Recent developments in Generative Artificial Intelligence (GenAI) have created a paradigm shift in multiple areas of society, and the use of these technologies is likely to become a defining feature of education in coming decades. GenAI offers transformative pedagogical opportunities, while simultaneously posing ethical and academic challenges. Against this backdrop, we outline a practical, simple, and sufficiently comprehensive tool to allow for the integration of GenAI tools into educational assessment: the AI Assessment Scale (AIAS). The AIAS empowers educators to select the appropriate level of GenAI usage in assessments based on the learning outcomes they seek to address. The AIAS offers greater clarity and transparency for students and educators, provides a fair and equitable policy tool for institutions to work with, and offers a nuanced approach which embraces the opportunities of GenAI while recognising that there are instances where such tools may not be pedagogically appropriate or necessary. By adopting a practical, flexible approach that can be implemented quickly, the AIAS can form a much-needed starting point to address the current uncertainty and anxiety regarding GenAI in education. As a secondary objective, we engage with the current literature and advocate for a refocused discourse on GenAI tools in education, one which foregrounds how technologies can help support and enhance teaching and learning, which contrasts with the current focus on GenAI as a facilitator of academic misconduct.

翻译：生成式人工智能（GenAI）的最新发展已在社会多个领域引发范式变革，这些技术的应用很可能成为未来数十年教育的标志性特征。GenAI在提供变革性教学机遇的同时，也带来了伦理与学术层面的挑战。在此背景下，我们提出一种实用、简洁且较为全面的工具，用于将GenAI工具整合到教育评估中：即AI评估量表。该量表赋能教育工作者根据其期望达成的学习成果，选择评估中GenAI使用的适当层级。AIAS为学生与教育工作者提供了更高的清晰度与透明度，为机构提供了公平且平等的政策工具，并形成一种兼顾GenAI机遇的精细化方法——同时承认在某些情境下此类工具可能不具教学适宜性或必要性。通过采用可快速实施的实用灵活方法，AIAS能够成为应对当前教育界对GenAI不确定性与焦虑情绪的迫切需要的起点。作为次要目标，我们结合现有文献，倡导重新聚焦关于教育中GenAI工具的讨论：这种讨论应突出技术如何支持与增强教学，而非当前将GenAI视为学术不端推手的焦点。