AI mattersPub Date : 2023-09-01DOI: 10.1145/3626487.3626488
Ziyu Yao, Anuj Karpatne
{"title":"Welcome to AI Matters 9(3)","authors":"Ziyu Yao, Anuj Karpatne","doi":"10.1145/3626487.3626488","DOIUrl":"https://doi.org/10.1145/3626487.3626488","url":null,"abstract":"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 (July 1, 2022 --- August 30, 2023). 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. This issue will also highlight the \"AI Policy Matters\" column by Dr. Larry Medsker at George Washington University. In this column, Dr. Medsker summarized an update on the ACM US Technology Policy Committee (USTPC) and introduced the TechBrief series at ACM. We welcome blog comments from everyone! Finally, we will end the issue with a conference report by Dr. Louise A. Dennis.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735269","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 mattersPub Date : 2023-09-01DOI: 10.1145/3626487.3626490
Larry Medsker
{"title":"AI Policy Matters","authors":"Larry Medsker","doi":"10.1145/3626487.3626490","DOIUrl":"https://doi.org/10.1145/3626487.3626490","url":null,"abstract":"AI Policy Matters is a regular column in AI Matters featuring summaries and commentary based on postings that appear 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.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735270","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 mattersPub Date : 2023-09-01DOI: 10.1145/3626487.3626491
Louise A. Dennis
{"title":"Conference Reports","authors":"Louise A. Dennis","doi":"10.1145/3626487.3626491","DOIUrl":"https://doi.org/10.1145/3626487.3626491","url":null,"abstract":"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.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735268","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 mattersPub Date : 2023-09-01DOI: 10.1145/3626487.3626489
Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise Dennis, Larry Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
{"title":"SIGAI Annual Report: July 1 2022 --- August 30 2023","authors":"Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise Dennis, Larry Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck","doi":"10.1145/3626487.3626489","DOIUrl":"https://doi.org/10.1145/3626487.3626489","url":null,"abstract":"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.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135735273","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 mattersPub Date : 2023-06-01DOI: 10.1145/3609468.3609474
Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman K Singla, Alexi Orchard, Rajiv Ratn Shah
{"title":"EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program","authors":"Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman K Singla, Alexi Orchard, Rajiv Ratn Shah","doi":"10.1145/3609468.3609474","DOIUrl":"https://doi.org/10.1145/3609468.3609474","url":null,"abstract":"The 13th Symposium on Educational Advances in Artificial Intelligence (EAAI-23), co-chaired by Michael Guerzhoy, Marion Neumann, and Pat Virtue, continued the tradition of the AAAI/ACM SIGAI New and Future AI Educator (NFAIED) 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). This paper is a collection of the \"blue sky\" essays of the 2023 NFAIED awardees, intended to help motivate discussion around various current and important issues in AI education.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135145568","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 mattersPub Date : 2023-06-01DOI: 10.1145/3609468.3609471
Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra
{"title":"Emergence of Maps in the Memories of Blind Navigation Agents","authors":"Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra","doi":"10.1145/3609468.3609471","DOIUrl":"https://doi.org/10.1145/3609468.3609471","url":null,"abstract":"Decades of research into intelligent animal navigation posits that organisms build and maintain internal spatial representations (or maps) 1 of their environment, that enables the organism to determine and follow task-appropriate paths (Epstein, Patai, Julian, & Spiers, 2017; O'keefe & Nadel, 1978; Tollman, 1948). Hamsters, wolves, chimpanzees, and bats leverage prior exploration to determine and follow shortcuts they may never have taken before (Chapuis & Scardigli, 1993; Harten, Katz, Goldshtein, Handel, & Yovel, 2020; Menzel, 1973; Peters, 1976; Toledo et al., 2020). Even blind mole rats and animals rendered situationally-blind in dark environments demonstrate shortcut behaviors (Avni, Tzvaigrach, & Eilam, 2008; Kimchi, Etienne, & Terkel, 2004; Maaswinkel & Whishaw, 1999). Ants forage for food along meandering paths but take near-optimal return trips (Müller & Wehner, 1988), though there is some controversy about whether insects like ants and bees are capable of forming maps (Cheung et al., 2014; Cruse & Wehner, 2011).","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135145751","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 mattersPub Date : 2023-06-01DOI: 10.1145/3609468.3609473
Jiaman Li, C. Karen Liu, Jiajun Wu
{"title":"Ego-Body Pose Estimation via Ego-Head Pose Estimation","authors":"Jiaman Li, C. Karen Liu, Jiajun Wu","doi":"10.1145/3609468.3609473","DOIUrl":"https://doi.org/10.1145/3609468.3609473","url":null,"abstract":"Estimating 3D human motion from an ego-centric video, which records the environment viewed from the first-person perspective with a front-facing monocular camera, is critical to applications in VR/AR. However, naively learning a mapping between egocentric videos and full-body human motions is challenging for two reasons. First, modeling this complex relationship is difficult; unlike reconstruction motion from third-person videos, the human body is often out of view of an egocentric video. Second, learning this mapping requires a large-scale, diverse dataset containing paired egocentric videos and the corresponding 3D human poses. Creating such a dataset requires meticulous instrumentation for data acquisition, and unfortunately, such a dataset does not currently exist. As such, existing works have only worked on small-scale datasets with limited motion and scene diversity (yuan20183d; yuan2019ego; luo2021dynamics).","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135145567","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 mattersPub Date : 2023-06-01DOI: 10.1145/3609468.3609470
Louise A. Dennis
{"title":"Conference Reports","authors":"Louise A. Dennis","doi":"10.1145/3609468.3609470","DOIUrl":"https://doi.org/10.1145/3609468.3609470","url":null,"abstract":"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.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135145563","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}
{"title":"Causal Effect Estimation under Interference on Hypergraphs","authors":"Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan","doi":"10.1145/3609468.3609472","DOIUrl":"https://doi.org/10.1145/3609468.3609472","url":null,"abstract":"Hypergraphs offer a powerful abstraction for representing multi-way group interactions, allowing hyperedges to connect any number of nodes. In contrast to prevailing approaches that focus on capturing statistical dependencies, our research explores hypergraphs from a causal perspective. Specifically, we tackle the problem of estimating individual treatment effects (ITE) on hypergraphs, aiming to determine the causal impact of interventions (e.g., wearing face covering) on outcomes (e.g., COVID-19 infection) for each individual node. Existing ITE estimation methods either assume no interference between individuals or consider interference only among connected individuals in regular graphs. However, such assumptions may not hold in real-world hypergraphs. Recognizing this, we propose a novel causality learning framework HyperSCI by modeling high-order interference on hyper-graphs. Through extensive experiments on real-world hypergraphs, we validate the effectiveness of HyperSCI and highlight the potential of causal inference in hypergraphs with complex group interactions. 1","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135145564","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 mattersPub Date : 2023-06-01DOI: 10.1145/3609468.3609469
Ziyu Yao, Anuj Karpatne
{"title":"Welcome to AI Matters 9(2)","authors":"Ziyu Yao, Anuj Karpatne","doi":"10.1145/3609468.3609469","DOIUrl":"https://doi.org/10.1145/3609468.3609469","url":null,"abstract":"Welcome to the second issue of this year's AI Matters Newsletter. As usual, we will start the issue with a conference report by Louise A. Dennis. Following it, we are very excited to present three award-winning or candidacy papers by Wijmans et al. (ICLR 2023 Outstanding Paper), Ma et al. (SIGKDD 2022 Best Paper), and Li, Liu, and Wu (CVPR 2023, Award Candidate). The papers cover a range of intriguing topics, such as the formation of spatial memory in navigation agents, causal modeling with hypergraphs, and full-body motion estimation from egocentric videos. Finally, we end this issue by a collection of \"blue sky\" ideas presented in the AAAI/ACM SIGAI New and Future AI Educator Program at EAAI 2023, summarized by Guerzhoy et al.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135145566","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}
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