Welcome to the last issue of this year's AI Matters Newsletter! We start with a report on upcoming SIGAI Events and Conference reports by Louise Dennis, our conference coordination officer. In our regular Education column, Todd Neller introduces the next AAAI/EAAI-2022 mentored undergraduate research challenge: AI-Assisted Game Design (AIAGD). We then bring you our regular Policy column, where Larry Medsker covers ongoing discussions on AI policy, this time with a special focus on Europe and the US. Finally, we close with two article contributions. The first article is by our former co-editor in chief Amy McGovern, about a newly established NSF-funded AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography that she now directs. The second paper discusses the very timely topic of ways that AI can aid students in post-secondary education.
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Natalina Martiniello, J. Asuncion, C. Fichten, M. Jorgensen, Alice Havel, M. Harvison, Anick Legault, Alexandrine Lussier, Christine Vo
AI-based apps can facilitate learning for all post-secondary students and may also be useful for students with disabilities. Here we share some reflections from discussions that took place during two advisory board meetings on the use of such apps for students with disabilities at the post-secondary level.
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This issue is smaller than usual as a reflection to the disruptions caused by the on-going COVID-19 pandemic on the scientific community. We open with a call for funding by SIGAI Executive Committe Chair, Sanmay Das, to support AI activities promoting outreach. In our regular articles, we provide an event report by Michael Albert and John P Dickerson on the AAAI/ACM SIGAI Job Fair. In the policy column, Larry Medsker and Farhana Faruqe cover a new series on AI and Bias on the Policy Matters Blog with a commentary on Bias, Fairness, and Discrimination in the context of AI, along with discussions on AI policy issues with respect to work and timeframe for AI impact. Another regular column is our AI crosswords from Adi Botea. We have one contributed article from Cameron Hughes and Tracey Hughes on what constitutes the essential ingredients for AI in a world where AI is increasingly pervading in every walk of life. Enjoy!
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ACM SIGAI invites funding proposals for artificial intelligence (AI) activities that can take place entirely virtually and that have a strong outreach component to students, researchers, practitioners not working on AI technologies, or to the public in general.
{"title":"ACM SIGAI activities fund 2020","authors":"SIGAI Executive Committee","doi":"10.1145/3402562.3402564","DOIUrl":"https://doi.org/10.1145/3402562.3402564","url":null,"abstract":"ACM SIGAI invites funding proposals for artificial intelligence (AI) activities that can take place entirely virtually and that have a strong outreach component to students, researchers, practitioners not working on AI technologies, or to the public in general.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"6 1","pages":"5 - 6"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3402562.3402564","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43577602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For the sixth year running, AAAI and ACM SIGAI jointly ran the popular AAAI/ACM SIGAI Job Fair. In lockstep with the growth of AAAI and the growth of the greater artificial intelligence and machine learning (AI/ML) community, our once-small job fair also grew. This year, thirty-eight companies and universities formally attended---typically with a booth, team of recruiters, swag, and other representatives---increasing from twenty-six companies during the job fair's previous run in 2019, and twenty-one companies in the year prior to that. Last year, we purchased a dedicated domain---https://aaaijobfair.com/---for the job fair. This year, we provided a link on that site through which job-seekers---students, postdocs, practitioners, and maybe even a few faculty---could upload their resumes or CVs. We then shared that data and contact information for slightly under four hundred job-seekers with participants on the other side: prospective employers.
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We have AI in our cars, in our mobile phones, and AI in our video games. We have AI in medicine, AI in the military applications, and AI in government agencies. It's getting harder to find an aspect of our daily lives that doesn't purport to have some kind of interaction with AI. We are relinquishing more of the personal and professional decision-making process to vestiges of evolving notions of AI. Not only are we starting to defer to AI for the decisionmaking process, we are subtly transferring the ultimate responsibility for the decisions and the consequences of those decisions to the AI. The public's acceptance and reliance on various aspects of AI is becoming normalized. One major problem with this scenario is that we as a society are unclear about what constitutes AI. Our social position on AI is: we may not be able to concisely or correctly define it, but we all know it when we see it, right? Clearly the integral part that AI has in our society makes this position untenable and we can and should do better with our definition.
{"title":"Towards AI ingredients","authors":"C. Hughes, Tracey Hughes","doi":"10.1145/3402562.3402567","DOIUrl":"https://doi.org/10.1145/3402562.3402567","url":null,"abstract":"We have AI in our cars, in our mobile phones, and AI in our video games. We have AI in medicine, AI in the military applications, and AI in government agencies. It's getting harder to find an aspect of our daily lives that doesn't purport to have some kind of interaction with AI. We are relinquishing more of the personal and professional decision-making process to vestiges of evolving notions of AI. Not only are we starting to defer to AI for the decisionmaking process, we are subtly transferring the ultimate responsibility for the decisions and the consequences of those decisions to the AI. The public's acceptance and reliance on various aspects of AI is becoming normalized. One major problem with this scenario is that we as a society are unclear about what constitutes AI. Our social position on AI is: we may not be able to concisely or correctly define it, but we all know it when we see it, right? Clearly the integral part that AI has in our society makes this position untenable and we can and should do better with our definition.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"6 1","pages":"13 - 17"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3402562.3402567","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44185495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AI Policy Matters is a regular column in AI Matters featuring summaries and commentary based on postings that appear twice a month in the AI Matters blog (https://sigai.acm.org/aimatters/blog/). We welcome everyone to make blog comments so we can develop a rich knowledge base of information and ideas representing the SIGAI members.
AI Policy Matters是AI Matters的一个常规专栏,根据每月两次出现在AI Matters博客上的帖子进行总结和评论(https://sigai.acm.org/aimatters/blog/)。我们欢迎大家发表博客评论,这样我们就可以开发一个丰富的信息和想法的知识库,代表SIGAI成员。
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NSF AI Institutes In 2019, the National Science Foundation (NSF) launched a new national investment in Artificial Intelligence (AI) to create a network of national AI institutes. Each institute will serve as a nexus of collaboration to create next-generation theory and applications of AI and to work synergistically with academia and industry. In the fall of 2020, NSF announced 5 new NSF AI institutes and 2 additional institutes funded by the United States Department of Agriculture (USDA) and the National Institute of Food and Agriculture (NIFA). Each institute is funded for approximately $20M over 5 years to make significant advances in foundational and applied AI research.
{"title":"NSF AI institute for research on trustworthy ai in weather, climate, and coastal oceanography","authors":"A. McGovern","doi":"10.1145/3446243.3446249","DOIUrl":"https://doi.org/10.1145/3446243.3446249","url":null,"abstract":"NSF AI Institutes In 2019, the National Science Foundation (NSF) launched a new national investment in Artificial Intelligence (AI) to create a network of national AI institutes. Each institute will serve as a nexus of collaboration to create next-generation theory and applications of AI and to work synergistically with academia and industry. In the fall of 2020, NSF announced 5 new NSF AI institutes and 2 additional institutes funded by the United States Department of Agriculture (USDA) and the National Institute of Food and Agriculture (NIFA). Each institute is funded for approximately $20M over 5 years to make significant advances in foundational and applied AI research.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"6 1","pages":"14 - 16"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3446243.3446249","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41628009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this column, we introduce the next AAAI/EAAI-2022 mentored undergraduate research challenge: AI-Assisted Game Design (AIAGD). We survey a number of AIAGD applications, provide references, and make suggestions for undergraduates to engage in this open-ended, creative research challenge.
{"title":"AI education matters","authors":"T. Neller","doi":"10.1145/3446243.3446247","DOIUrl":"https://doi.org/10.1145/3446243.3446247","url":null,"abstract":"In this column, we introduce the next AAAI/EAAI-2022 mentored undergraduate research challenge: AI-Assisted Game Design (AIAGD). We survey a number of AIAGD applications, provide references, and make suggestions for undergraduates to engage in this open-ended, creative research challenge.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"6 1","pages":"8 - 10"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3446243.3446247","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48638827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this column, we recount the history of EAAI mentored undergraduate research challenges from 2014 through the present and share a vision of how such offerings may become more diverse and engage a broader range of faculty mentors and undergraduate researchers. Unlike many academic disciplines, Computer Science undergraduate majors currently are not usually required to take or even offered a research methods course. Even so, many graduate schools desire to admit graduate students with undergraduate research experience. The EAAI Symposium has historically affirmed the value of mentored undergraduate research as an important part of undergraduate AI education. It has expressed this value through the support of a number of mentored undergraduate research challenges, described below.
{"title":"AI education matters","authors":"T. Neller","doi":"10.1145/3430581.3430586","DOIUrl":"https://doi.org/10.1145/3430581.3430586","url":null,"abstract":"In this column, we recount the history of EAAI mentored undergraduate research challenges from 2014 through the present and share a vision of how such offerings may become more diverse and engage a broader range of faculty mentors and undergraduate researchers. Unlike many academic disciplines, Computer Science undergraduate majors currently are not usually required to take or even offered a research methods course. Even so, many graduate schools desire to admit graduate students with undergraduate research experience. The EAAI Symposium has historically affirmed the value of mentored undergraduate research as an important part of undergraduate AI education. It has expressed this value through the support of a number of mentored undergraduate research challenges, described below.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"6 1","pages":"14 - 15"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3430581.3430586","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48250449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}