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Our Commitments to Responsible AI Practices
At ASSISTments, we’re actively incorporating Artificial Intelligence (AI) to amplify teacher insight, deepen student learning, and make math practice smarter, more responsive, and more equitable.
Our approach is simple: AI provides insight, teachers drive action.
As we introduce new AI features, we’ll stay transparent about how they’re built, tested, and improved, and we’ll keep teachers and district partners involved at every step. We will follow a clear set of commitments that guide the development, testing, and scaling of each feature.
Evidence-Based
ASSISTments looks to research and prior evidence to guide our work. We aim to test and validate impact through pilot studies, A/B tests, and impact research to ensure features support learning and promote engagement.
Reliable & Fair
We train on data sets that reflect the diversity of learners we serve, monitor our AI systems for potential biases, and design keeping our most marginalized learners in mind. Through the AI development cycle we evaluate our systems for accuracy and reliability.
Explainable & Transparent
We design AI features to be explainable, not black boxes. We clearly explain how the features work and how outputs are generated.
Protects Privacy
ASSISTments complies fully with FERPA and COPPA, enforces strict security standards when working with trusted third-party providers. We use comprehensive anonymization techniques and data minimization practices to protect privacy.
Usable
We’re committed to performing deep qualitative research—classroom observations, interviews, and co-design sessions—to ensure our AI tools fit seamlessly into teachers’ daily practice and genuinely help them save time and support learning.
What We’re Learning
We study every AI feature before it’s released, capturing what we learn through classroom pilots and research collaborations. Our Learning Briefs series will share these findings openly, detailing the questions we set out to answer, the methods and data used, and the key insights that guide our next steps. By publishing these briefs, we make our research and development process transparent for funders, researchers, and districts alike.
Sign up below to be notified on the release of our first Learning Brief.
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