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The scales of (algorithmic) justice (算法)公正的尺度
Pub Date : 2019-08-05 DOI: 10.1145/3340470.3340478
M. Sun, Marissa Gerchick
Every day, governmental and federally funded agencies --- including criminal courts, welfare agencies, and educational institutions --- make decisions about resource allocation using automated decision-making tools (Lecher, 2018; Fishel, Flack, & DeMatteo, 2018). Important factors surrounding the use of these tools are embedded both in their design and in the policies and practices of the various agencies that implement them. As the use of such tools is becoming more common, a number of questions have arisen about whether using these tools is fair, or in some cases, even legal (K.W. v. Armstrong, 2015; ACLU, Outten & Golden LLP, and the Communications Workers of America, 2019).
每天,政府和联邦资助的机构——包括刑事法院、福利机构和教育机构——都会使用自动化决策工具做出资源分配的决定(Lecher,2018;Fishel、Flack和DeMatteo,2018)。这些工具的设计以及执行这些工具的各个机构的政策和做法都包含了使用这些工具的重要因素。随着此类工具的使用越来越普遍,人们对使用这些工具是否公平,或者在某些情况下是否合法产生了许多问题(K.W.v.Armstrong,2015;美国公民自由联盟、Outten&Golden LLP和美国通信工作者协会,2019)。
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引用次数: 4
AI profiles AI配置文件
Pub Date : 2019-08-05 DOI: 10.1145/3340470.3340472
Marion Neumann
Welcome to the eighth interview profiling a senior AI researcher. This time we will hear from Leslie Kaelbling, Panasonic Professor of Computer Science and Engineering in the Department of Electrical Engineering and Computer Science at MIT.
欢迎收看第八期人工智能高级研究员访谈。这一次,我们将听取麻省理工学院电气工程与计算机科学系松下计算机科学与工程教授Leslie Kaelbling的演讲。
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引用次数: 0
Learning natural language interfaces with neural models 使用神经模型学习自然语言界面
Pub Date : 2019-07-01 DOI: 10.1145/3478369.3478375
Li Dong
Language is the primary and most natural means of communication for humans. The learning curve of interacting with various services (e.g., digital assistants, and smart appliances) would be greatly reduced if we could talk to machines using human language. However, in most cases computers can only interpret and execute formal languages.
语言是人类最主要也是最自然的交流方式。如果我们能够使用人类语言与机器交谈,那么与各种服务(如数字助理和智能电器)交互的学习曲线将大大缩短。然而,在大多数情况下,计算机只能解释和执行形式语言。
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引用次数: 1
AI policy matters 人工智能政策事项
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320262
L. Medsker
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》。
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引用次数: 0
Welcome to AI matters 5(1) 欢迎来到AI事务5(1)
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320255
A. McGovern, Iolanda Leite
Welcome to the first issue of the fifth volume of the AI Matters Newsletter! This issue opens with some news on a new SIGAI Student Travel Scholarship where we aim to encourage students from traditionally underrepresented geographic locations to apply and attend SIGAI supported events. We also summarize the fourth AAAI/ACM SIGAI Job Fair, which continues to grow with the increasing popularity of AI. In our interview series, Marion Neumann interviews Tom Dietterich, an Emeritus Professor at Oregon State University and one of the pioneers in Machine Learning.
欢迎阅读《人工智能通讯》第五卷第一期!这一期以新的SIGAI学生旅游奖学金的一些新闻开始,我们的目标是鼓励来自传统上代表性不足的地理位置的学生申请并参加SIGAI支持的活动。我们还总结了第四届AAAI/ACM SIGAI招聘会,该招聘会随着人工智能的日益普及而不断增长。在我们的访谈系列中,Marion Neumann采访了Tom Dietterich,他是俄勒冈州立大学的名誉教授,也是机器学习的先驱之一。
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引用次数: 0
Experiential AI 体验式人工智能
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320264
D. Hemment, R. Aylett, Vaishak Belle, Dave Murray-Rust, E. Luger, J. Hillston, Michael Rovatsos, F. Broz
Experiential AI is proposed as a new research agenda in which artists and scientists come together to dispel the mystery of algorithms and make their mechanisms vividly apparent. It addresses the challenge of finding novel ways of opening up the field of artificial intelligence to greater transparency and collaboration between human and machine. The hypothesis is that art can mediate between computer code and human comprehension to overcome the limitations of explanations in and for AI systems. Artists can make the boundaries of systems visible and offer novel ways to make the reasoning of AI transparent and decipherable. Beyond this, artistic practice can explore new configurations of humans and algorithms, mapping the terrain of inter-agencies between people and machines. This helps to viscerally understand the complex causal chains in environments with AI components, including questions about what data to collect or who to collect it about, how the algorithms are chosen, commissioned and configured or how humans are conditioned by their participation in algorithmic processes.
体验式人工智能是一种新的研究议程,艺术家和科学家聚集在一起,消除算法的神秘性,使其机制生动地显现出来。它解决了寻找新的方法来开放人工智能领域,以提高人与机器之间的透明度和协作的挑战。假设是,艺术可以在计算机代码和人类理解之间进行调解,以克服人工智能系统中解释的局限性。艺术家可以使系统的边界可见,并提供新颖的方法,使人工智能的推理透明和可破译。除此之外,艺术实践可以探索人类和算法的新配置,绘制人与机器之间的跨机构地形。这有助于从内心深处理解人工智能组件环境中复杂的因果链,包括收集什么数据或收集谁的数据,如何选择、委托和配置算法,以及人类如何通过参与算法过程而受到制约。
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引用次数: 8
Open student travel scholarships scheme 开放学生旅游奖学金计划
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320256
Michael Rovatsos
As part of its portfolio of student-oriented activities, SIGAI regularly supports its members through the provision of travel scholarships. To date, these have been primarily allocated to key conferences (co-)sponsored by SIGAI, but as the number of events we support formally (whether through financial sponsorship or "in-cooperation" status) has increased substantially, we have identified a need to reach out to a broader community of students participating in, and contributing to, a broader range of events.
作为面向学生的活动组合的一部分,SIGAI定期通过提供旅行奖学金来支持其成员。到目前为止,这些活动主要分配给SIGAI赞助的关键会议(联合),但随着我们正式支持的活动数量(无论是通过财政赞助还是“合作”状态)大幅增加,我们发现有必要接触更广泛的学生群体,参与并为更广泛的活动做出贡献。
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引用次数: 0
AI education matters 人工智能教育问题
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320261
J. Eckroth
Prolog is a great language to include in an undergraduate AI course. Its logical programming paradigm challenges students to write code in a way that is usually very different from their other courses. Students struggle with its approach but, in my experience, come to appreciate its ability to handle a broad range of AI tasks elegantly.
Prolog是一门很好的语言,可以纳入本科人工智能课程。它的逻辑编程范式挑战学生以一种通常与其他课程非常不同的方式编写代码。学生们对它的方法感到困惑,但根据我的经验,他们开始欣赏它优雅地处理各种人工智能任务的能力。
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引用次数: 1
The laws of thought and thinking machines 思维规律和思维机器
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320263
C. Hughes, Tracey Hughes
The ideal value of an AI Cosmology would be to help the general public, researchers, educators, and practitioners to devise the truth of the definition, meaning, applications, and implications of Artificial Intelligence. The pursuit of that truth even if through an arbitrary contrivance would be a noteworthy goal. The fact of the matter is whether any cosmological structure we have hinted at so far tracks the underlying reality, we cannot escape that there is an underlying reality. At some point in time, we (humans) began the endeavor of trying to replicate the human mind with machines. There was first an effort to understand the human mind, describe its inner workings, and then build machines that could essentially duplicate the thinking process. Surely this point in time must mark or at least point to the Cosmological "Big Bang" for AI. Right?
人工智能宇宙学的理想价值是帮助公众、研究人员、教育工作者和从业者设计人工智能的定义、意义、应用和含义的真相。追求这一真理,即使是通过武断的设计,也是一个值得注意的目标。事实是,到目前为止,我们所暗示的任何宇宙学结构是否都能追踪潜在的现实,我们都无法逃避存在潜在的现实。在某个时刻,我们(人类)开始尝试用机器复制人类的思维。首先是为了理解人类的思维,描述其内部运作,然后制造出可以复制思维过程的机器。当然,这个时间点一定标志着或者至少指向人工智能的宇宙“大爆炸”。对吧?
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引用次数: 2
AI profiles AI配置文件
Pub Date : 2019-04-22 DOI: 10.1145/3320254.3320258
Marion Neumann
Welcome to the eighth interview in our series profiling senior AI researchers. This month we are especially happy to interview our SIGAI advisory board member, Thomas Dietterich, Director of Intelligent Systems at the Institute for Collaborative Robotics and Intelligence Systems (CoRIS) at Oregon State University.
欢迎来到我们的高级人工智能研究人员系列访谈的第八期。本月,我们特别高兴地采访了SIGAI顾问委员会成员Thomas Dietterich,他是俄勒冈州立大学协作机器人与智能系统研究所(CoRIS)的智能系统主任。
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引用次数: 0
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AI matters
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