The "Decoding AI" event was conducted online by ViSER for high school students and adults between Oct 10 to Oct 31, 2020 and was sponsored by ACM SIGAI . The proposal for the event was selected by ACM SIGAI from a pool of entries. It was advertised on different social media platforms and registration was available using Google forms and Eventbrite.
{"title":"Decoding AI","authors":"Vandana Srivastava","doi":"10.1145/3465074.3465083","DOIUrl":"https://doi.org/10.1145/3465074.3465083","url":null,"abstract":"The \"Decoding AI\" event was conducted online by ViSER for high school students and adults between Oct 10 to Oct 31, 2020 and was sponsored by ACM SIGAI . The proposal for the event was selected by ACM SIGAI from a pool of entries. It was advertised on different social media platforms and registration was available using Google forms and Eventbrite.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"35 - 35"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3465074.3465083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41705108","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 our two "unplugged" (i.e. no technology needed) Model AI Assignments: Introducing AI and Semantic Networks and Knowledge Representations. We also reflect on the potential benefits of unplugged activities for broadening access to AI-related learning experiences.
{"title":"Unplugged assignments for K-12 AI education","authors":"D. Long, Jonathan Moon, Brian Magerko","doi":"10.1145/3465074.3465078","DOIUrl":"https://doi.org/10.1145/3465074.3465078","url":null,"abstract":"In this column, we introduce our two \"unplugged\" (i.e. no technology needed) Model AI Assignments: Introducing AI and Semantic Networks and Knowledge Representations. We also reflect on the potential benefits of unplugged activities for broadening access to AI-related learning experiences.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"10 - 12"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3465074.3465078","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41981155","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的定期专栏，根据AI Matters博客(https://sigai.acm.org/aimatters/blog/)上每月两次的帖子进行总结和评论。我们欢迎每个人在博客上发表评论，这样我们就可以建立一个丰富的知识库，代表SIGAI成员的信息和想法。
{"title":"AI policy matters","authors":"L. Medsker","doi":"10.1145/3465074.3465079","DOIUrl":"https://doi.org/10.1145/3465074.3465079","url":null,"abstract":"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.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"13 - 17"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44390397","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}
The Fourth Workshop on Mechanism Design for Social Good was held virtually in August 2020, with a focus on work bridging research and policy. This article represents the experience of the chairs and discusses novel conference-organizing practices aimed at promoting multi-disciplinary research for social good and increasing racial, linguistic, and geographic diversity and inclusion.
{"title":"Novel practices and highlights from the Fourth Workshop on Mechanism Design for Social Good","authors":"Francisco Javier Marmolejo-Cossío, F. Monachou","doi":"10.1145/3465074.3465082","DOIUrl":"https://doi.org/10.1145/3465074.3465082","url":null,"abstract":"The Fourth Workshop on Mechanism Design for Social Good was held virtually in August 2020, with a focus on work bridging research and policy. This article represents the experience of the chairs and discusses novel conference-organizing practices aimed at promoting multi-disciplinary research for social good and increasing racial, linguistic, and geographic diversity and inclusion.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"26 - 34"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3465074.3465082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41854728","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}
Welcome to the first issue of this year's AI Matters Newsletter! We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officers. In our regular Education column, Duri Long, Jonathan Moon, and Brian Magerko introduce two "unplugged" activities (i.e., no technology needed) to learn about AI focussed on K-12 AI Education. We then bring you our regular Policy column, where Larry Medsker covers several topics on AI policy, including the role of Big Tech on AI Ethics and an interview with Dr. Eric Daimler who is the CEO of the MIT-spinout Conexus.com. Finally, we close with four article contributions. The first article discusses emerging applications of AI in analyzing source code and its implications to several industries. The second article discusses topics in the area of physical scene understanding that are necessary for machines to perceive, interact, and reason about the physical world. The third article presents novel practices and highlights from the Fourth Workshop on Mechanism Design for Social Good. The fourth article provides a report on the "Decoding AI" event that was conducted online by ViSER for high school students and adults sponsored by ACM SIGAI.
{"title":"Welcome to AI Matters 7(1)","authors":"Iolanda Leite, A. Karpatne","doi":"10.1145/3465074.3465075","DOIUrl":"https://doi.org/10.1145/3465074.3465075","url":null,"abstract":"Welcome to the first issue of this year's AI Matters Newsletter! We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officers. In our regular Education column, Duri Long, Jonathan Moon, and Brian Magerko introduce two \"unplugged\" activities (i.e., no technology needed) to learn about AI focussed on K-12 AI Education. We then bring you our regular Policy column, where Larry Medsker covers several topics on AI policy, including the role of Big Tech on AI Ethics and an interview with Dr. Eric Daimler who is the CEO of the MIT-spinout Conexus.com. Finally, we close with four article contributions. The first article discusses emerging applications of AI in analyzing source code and its implications to several industries. The second article discusses topics in the area of physical scene understanding that are necessary for machines to perceive, interact, and reason about the physical world. The third article presents novel practices and highlights from the Fourth Workshop on Mechanism Design for Social Good. The fourth article provides a report on the \"Decoding AI\" event that was conducted online by ViSER for high school students and adults sponsored by ACM SIGAI.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":" ","pages":"4 - 4"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3465074.3465075","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43204317","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}
The marriage of Artificial Intelligence (AI) techniques to problems surrounding the generation, maintenance, and use of source code has come to the fore in recent years as an important AI application area1. A large chunk of this recent attention can be attributed to contemporaneous advancements in Natural Language Processing (NLP) techniques and sub-fields. The naturalness hypothesis, which states that "software is a form of human communication" and that code exhibits patterns that are similar to (human) natural languages (Devanbu, 2015; Hindle, Barr, Gabel, Su, & Devanbu, 2016), has allowed for the application of many of these NLP advances to code-centric usecases. This development has contributed to a spate of work in the community --- much of it captured in a survey by Allamanis, Barr, Devanbu, and Sutton (2018) that focuses on classifying these approaches by the type of probabilistic model applied to source code. This increase in the variety of AI techniques applied to source code has found various manifestations in the industry at large. Code and software form the backbone that underpins almost all modern technical advancements: it is thus natural that breakthroughs in this area should reflect in the emergence of real world deployments.
{"title":"Applied AI matters: AI4Code","authors":"Kartik Talamadupula","doi":"10.1145/3465074.3465080","DOIUrl":"https://doi.org/10.1145/3465074.3465080","url":null,"abstract":"The marriage of Artificial Intelligence (AI) techniques to problems surrounding the generation, maintenance, and use of source code has come to the fore in recent years as an important AI application area1. A large chunk of this recent attention can be attributed to contemporaneous advancements in Natural Language Processing (NLP) techniques and sub-fields. The naturalness hypothesis, which states that \"software is a form of human communication\" and that code exhibits patterns that are similar to (human) natural languages (Devanbu, 2015; Hindle, Barr, Gabel, Su, & Devanbu, 2016), has allowed for the application of many of these NLP advances to code-centric usecases. This development has contributed to a spate of work in the community --- much of it captured in a survey by Allamanis, Barr, Devanbu, and Sutton (2018) that focuses on classifying these approaches by the type of probabilistic model applied to source code. This increase in the variety of AI techniques applied to source code has found various manifestations in the industry at large. Code and software form the backbone that underpins almost all modern technical advancements: it is thus natural that breakthroughs in this area should reflect in the emergence of real world deployments.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":" ","pages":"18 - 20"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3465074.3465080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47488434","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}
I am fascinated by how rich and flexible human intelligence is. From a quick glance at the scenes in Figure 1A, we effortlessly recognize the 3D geometry and texture of the objects within, reason about how they support each other, and when they move, track and predict their trajectories. Stacking blocks, picking up fruits---we also plan and interact with scenes and objects in many ways.
{"title":"Learning to see the physical world","authors":"Jiajun Wu","doi":"10.1145/3465074.3465081","DOIUrl":"https://doi.org/10.1145/3465074.3465081","url":null,"abstract":"I am fascinated by how rich and flexible human intelligence is. From a quick glance at the scenes in Figure 1A, we effortlessly recognize the 3D geometry and texture of the objects within, reason about how they support each other, and when they move, track and predict their trajectories. Stacking blocks, picking up fruits---we also plan and interact with scenes and objects in many ways.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"21 - 24"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3465074.3465081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49164631","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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This column raises the question, as we begin to emerge from COVID 19, what is the role of the field of AI in this emerging reality? We specifically consider this in the face of tremendous learning loss and widening achievement gaps. In this wake, what specifically is the role of AI in the future of education as we move forward? This question bridges the worlds of basic research and the seemingly distant worlds of policy and practice.
{"title":"Enlichenment","authors":"C. Rosé","doi":"10.1145/3478369.3478373","DOIUrl":"https://doi.org/10.1145/3478369.3478373","url":null,"abstract":"This column raises the question, as we begin to emerge from COVID 19, what is the role of the field of AI in this emerging reality? We specifically consider this in the face of tremendous learning loss and widening achievement gaps. In this wake, what specifically is the role of AI in the future of education as we move forward? This question bridges the worlds of basic research and the seemingly distant worlds of policy and practice.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"10 - 11"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44809038","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}
Welcome to the second issue of this year's AI Matters Newsletter. We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officer. In our regular Education column, Carolyn Rosé discusses the role of AI in education in a post-pandemic reality. We then bring you our regular Policy column, where Larry Medsker covers interesting and timely discussions on AI policy, for example whether governments should play a role in reducing algorithmic bias. This issue closes with an article contribution from Li Dong, one of the runner-ups in the latest AAIS/SIGAI dissertation award, on the use neural models to build natural language interfaces.
{"title":"Welcome to AI Matters 7(2)","authors":"Iolanda Leite, A. Karpatne","doi":"10.1145/3478369.3478370","DOIUrl":"https://doi.org/10.1145/3478369.3478370","url":null,"abstract":"Welcome to the second issue of this year's AI Matters Newsletter. We start with a report on upcoming SIGAI Events by Dilini Samarasinghe and Conference reports by Louise Dennis, our conference coordination officer. In our regular Education column, Carolyn Rosé discusses the role of AI in education in a post-pandemic reality. We then bring you our regular Policy column, where Larry Medsker covers interesting and timely discussions on AI policy, for example whether governments should play a role in reducing algorithmic bias. This issue closes with an article contribution from Li Dong, one of the runner-ups in the latest AAIS/SIGAI dissertation award, on the use neural models to build natural language interfaces.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"7 1","pages":"3 - 4"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46186194","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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