Nov 21, 2024
Promoting School-Level Accountability for the Responsible Deployment of AI and Related Systems in K-12 Education: Mitigating Bias and Increasing Transparency
Chloe Jefferson
🏆 1st place by peer review
This policy memorandum draws attention to the potential for bias and opaqueness in intelligent systems utilized in K–12 education, which can worsen inequality. The U.S. Department of Education is advised to put Title I and Title IV financing criteria into effect that require human oversight, AI training for teachers and students, and open communication with stakeholders. These steps are intended to encourage the responsible and transparent use of intelligent systems in education by enforcing accountability and taking reasonable action to prevent harm to students while research is conducted to identify industry best practices.
This memorandum offers a comprehensive and insightful analysis of the potential risks associated with AI in K-12 education, particularly regarding bias and opaqueness. The proposal's focus on equity and transparency is commendable. The recommendation to leverage Title I and Title IV funding to promote human oversight, AI training, and stakeholder engagement is a practical and effective approach. By aligning these measures with existing federal funding mechanisms, the proposal offers a realistic and scalable solution to mitigate the risks of AI in education. However, a more detailed analysis of the potential costs and funding mechanisms associated with the implementation of these recommendations would further strengthen the proposal.
This policy memorandum provides a thoughtful and well-rounded examination of the potential risks associated with bias and opaqueness in intelligent systems used in K–12 education. The concerns about exacerbating inequality are both relevant and timely. The recommendation to incorporate Title I and Title IV financing criteria, which include human oversight, AI training for teachers and students, and open communication with stakeholders, is a strong and practical approach. These measures promote the responsible and transparent use of intelligent systems, while ensuring accountability and taking proactive steps to prevent harm to students.
One of the strengths of this memorandum is its clear presentation of the suggested mitigations, thoughtfully considering both their benefits and limitations. While linking these solutions to federal funding mechanisms may not be entirely new, it is a strategy that has historically been effective in driving equity-focused initiatives within education. The proposed approach, therefore, offers a realistic and impactful way to encourage the responsible use of AI in educational settings, with a focus on protecting students’ interests.
Cite this work
@misc {
title={
Promoting School-Level Accountability for the Responsible Deployment of AI and Related Systems in K-12 Education: Mitigating Bias and Increasing Transparency
},
author={
Chloe Jefferson
},
date={
11/21/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
