Towards Embedding Responsible AI in the School System: Co-Creation with Young People

将负责任的人工智能嵌入学校系统：与年轻人共同创造

• 批准号: AH/Z505560/1
• 负责人: Judy Robertson
• 金额: $ 34.56万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FZ505560%2F1
• 关键词: Towards; Embedding; Responsible; AI; System

Recent advances in Generative Artificial Intelligence (GenAI) have the potential to transform education, from reactive tweaks in assessment practices to fundamental philosophical debates about what we should value in the education of humans in an age of (currently narrow) machine intelligence. Though it is still early, the implications for learning in an age of pervasive use of GenAI are significant: issues of accountability; accuracy; and inclusion need addressing. that young people (YP) have a voice in how AI could and should be used in their education. Responsible AI requires meaningful engagement with stakeholders, including YP, who have the right to be consulted about the systems which affect their lives. The project will bridge the divide between principles of explainability, fairness and privacy as they apply to educational AI, and the values, hopes and concerns of YP when faced with emerging technologies whose implications are not yet fully understood. It will produce recommendations for educational policy and visions for educational practice that are grounded in lively, specific and meaningful engagements with YP as key stakeholders in education.The three aims of this project are to:Develop a picture of what responsible GenAI could look like within secondary school education.Develop and test imaginative, speculative and participatory methods for generating meaningful insights into YP's perspectives on emerging AI technologies, testing these methods in two distinct educational contexts and providing a strong methodological foundation for a BRAID demonstrator project focusing on YP and education.Produce recommendations for policymakers, educators and technology developers about what YP consider to be important considerations for including GenAI in school learning and assessment, and how GenAI literacy should be fostered. To achieve these aims, the project will:Interview academics, key government and local government and educational technology (EdTech) companies, to map how AI and data are currently used in the Scottish school system and document upcoming plans for changes and possible future developments.Create educational materials to develop learners' GenAI literacy, containing clear and accessible visual summaries of how AI and data are currently used in schools and key emerging ideas about GenAI in educational contexts.Work with groups of YP to understand their ideas about possible, desirable, acceptable future uses of GenAI in education (including barriers and opportunities), using creative, speculative, design-based and story-based methodologies.Disseminate initial recommendations for the responsible use of AI in secondary schools for policymakers, educators and technology developers.We will engage with a network of educational stakeholders in a way which rebalances the power and interests of current actors. While the power to make decisions about AI and data usage in education currently lies with government and local government, our work will make current practices visible and salient to learners in an accessible way, so that they can express informed preferences about responsible uses of such technology in the future. This will lead to action-guiding recommendations for responsible AI in school education, which can be expanded and enacted in later stages of the BRAID programme.

生成人工智能（GenAI）的最新进展有可能改变教育，从评估实践的反应性调整到关于在机器智能时代（目前狭隘的）人类教育中我们应该重视什么的基本哲学辩论。虽然现在还为时过早，但在 GenAI 普遍使用的时代，对学习的影响是重大的：问责制问题；准确性;和包容性需要解决。年轻人（YP）对于人工智能如何以及应该如何应用于他们的教育有发言权。负责任的人工智能需要与包括 YP 在内的利益相关者进行有意义的接触，他们有权就影响他们生活的系统进行咨询。该项目将弥合适用于教育人工智能的可解释性、公平性和隐私原则与 YP 在面对其影响尚未完全理解的新兴技术时的价值观、希望和担忧之间的分歧。它将为教育政策和教育实践愿景提出建议，这些建议以 YP 作为教育主要利益相关者的生动、具体和有意义的参与为基础。该项目的三个目标是：描绘出负责任的 GenAI 的样子开发和测试富有想象力、思辨性和参与性的方法，以便对 YP 对新兴人工智能技术的观点产生有意义的见解，在两种不同的教育背景下测试这些方法，并为专注于以下方面的 BRAID 演示项目提供坚实的方法基础： YP 和教育。为政策制定者、教育工作者和技术开发人员提出建议，说明 YP 认为将 GenAI 纳入学校学习和评估的重要考虑因素，以及如何培养 GenAI 素养。为了实现这些目标，该项目将：采访学者、主要政府和地方政府以及教育技术 (EdTech) 公司，了解苏格兰学校系统目前如何使用人工智能和数据，并记录即将到来的变革计划和未来可能的发展。创建教育材料来培养学习者的 GenAI 素养，其中包含关于当前如何在学校中使用人工智能和数据的清晰易懂的视觉摘要，以及教育环境中有关 GenAI 的关键新兴想法。与 YP 小组合作，了解他们关于可能的、理想的、可接受的未来用途使用创造性、推测性、基于设计和基于故事的方法，研究 GenAI 在教育中的应用（包括障碍和机遇）。向政策制定者、教育工作者和技术开发人员传播关于在中学负责任地使用人工智能的初步建议。我们将与教育利益相关者网络，以重新平衡当前参与者的权力和利益的方式。虽然目前关于教育中人工智能和数据使用的决策权属于政府和地方政府，但我们的工作将以一种易于理解的方式让学习者了解当前的实践，以便他们能够表达关于负责任地使用此类技术的知情偏好将来。这将产生学校教育中负责任的人工智能的行动指导建议，这些建议可以在 BRAID 计划的后期阶段得到扩展和实施。