Welcome to the first issue of AI Matters Newsletter in 2023. In this issue, Louise A. Dennis will summarize the achievement of recent conference sponsored or run in cooperation with ACM SIGAI. Dilini Samarasinghe's report will then highlight upcoming events relevant to the readers of AI Matters.
欢迎阅读2023年第一期《人工智能事务通讯》。在本期中,Louise A. Dennis将总结最近与ACM SIGAI合作主办或运行的会议的成果。Dilini Samarasinghe的报告将重点介绍与AI Matters读者相关的即将发生的事件。
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This section is compiled from reports of recent events sponsored or run in cooperation with ACM SIGAI. In general these reports were written and submitted by the conference organisers.
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This section features information about upcoming events relevant to the readers of AI Matters, including those supported by SIGAI. We would love to hear from you if you are are organizing an event and would be interested in cooperating with SIGAI.For more information about conference support visit sigai.acm.org/activities/requesting_sponsorship.html.
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This section is compiled from reports of recent events sponsored or run in cooperation with ACM SIGAI. In general these reports were written and submitted by the conference organisers.
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Welcome to the last issue of this year's AI Matters Newsletter. We will open this issue by a conference report by Louise Dennis. Dilini Samarasinghe will then summarize the upcoming events in the last month of 2022 and early months of 2023. We wish everyone a joyful end of year, and look forward to your continuing involvement in 2023!
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Welcome to the third issue of this year's AI Matters Newsletter. In this issue, we will summarize the achievement of SIGAI in the past year (June 1, 2021 - June 30, 2022). This annual report will highlight some of the many activities we have completed as a SIG, hoping to provide inspiration for members who wish to get more involved.
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Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, L. Medsker, Ziyu Yao, A. Karpatne, Alan Tsang, Matt Luckcuck
We are delighted to share our annual report with membership. This highlights some of the many activities we do as a SIG, and could provide some inspiration for members who wish to get more involved about the types of activities they could participate in or where they feel new initiatives might be most welcome. If you are interested in being more involved with SIGAI or have ideas for future initiatives, please reach out to any or all of the leadership team.
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Welcome to the second issue of this year's AI Matters Newsletter. We open with a conference report by Louise Dennis, followed by a summary of events happening during 2022-2023 by Dilini Samarasinghe. This third article is a collection of responses to blue sky questions about AI education from the AAAI/ACM SIGAI New and Future AI Educator Program. Finally, the last issue by Register et al. discusses the pillars of joy and justice for AI, Machine Learning, and Data Science education.
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Yim Register, Joseph William Tan Garcia, Nayan Kaushal, Dev Wilder, Xiaobing Xu
I always say to my students "you are going to be the future data science leaders of the world". Wherever they end up, I hope they apply critical (Cotter, 2020; Dasgupta & Hill, 2020) and human-centered (Xu, 2019) thinking to the AI decisions they make. As AI algorithms become ever more omnipresent in our lives - from newsfeed organization to product recommendations and beyond - it is our responsibility as educators to equip our students with the necessary tools to interrogate the impacts of AI technology. Luckily, there has been a large push for the integration of ethics into AI curricula. Whether this is in Model AI assignments (Furey & Martin, 2019) or entire conferences (such as FAccT), there is a demand for integrated and critical algorithmic literacies both in the classroom and outside of it. As a social media researcher and AI educator, my work regularly contends with two pillars: Joy and Justice. In this article I intend to outline ways of integrating both play and critical interrogation into AI education, with examples from AI education scholarship (Druga, Vu, Likhith, & Qiu, 2019; Ko et al., 2020) as well as a light experience report highlighting student work. My students join me on this article as they are the main inspiration for innovative joy and justice practices!
我总是对我的学生说“你们将成为未来世界数据科学的领导者”。无论他们最终走到哪里,我都希望他们将批判性思维(Cotter,2020;达斯古普塔和希尔,2020)和以人为中心的思维(Xu,2019)应用于他们做出的人工智能决策。随着人工智能算法在我们的生活中变得越来越普遍——从新闻推送组织到产品推荐等等——作为教育工作者,我们有责任为学生提供必要的工具,让他们了解人工智能技术的影响。幸运的是,人们大力推动将伦理纳入人工智能课程。无论是在模型人工智能作业中(Furey&Martin,2019)还是在整个会议中(如FAccT),课堂内外都需要综合和批判性的算法文本。作为一名社交媒体研究人员和人工智能教育家,我的工作经常与两大支柱争论:快乐和正义。在这篇文章中,我打算用人工智能教育奖学金的例子(Druga,Vu,Likhhit,&Qiu,2019;Ko et al.,2020)以及一份强调学生工作的轻松体验报告来概述将游戏和批判性审问融入人工智能教育的方法。我的学生们和我一起写这篇文章,因为他们是创新快乐和正义实践的主要灵感来源!
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Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan
The 12th Symposium on Educational Advances in Artificial Intelligence (EAAI-22, cochaired by Michael Guerzhoy and Marion Neumann) continued the AAAI/ACM SIGAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend a career in academia). As part of the program, awardees were asked to address one of the following "blue sky" questions: •How could/should AI courses incorporate AI Ethics into the curriculum? •How could we teach AI topics at an early undergraduate or a secondary school level? •AI has the potential for broad impact to numerous disciplines. How could we make AI education more interdisciplinary, specifically to benefit non-engineering fields? •How should standard AI courses evolve? •How could we leverage AI education to promote diversity in the field? This paper is a collection of their responses, intended to help motivate discussion around these issues in AI education.
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