RAPID: Responsible, Ethical, and Effective Acceptable Use Policies for the Integration of Generative AI in US School Districts and Beyond

RAPID：在美国学区及其他地区集成生成式人工智能的负责任、道德和有效的可接受使用政策

• 批准号: 2334525
• 负责人: Patricia Ruiz
• 金额: $ 17.73万
• 依托单位: Digital Promise Global
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334525&HistoricalAwards=false
• 关键词: RAPID; Responsible; Ethical; Effective; Acceptable

The rapidly evolving space of artificial intelligence (AI) is requiring school and district leaders to make sense of how emerging technology applications, including those that use generative AI (GenAI), are being integrated in schools and districts across the United States. Much uncertainty exists about what GenAI is, how it works, and what the implications are for students, families, educators, and the broader school community. School and district leaders have shared challenges that they are facing regarding the use of AI for teaching and learning, including concerns around issues of privacy, data security, and bias. They are also concerned about existing inequities in accessing digital technologies and tools, and that this disparity could present further structural barriers for students and communities. To address the need for policies, guidelines, and guardrails, this project will recruit and convene a GenAI Working Group made up of school and district leaders that represent diverse identities and district demographics.The GenAI Working Group, in collaboration with a Digital Promise team and subject matter experts, will work to answer the following research questions: (1) What tensions do leaders experience when adapting acceptable use policies (AUPs) for emerging technologies such as GenAI? (2) What do acceptable use policies that are "ethical, responsible, and effective" look like? (3) How can districts develop policies that allow for learning to advance while protecting and centering human agency? This project will be both informative to the research field and have direct broad impacts via AUPs for districts and schools. The GenAI Working Group will: (1) write, adapt, and share a set of sample GenAI AUPs for a range of district contexts; (2) work with others at their districts to write and share their own district's AUPs for the responsible, ethical, and effective integration of GenAI; and (3) participate in a final public webinar where they will share what they learned about GenAI and their policies. This proposal was received in response to the Dear Colleague Letter (DCL): Rapidly Accelerating Research on Artificial Intelligence in K-12 Education in Formal and Informal Settings (NSF 23-097) and funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

快速发展的人工智能 (AI) 领域要求学校和地区领导者了解新兴技术应用程序（包括使用生成式人工智能 (GenAI) 的技术应用程序）如何融入美国各地的学校和地区。 GenAI 是什么、它如何运作以及对学生、家庭、教育工作者和更广泛的学校社区的影响存在很多不确定性。学校和学区领导分享了他们在使用人工智能进行教学和学习方面面临的挑战，包括对隐私、数据安全和偏见问题的担忧。他们还担心在获取数字技术和工具方面存在的不平等，这种差异可能会给学生和社区带来进一步的结构性障碍。为了满足政策、指导方针和护栏的需求，该项目将招募并召集一个由代表不同身份和地区人口统计数据的学校和地区领导人组成的 GenAI 工作组。GenAI 工作组与数字承诺团队合作，主题专家将努力回答以下研究问题：（1）领导者在为 GenAI 等新兴技术调整可接受的使用政策（AUP）时会遇到哪些紧张局势？ (2) “道德、负责任和有效”的可接受的使用政策是什么样的？ (3) 各地区如何制定允许学习进步的政策，同时保护和集中人类能动性？该项目将为研究领域提供丰富的信息，并通过 AUP 对学区和学校产生直接广泛的影响。 GenAI 工作组将： (1) 为一系列地区环境编写、改编和共享一组 GenAI AUP 样本； (2) 与所在学区的其他人合作，编写并分享其所在学区的 AUP，以负责任、合乎道德且有效的方式整合 GenAI； (3) 参加最终的公开网络研讨会，他们将在会上分享他们对 GenAI 及其政策的了解。该提案是为了回应《亲爱的同事来信》(DCL)：在正式和非正式环境中快速加速 K-12 教育中的人工智能研究 (NSF 23-097)，并由学生和教师创新技术体验 (ITEST) 资助）计划，支持加深对实践、计划要素、背景和流程的理解的项目，有助于增加学生对科学、技术、工程和数学 (STEM) 以及信息和通信技术的知识和兴趣(ICT) 职业。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。