Conference: NSF Workshop: Expanding Capacity and Diversity in AI Education

人工智能(AI)正在迅速转变为一套多功能的工具，对个人、社会和经济产生深远影响。这个研讨会作为一个平台，就扩大人工智能教育计划和课程的范围的必要性交换意见。人工智能教育的扩展旨在增强学生掌握在人工智能领域从事职业所需的知识和技能的能力，同时促进人工智能教育的多样性和包容性。增加多样性的综合方法包括为从幼儿园到成人的所有年龄段的学习者提供人工智能教育中的包容性学习机会，并开发包含人工智能知识、技能、道德和负责任的利用的学习材料。人工智能教育研讨会将在北卡罗来纳大学夏洛特分校举行。它的目的是聚集人工智能教育领域的思想领袖，为人工智能教育课程制定和记录指导方针。研讨会讨论将考虑劳动力的能力和需求；关于如何引导努力和资源以提高未来人工智能专业人员和更具人工智能素养的劳动力的能力的指导方针；关于如何衡量和增加从事人工智能教育的人员的能力和多样性的指导方针。研讨会将包括关于三个主要主题的演讲：教育资源、培养毕业生的能力和衡量课程质量。除了这些演讲外，还将成立分组讨论小组，对特定主题进行集思广益。研讨会的成果将是一份关于讨论和建议的报告。它将详细介绍现有的教育资源，包括示范课程、概念清单和人工智能教育倡议，展示人工智能教学的现状。它将记录参与者对如何衡量机构培养拥有人工智能相关学位、认证和技能的毕业生的能力的见解。它将概述所讨论的衡量一所机构在人工智能教育方面的卓越程度的标准，特别关注它们在STEM领域吸引和留住不同学生群体的能力，包括女性、少数族裔和残疾个人。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Artificial Intelligence (AI) is rapidly transforming into a versatile set of tools with far-reaching implications for individuals, society, and the economy. This workshop serves as a platform for exchanging ideas on the imperative to expand the scope of educational programs and curricula in AI. The expansion of AI education aims to bolster the capacity to equip students with the knowledge and skills necessary for pursuing careers in AI while fostering diversity and inclusivity in AI education. A comprehensive approach to increasing diversity involves offering inclusive learning opportunities in AI education for learners of all ages, from kindergarten to adulthood, and developing learning materials that encompass AI knowledge, skills, ethics, and responsible utilization.The workshop on AI education will be held at the University of North Carolina at Charlotte. It aims to gather thought leaders in AI education to develop and document guidelines for AI education curricula. The workshop discussions will consider the competencies and needs of the workforce; guidelines on how to direct efforts and resources to increase the capacity for future AI professionals and a more AI literate workforce in general; guidelines on how to measure and increase capacity and diversity of people engaged in AI education. The workshop will be structured to include presentations on three main topics: educational resources, capacity to produce graduates, and measuring quality of programs. In addition to these presentations, breakout groups will be formed to brainstorm specific topics. The outcome of the workshop will be a report on discussions and recommendations. It will detail the existing educational resources, including model curricula, concept inventories, and AI education initiatives, illustrating the current landscape of AI instruction. It will document participants' insights about how to measure the capacity of institutions to produce graduates with AI-related degrees, certifications, and skills. It will outline the criteria discussed for measuring an institution's excellence in AI education, with a particular focus on their ability to attract and retain a diverse student population in STEM fields, including women, minorities, and individuals with disabilities.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.