For the fourth year running, AAAI and ACM SIGAI jointly ran the popular AAAI/ACM SIGAI Job Fair. With the AAAI main conference increasing in the number of submissions, number of accepted papers, and attendance each year, one would expect the job fair to grow in turn; indeed, this year, we saw a growth on both fronts. This year, twenty-six companies formally attended---typically with a booth, team of recruiters, swag, and other representatives---increasing from twenty-one companies during the job fair's previous run in 2018. In turn, many hundreds of students, post-docs, and other job seekers either uploaded their resumes or CVs before the event, or uploaded their CVs after attending the event in person. Following this, as in previous years, those resumes and CVs were shared with participating companies. Those companies are listed below.
{"title":"AAAI/ACM SIGAI job fair 2019","authors":"Chris Amato, John P. Dickerson","doi":"10.1145/3320254.3320257","DOIUrl":"https://doi.org/10.1145/3320254.3320257","url":null,"abstract":"For the fourth year running, AAAI and ACM SIGAI jointly ran the popular AAAI/ACM SIGAI Job Fair. With the AAAI main conference increasing in the number of submissions, number of accepted papers, and attendance each year, one would expect the job fair to grow in turn; indeed, this year, we saw a growth on both fronts. This year, twenty-six companies formally attended---typically with a booth, team of recruiters, swag, and other representatives---increasing from twenty-one companies during the job fair's previous run in 2018. In turn, many hundreds of students, post-docs, and other job seekers either uploaded their resumes or CVs before the event, or uploaded their CVs after attending the event in person. Following this, as in previous years, those resumes and CVs were shared with participating companies. Those companies are listed below.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"5 1","pages":"5 - 6"},"PeriodicalIF":0.0,"publicationDate":"2019-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3320254.3320257","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49234508","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}
With the rapid pace of advancement in the field of artificial intelligence (AI), this essay aims to accentuate the importance of corrigibility in AI in order to stimulate and catalyze more effort and focus in this research area. We will first introduce the idea of corrigibility with its properties and describe the expected behavior for a corrigible AI. Afterwards, based on the established meaning of corrigibility, we will showcase the importance of corrigibility by going over some modern and near-futuristic examples that are specifically selected to be relatable and foreseeable. Then, we will explore existing methods of establishing corrigibility in agents and their respective limitations, using the reinforcement learning (RL) framework as a proxy framework to artificial general intelligence (AGI). At last, we will identify the central themes of potential research frontiers that we believe would be crucial to boosting quality research output in corrigibility.
{"title":"The necessary roadblock to artificial general intelligence: corrigibility","authors":"Y. Lo, Chung Yu Woo, Ka Lok Ng","doi":"10.1145/3362077.3362089","DOIUrl":"https://doi.org/10.1145/3362077.3362089","url":null,"abstract":"With the rapid pace of advancement in the field of artificial intelligence (AI), this essay aims to accentuate the importance of corrigibility in AI in order to stimulate and catalyze more effort and focus in this research area. We will first introduce the idea of corrigibility with its properties and describe the expected behavior for a corrigible AI. Afterwards, based on the established meaning of corrigibility, we will showcase the importance of corrigibility by going over some modern and near-futuristic examples that are specifically selected to be relatable and foreseeable. Then, we will explore existing methods of establishing corrigibility in agents and their respective limitations, using the reinforcement learning (RL) framework as a proxy framework to artificial general intelligence (AGI). At last, we will identify the central themes of potential research frontiers that we believe would be crucial to boosting quality research output in corrigibility.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"5 1","pages":"77-84"},"PeriodicalIF":0.0,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3362077.3362089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41576908","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 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/). Selected posts are summarized in issues of AI Matters.
AI Policy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/)。选定的员额载于《人工智能事项》。
{"title":"AI policy matters","authors":"L. Medsker","doi":"10.1145/3299758.3299765","DOIUrl":"https://doi.org/10.1145/3299758.3299765","url":null,"abstract":"AI Policy 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/). Selected posts are summarized in issues of AI Matters.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"16 - 18"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41893666","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 fourth issue of the fourth volume of the AI Matters Newsletter! Our biggest news is that we would like to extend a big welcome to our new co-editor! Iolanda Leite is an Assistant Professor at the School of Computer Science and Electrical Engineering at the KTH Royal Institute of Technology in Sweden. Iolanda is excited to join the AI Matters team and to help to continue to grow the newsletter for ACM SIGAI. She is also our guest for the interview this month so please go to our interview and learn more about our new co-editor!
{"title":"Welcome to AI matters 4(4)","authors":"A. McGovern, Iolanda Leite","doi":"10.1145/3299758.3299759","DOIUrl":"https://doi.org/10.1145/3299758.3299759","url":null,"abstract":"Welcome to the fourth issue of the fourth volume of the AI Matters Newsletter! Our biggest news is that we would like to extend a big welcome to our new co-editor! Iolanda Leite is an Assistant Professor at the School of Computer Science and Electrical Engineering at the KTH Royal Institute of Technology in Sweden. Iolanda is excited to join the AI Matters team and to help to continue to grow the newsletter for ACM SIGAI. She is also our guest for the interview this month so please go to our interview and learn more about our new co-editor!","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"3 - 4"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45994033","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}
This column is the seventh in our series profiling senior AI researchers. This month we are happy to interview Iolanda Leite, Assistant Professor at the School of Computer Science and Electrical Engineering at the KTH Royal Institute of Technology in Sweden. This is a great opportunity to get to know Iolanda, the new AI Matters co-editor in chief. Welcome on board!
{"title":"AI profiles","authors":"Marion Neumann","doi":"10.1145/3299758.3299761","DOIUrl":"https://doi.org/10.1145/3299758.3299761","url":null,"abstract":"This column is the seventh in our series profiling senior AI researchers. This month we are happy to interview Iolanda Leite, Assistant Professor at the School of Computer Science and Electrical Engineering at the KTH Royal Institute of Technology in Sweden. This is a great opportunity to get to know Iolanda, the new AI Matters co-editor in chief. Welcome on board!","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"7 - 8"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3299758.3299761","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43123555","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 Model AI Assignment, A Module on Ethical Thinking about Autonomous Vehicles in an AI Course, and more broadly introduce a conversation on ethics education in AI education.
{"title":"AI education matters","authors":"Heidi Furey, F. Martin","doi":"10.1145/3299758.3299764","DOIUrl":"https://doi.org/10.1145/3299758.3299764","url":null,"abstract":"In this column, we introduce our Model AI Assignment, A Module on Ethical Thinking about Autonomous Vehicles in an AI Course, and more broadly introduce a conversation on ethics education in AI education.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"13 - 15"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3299758.3299764","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47601965","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}
We began the discussion about the educational benefits to the general public of a standard AI Cosmology in Volume 4 Issue 2 of "AI Matters". But the mere notion of such a standard immediately raises lots of questions. In this column, we only focus on a very narrow set of those questions: First and foremost: Is there an AI Cosmology? If in fact the notion of cosmology applies to AI, is there only one valid AI Cosmology or are there competing valid cosmologies? If there is only one valid cosmology, what is its structure? How far can we take an AI Cosmology analogy? Like our Universe, did AI have the equivalent of a Big Bang? Is the field or structure of AI expanding or contracting? In an interview with Nikola Danaylov, podcaster of Singularity.FM, the late Marvin Minsky, one of the early AI pioneers, suggested that the evolution of AI in the 21st century maybe be contracting or even stalled! We posit that an AI Cosmology would help to educate the general public about our research and work, and its impact on society. Internally, it would help us to fix the objects, structure, and dynamics of the field. A standard cosmological model would help us all distinguish spurious AI mythos, pseudo science, hype, and fake news from the genuine article. A true cosmology of Artificial Intelligence would help us fix its origins, understand its trajectory, and predict its fate.
{"title":"Epochs of an AI cosmology","authors":"C. Hughes, Tracey Hughes","doi":"10.1145/3299758.3299868","DOIUrl":"https://doi.org/10.1145/3299758.3299868","url":null,"abstract":"We began the discussion about the educational benefits to the general public of a standard AI Cosmology in Volume 4 Issue 2 of \"AI Matters\". But the mere notion of such a standard immediately raises lots of questions. In this column, we only focus on a very narrow set of those questions: First and foremost: Is there an AI Cosmology? If in fact the notion of cosmology applies to AI, is there only one valid AI Cosmology or are there competing valid cosmologies? If there is only one valid cosmology, what is its structure? How far can we take an AI Cosmology analogy? Like our Universe, did AI have the equivalent of a Big Bang? Is the field or structure of AI expanding or contracting? In an interview with Nikola Danaylov, podcaster of Singularity.FM, the late Marvin Minsky, one of the early AI pioneers, suggested that the evolution of AI in the 21st century maybe be contracting or even stalled! We posit that an AI Cosmology would help to educate the general public about our research and work, and its impact on society. Internally, it would help us to fix the objects, structure, and dynamics of the field. A standard cosmological model would help us all distinguish spurious AI mythos, pseudo science, hype, and fake news from the genuine article. A true cosmology of Artificial Intelligence would help us fix its origins, understand its trajectory, and predict its fate.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"19 - 21"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41688940","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}
Humans, the most intelligent species on planet Earth, have always found a way to adapt to their dynamic environment and survive in a consistent manner. We have made tremendous progress in evolving from primitive men and women in small, dreary caves to modern men and women in large, bustling cities. Our passionate strive to survive and affinity to adapt is similar to that shown by mosquitoes; regardless of the continuous development and massive deployment of insect repellent products, these undeniably irking insects, which cause a plethora of life-threatening diseases, always make a striking comeback (Stanczyk, Brookfield, Field, & Logan, 2013).
{"title":"Artificial intelligence and jobs of the future","authors":"S. Sreeram","doi":"10.1145/3299758.3300060","DOIUrl":"https://doi.org/10.1145/3299758.3300060","url":null,"abstract":"Humans, the most intelligent species on planet Earth, have always found a way to adapt to their dynamic environment and survive in a consistent manner. We have made tremendous progress in evolving from primitive men and women in small, dreary caves to modern men and women in large, bustling cities. Our passionate strive to survive and affinity to adapt is similar to that shown by mosquitoes; regardless of the continuous development and massive deployment of insect repellent products, these undeniably irking insects, which cause a plethora of life-threatening diseases, always make a striking comeback (Stanczyk, Brookfield, Field, & Logan, 2013).","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"22 - 28"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3299758.3300060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45602308","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}
This section features brief reports from recent events sponsored or run in cooperation with ACM SIGAI.
本节介绍了与ACM SIGAI合作赞助或举办的近期活动的简要报告。
{"title":"Conference reports","authors":"Michael Rovatsos","doi":"10.1145/3299758.3299763","DOIUrl":"https://doi.org/10.1145/3299758.3299763","url":null,"abstract":"This section features brief reports from recent events sponsored or run in cooperation with ACM SIGAI.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"11 - 12"},"PeriodicalIF":0.0,"publicationDate":"2019-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44289924","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 article, we demonstrate an assignment1 in which students use TensorFlow to build a face recognition system. Students build shallow and deep neural networks for face recognition in TensorFlow and use transfer learning to obtain near-perfect performance on a simple face recognition task. Visualizing neural networks in order to explain how they work is central to the assignment.
{"title":"AI education matters: teaching with deep learning frameworks in introductory machine learning courses","authors":"Michael Guerzhoy","doi":"10.1145/3284751.3284756","DOIUrl":"https://doi.org/10.1145/3284751.3284756","url":null,"abstract":"In this article, we demonstrate an assignment1 in which students use TensorFlow to build a face recognition system. Students build shallow and deep neural networks for face recognition in TensorFlow and use transfer learning to obtain near-perfect performance on a simple face recognition task. Visualizing neural networks in order to explain how they work is central to the assignment.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"4 1","pages":"14-15"},"PeriodicalIF":0.0,"publicationDate":"2018-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3284751.3284756","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48304907","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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