

Pear Deck Learning strives to implement responsible AI using these guiding principles:

Purpose Driven

Our AI-powered educational tools are designed with a clear purpose: we aim to enhance personalized learning experiences that empower all students to reach their full potential. We ensure that our AI systems are thoughtfully aligned with educational objectives and educators’ needs while prioritizing student success and well-being.

Privacy Focused

Our AI-powered education tools are built with privacy-by-design principles: we integrate privacy and data protection considerations into every stage of AI development and deployment. We use comprehensive anonymization techniques, data minimization practices, and secure data storage and processing methods to protect student data and privacy.


Our AI-powered education tools are developed with efficacy at their core: we support teachers in delivering engaging and differentiated instruction and help boost student outcomes across the learning journey. We strive to meet the evolving needs of all learners by combining real-time data, educator feedback, technical expertise, and insights from our team of learning experts.


Our AI-powered educational tools are deployed with intentional transparency: we explain how our AI-powered tools work and the data they process. We aim to build trust in our AI by providing clear and accessible explanations to students, parents, and educators about how AI works to improve the educational experience.


Our AI-powered educational tools are reviewed for potential biases: we examine our tools for potential bias in order to uphold our commitment to advancing inclusivity, diversity, and equity in educational outcomes for all students. We consider all stages of the AI development cycle in order to mitigate bias across multiple dimensions of difference.


Our AI-powered education tools are monitored for consistent and predictable behavior: we establish standardized metrics that enable us to compare and assess how our AI models are performing. We continuously track system performance and collect feedback from users, allowing us to make timely adjustments to our models.


Our accountability has been modeled after the National Institute for Science and Technology (NIST) framework for AI Risk Management. We intentionally map our AI systems, measure their impact, and manage potential risks through a comprehensive and cross-functional AI governance process.

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