social science


To stop a tech apocalypse we need ethics and the arts

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If recent television shows are anything to go by, we're a little concerned about the consequences of technological development. Black Mirror projects the negative consequences of social media, while artificial intelligence turns rogue in The 100 and Better Than Us. The potential extinction of the human race is up for grabs in Travellers, and Altered Carbon frets over the separation of human consciousness from the body. And Humans and Westworld see trouble ahead for human-android relations. Narratives like these have a long lineage.


Dealing With Bias in Artificial Intelligence E-Learning-Inclusivo (Mashup)

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The College of Humanities and Social Sciences (CHSS) at HBKU aims to deliver innovative programs that meet educational needs in the fields of humanities and social sciences for Qatar and the region. The College of Humanities and Social Sciences (CHSS) at Hamad Bin Khalifa University (HBKU) invites applications for Open Rank positions in the field of Translation Studies. The successful candidate will have long-standing experience in the field of Intercultural and Literary Translation, or Machine Translation, Artificial Intelligence and/or Terminology, a dynamic and innovative research agenda, as evidenced through an internationally recognized, strong record of peer-reviewed publications. The candidate will work closely with other programs in the college, in particular the PhD Program in Humanities and Social Sciences, and with national, regional and international partners and stakeholders. The candidate will be expected to teach graduate courses at MA and PhD level, applying a range of methodologies for teaching and assessment, contribute to all levels of curriculum development in the area(s) of specialty including the development of the interdisciplinary PhD in Humanities and Social Sciences.


AI, Social Data Science and the Climate Crisis

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There is still no Wikipedia explanation on Social Data Science, not that it would make it established as a field, but it is more of a side note in these beginnings. The last few days I have been considering how to put together a program that would unite people from different backgrounds to explore the topic of artificial intelligence. Doing so led me into the path of exploring firstly four different modules relating to: AI, science and technology studies (STS) and computer science ethics. To begin with I would say there does not seem to be very fruitful to mesh them together without a thought or regard for each field and their historical connotations, literature, personas and so on. However new practitioners or researchers who increasingly combine an understanding or expertise in social science with the performative skills in programming is edging into the conceived emerging field of social data science.


Computing and artificial intelligence: Humanistic perspectives from MIT

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The MIT Stephen A. Schwarzman College of Computing (SCC) will reorient the Institute to bring the power of computing and artificial intelligence to all fields at MIT, and to allow the future of computing and AI to be shaped by all MIT disciplines. To support ongoing planning for the new college, Dean Melissa Nobles invited faculty from all 14 of MIT's humanistic disciplines in the School of Humanities, Arts, and Social Sciences to respond to two questions: As Nobles says in her foreword to the series, "Together, the following responses to these two questions offer something of a guidebook to the myriad, productive ways that technical, humanistic, and scientific fields can join forces at MIT, and elsewhere, to further human and planetary well-being." The following excerpts highlight faculty responses, with links to full commentaries. The excerpts are sequenced by fields in the following order: the humanities, arts, and social sciences. "The advent of artificial intelligence presents our species with an historic opportunity -- disguised as an existential challenge: Can we stay human in the age of AI? In fact, can we grow in humanity, can we shape a more humane, more just, and sustainable world? With a sense of promise and urgency, we are embarked at MIT on an accelerated effort to more fully integrate the technical and humanistic forms of discovery in our curriculum and research, and in our habits of mind and action."


Computing and artificial intelligence: Humanistic perspectives from MIT

#artificialintelligence

The MIT Stephen A. Schwarzman College of Computing (SCC) will reorient the Institute to bring the power of computing and artificial intelligence to all fields at MIT, and to allow the future of computing and AI to be shaped by all MIT disciplines. To support ongoing planning for the new college, Dean Melissa Nobles invited faculty from all 14 of MIT's humanistic disciplines in the School of Humanities, Arts, and Social Sciences to respond to two questions: As Nobles says in her foreword to the series, "Together, the following responses to these two questions offer something of a guidebook to the myriad, productive ways that technical, humanistic, and scientific fields can join forces at MIT, and elsewhere, to further human and planetary well-being." The following excerpts highlight faculty responses, with links to full commentaries. The excerpts are sequenced by fields in the following order: the humanities, arts, and social sciences. "The advent of artificial intelligence presents our species with an historic opportunity -- disguised as an existential challenge: Can we stay human in the age of AI? In fact, can we grow in humanity, can we shape a more humane, more just, and sustainable world? With a sense of promise and urgency, we are embarked at MIT on an accelerated effort to more fully integrate the technical and humanistic forms of discovery in our curriculum and research, and in our habits of mind and action."


Artificial Intelligence, Ethics, and Society

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Sign in to report inappropriate content. Pedro Domingos and Mary Gray will speak about the ethical and societal challenges raised by the spread of AI technologies in this public event co-organized by the School of Mathematics and the School of Social Science. The talks will be followed by a conversation moderated by Alondra Nelson, Harold F. Linder Professor in the School of Social Science, and a Q&A with the audience.


Imitation in the Imitation Game

arXiv.org Artificial Intelligence

Intelligence might be an unintended consequence of curiosity left to roam free, best exemplified by a frolicking infant. For this unintentional yet welcome aftereffect to set in a foundational list of guiding principles needs to be present. A consideration of these requirements allows us to propose a test of intelligence for trading programs, on the lines of the Turing Test, long the benchmark for intelligent machines. We discuss the application of this methodology to the dilemma in finance, which is whether, when and how much to Buy, Sell or Hold. 2 The Circle of Investment On the surface, it would seem that there is a repetitive nature to portfolio management, making it highly amenable to automation. But we need to remind ourselves that the reiterations happen, under the purview of a special kind of uncertainty, that applies to the social sciences.


TUM Institute for Ethics in Artificial Intelligence officially opened

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TUM has been studying the complex interactions of science, technology and society since 2012 through the work of the Munich Center for Technology in Society (MCTS), which was established under the 2012 Excellence Initiative. As part of the MCTS, the TUM Institute for Ethics in Artificial Intelligence (IEAI) will focus on ethical implications of artificial intelligence. The US company Facebook is supporting this TUM initiative by a 6.5 million euro donation not subject to any conditions or expectations. At today's opening symposium for the Institute for Ethics in Artificial Intelligence (IEAI) at TUM, Dorothee Bär, the Federal Government Commissioner for Digital Affairs, said: "To some extent, machine learning algorithms are already playing a role in choosing the news articles we read. But the possible applications extend far beyond that, for example into such areas as medical diagnostics. These far-reaching technological changes raise many ethical issues. It is a good thing that TUM is getting involved in addressing these issues."


Beyond research data infrastructures: exploiting artificial & crowd i…

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Web pages indexed by Google (plus gazillion of temporal snapshots) Embedded markup (RDFa, Microdata, Microformats) for annotation of Web pages Supports Web search & interpretation Pushed by Google, Yahoo, Bing et al (schema.org Factual errors, annotation errors (see also [Meusel et al, ESWC2015]) o Ambiguity & coreferences. Relevance: supervised coreference resolution 2.) Quality & redundancy: data fusion through supervised fact classification (SVM, knn, RF, LR, NB), diverse feature set (authority, relevance etc), considering source- (eg PageRank), entity-, & fact-level KnowMore: data fusion on markup 02/10/19 11 1. Relevance: supervised coreference resolution 2.) Quality & redundancy: data fusion through supervised fact classification (SVM, knn, RF, LR, NB), diverse feature set (authority, relevance etc), considering source- (eg PageRank), entity-, & fact-level KnowMore: data fusion on markup 02/10/19 12 1. Rich Context & Coleridge Initiative building (yet another) KG of scholarly resources & datasets 13Stefan Dietze Context/corpus: publications (currently: social sciences, SAGE Publishing) Tasks: I. Extraction/disambiguation of dataset mentions II.


Can AI understand culture?

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Since the consolidation of evolutionary theory in the 19th century, many scholars have believed that progress is a linear phenomenon. For it to succeed, one must be as rational as possible, make improvements every time and follow a rigorous set of rules that are known as the scientific method. During this time, certain disciplines such as the biological and physical sciences have been glorified as essential tools for human advancement-- all while leaving the arts, humanities and social sciences behind and deeming them less important for human growth. However, we are reaching a point where the traditional areas that were clearly delineated are blurring, and the once subordinated masteries that focused on the human experience are becoming essential. My background in biological anthropology has catalyzed not only a series of thoughts of possible solutions, but most importantly, a plethora of questions for the human context that lies ahead.