Featured Resources

From Data Privacy to Discrimination: Examining the Legal Ramifications of AI in Schools

From Data Privacy to Discrimination: Examining the Legal Ramifications of AI in Schools April 2024 Morgan Sexton and Amelia Vance       CC BY-NC 4.0 Introduction The incorporation of artificial intelligence (AI) seems to be everywhere at the moment – and schools are no different! While using AI to improve systems and educational outcomes for students is an exciting prospect, it should be done carefully and with consideration for the legal landscape. AI in education is subject to a myriad of education, child privacy, consumer, and civil rights laws. We’ve created this brief to provide an overview of the […]

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K-12 Privacy Policy Guide: How to Quickly Spot Red Flags

The K-12 Privacy Policy Guide How to Quickly Spot Red Flags April 2024 Jessica Arciniega, Morgan Sexton, and Amelia Vance       CC BY-NC 4.0 Download the PDF Introduction Using technology in classrooms can transform the learning experience and provide immense benefits for both students and educators. But before it’s used, it is imperative to ensure that our students’ information and privacy are protected. One of the main steps to doing that is reviewing an app’s privacy policy before requesting approval to use it with your students. We understand that deciphering a privacy policy can be a hard task–privacy

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A Privacy Protective Path to Using Technology in Schools: Parental Consent is Not a Panacea

Parental Consent is Not a Panacea: A Privacy Protective Path to Using Technology in Schools December 2023 Katherine Kalpos, Morgan Sexton, and Amelia Vance       CC BY-NC 4.0 Introduction Data collection, use, and sharing are everywhere–and classrooms are no exception. Schools increasingly use a wide array of technologies for many different reasons, ranging from promoting student learning and success, to making data-informed decisions, and also operationalizing administrative tasks. When harnessed correctly with appropriate privacy protections in place, technology in schools can enhance teaching and learning in powerful ways. But there are also serious privacy risks to introducing technology

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Practical Considerations for AI & Integrated Data Systems: Implicit Bias

Practical Considerations for AI & Integrated Data Systems: Implicit Bias November 6, 2023 Morgan Sexton, Katherine Kalpos, and Amelia Vance There has been lots of hype recently around artificial intelligence (AI), including its magical promises and potential risks. While it may be tempting to get swept up in the potential around AI and incorporate it into Integrated Data Systems (IDSs) right away, it is crucial to understand that AI is only as good as the information fed into it and the soundness of the algorithms that it relies on. Additionally, the implementation of AI into IDSs can create significant ethical

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Student Privacy Primer

Student Privacy Primer Juliana Cotto, Edith Mandinach, Amelia Vance, Jim Siegl, Anisha Reddy, Tyler Park, and Jasmine Parks This primer explains the concepts of student data, including who uses the data and why they use it; data privacy in general; student data privacy; student data privacy risks and harms; how student data privacy relates to data ethics and data equity; key federal privacy laws; key district and school policies; and what it means to foster a culture of privacy. Each of these sections and a concluding section list additional resources to help education stakeholders learn more about student data privacy.

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Teaching privacy and ethical guardrails for the AI imperative in education

Teaching Privacy and Ethical Guardrails for The AI Imperative in Education Evan Selinger & Amelia Vance Originally published by the NSW Department of Education Future EDge, Issue 3 December 2020 Introduction In 1956 computer scientist John McCarthy coined the phrase ‘artificial intelligence’ (AI) to describe ‘the science and engineering of making intelligent machines’ (McCarthy, 2007). Over time, the term has evolved to cover a variety of technologies, including ones widely used in education, from plagiarism detectors to voice-activated virtual assistants leveraged to enhance campus information distribution and classroom pedagogy (Arizona State University, 2018). Contemporary AI discussions are about ‘a variety

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School Safety Measures Must Have Evidence, Be Specific, & Have Privacy and Equity Guardrails

This week’s newsletter focuses on a new report from Human Rights Watch. I decided to write it because this report joins many others from student privacy advocates that focus nearly exclusively on commercialization risks.

When student privacy reports focus again and again on advertising technology as the major threat to student privacy, stakeholders overlook other insidious privacy harms. The likely result of the report will be a series of articles about how student privacy is in crisis and there are not enough laws and companies are bad. That may draw attention to this issue, but it also means that other really important student privacy issues could fall by the wayside.

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The Policymaker’s Guide to Student Data Privacy

The Policymaker’s Guide to Student Data Privacy April 2019 Tyler Park, Sara Collins, and Amelia Vance Future of Privacy Forum       Shared Under Creative Commons License Table of Contents Add a header to begin generating the table of contents Download the PDF Introduction Schools have always collected a wide range of data—from enrollment information, to tracking student performance throughout the year, to health and disciplinary records—to allow teachers and school leaders to best serve every student. As all levels of education institutions take advantage of technology, such as vast libraries of resources, learning management systems, and tools that

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