October 2021 - Air-L - lists.aoir.org

Opportunity to be included in a new article collection, Deep Learning for IoT Security
by Paudel, Ramesh 05 Oct '21

05 Oct '21

Dear All, As a Associate Guest Editor I would like to invite you to submit high quality papers in our Special Issue on “Deep Learning for IoT Security” https://www.frontiersin.org/research-topics/24532/deep-learning-for-iot-sec… in Frontiers in Big Data If you decide to submit a manuscript within our collection, your contribution will be peer-reviewed and judged on originality, interest, clarity, relevance, correctness, language, and presentation by our editorial board members. Immediately upon publication, your paper will be free to read for everyone, increasing visibility and citations. We encourage authors to submit abstracts ahead of the full manuscript submission. See the message below for more information, as well as the links to either accept or decline this Call for Participation. If you have any questions, please do not hesitate to write to the journal team at bigdata(a)frontiersin.org. Would you be interested in contributing a manuscript to this Research Topic? Please let me know by clicking on the links below: YES – I would like to participate https://research-topic-management-app.frontiersin.org/manage/contributor-co… NO – I am unable to participate in this project https://research-topic-management-app.frontiersin.org/manage/contributor-de… Information on the Publishing Fees can be found on the following link: https://www.frontiersin.org/about/publishing-fees. <https://www.frontiersin.org/about/publishing-fees> Kindly note that we are committed to ensuring that fees do not become a barrier to scientific publishing and solutions are available. You are welcome to explore this on our fees page. If you have any questions or if you require any special considerations, please do let me know. I hope you consider contributing to this exciting project. Kind Regards, Ramesh Paudel Topic Editor, Cybersecurity and Privacy Section, Frontiers in Big Data

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New book: AI for Everyone? Critical Perspectives
by Pieter Verdegem 05 Oct '21

05 Oct '21

Verdegem, P. (ed.) 2021. AI for Everyone? Critical Perspectives. London: University of Westminster Press. 310 pages The book is published open access and available via: https://www.uwestminsterpress.co.uk/site/books/e/10.16997/book55/ We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence (AI) is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times. CHAPTERS: Introduction: Why We Need Critical Perspectives on AI Pieter Verdegem Artificial Intelligence (AI): When Humans and Machines Might Have to Coexist Andreas Kaplan Digital Humanism: Epistemological, Ontological and Praxiological Foundations Wolfgang Hofkirchner An Alternative Rationalisation of Creative AI by De-Familiarising Creativity: Towards an Intelligibility of Its Own Terms Jenna Ng Post-Humanism, Mutual Aid Dan McQuillan The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse Rainer Rehak AI Ethics Needs Good Data Angela Daly, S. Kate Devitt and Monique Mann The Social Reconfiguration of Artificial Intelligence: Utility and Feasibility James Steinhoff Creating the Technological Saviour: Discourses on AI in Europe and the Legitimation of Super Capitalism Benedetta Brevini AI Bugs and Failures: How and Why to Render AI-Algorithms More Human? Alkim Almila Akdag Salah Primed Prediction: A Critical Examination of the Consequences of Exclusion of the Ontological Now in AI Protocol Carrie O’Connell and Chad Van de Wiele Algorithmic Logic in Digital Capitalism Jernej A. Prodnik 'Not Ready for Prime Time': Biometrics and Biopolitics in the (Un)Making of California’s Facial Recognition Ban Asvatha Babu and Saif Shahin Beyond Mechanical Turk: The Work of Brazilians on Global AI Platforms Rafael Grohmann and Willian Fernandes Araújo Towards Data Justice Unionism? A Labour Perspective on AI Governance Lina Dencik The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW. This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system.

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Job Alert: Oxford Associate Professor of AI & Society (social sciences)
by Victoria Nash 04 Oct '21

04 Oct '21

Dear AOIR friends, I wanted to bring to your attention that the Oxford Internet Institute and Faculty of Philosophy at the University of Oxford are seeking to appoint an Associate Professor of AI & Society, in association with a Senior Research Fellowship at Wadham College. The successful candidate will conduct outstanding empirical research related to the ethics and social impact of AI, broadly construed, and will play an integral part in the activities of the Oxford Institute for Ethics in AI. This post is available from 1 March 2022, or as soon as possible thereafter. This is a permanent appointment (subject to initial probation). The position is open to candidates from a variety of social science disciplines, including political science, sociology, communications, public policy, anthropology, psychology, development or geography. The successful candidate will be expected to engage in innovative empirical research that will advance normative or ethical debate about the impacts of AI, machine learning and new information technologies, using quantitative or qualitative social science methods, and must be able to provide research-led teaching and supervision at the graduate level. We are particularly interested in candidates whose research expertise addresses public policy-relevant topics such as social injustice and inequality, barriers to information access, algorithmic bias and discrimination, and the role of diversity in the development and application of AI. Applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Oxford. Further details are available on the University’s vacancies list<https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_c…>. The closing date is 19th October. If you have any questions, do feel free to reach out to me directly (victoria.nash(a)oii.ox.ac.uk<mailto:victoria.nash@oii.ox.ac.uk>). Warm wishes, Vicki Dr Victoria Nash Associate Professor & Senior Policy Fellow Director, Oxford Internet Institute University of Oxford T: 01865 287231 Tw: @VickiNashOII Do note that as I juggle work and family life I may resort to working on evenings or weekends. Please don’t feel any pressure to respond out of usual working hours.

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ACM WSDM Cup Tasks Announced
by Ugur Kursuncu 04 Oct '21

04 Oct '21

WSDM Cup 2022 is a machine learning competition-style event co-located with the leading WSDM (Web Search and Data Mining) conference. Task Competitions Start: October 15, 2021 Task Competitions End: January 24, 2022 Winner Reports Submitted: February 15, 2022 WSDM Cup’22 Conference Event: February 21-25, 2022 We are excited to announce the following confirmed tasks for the WSDM Cup 2022. Task sponsor: IQIYI Task focus: User Retention Score Prediction Task abstract: iQIYI is the world's leading movie and video streaming platform, with nearly 8 billion hours spent on iQIYI app each month and over 500 million monthly active users <https://urldefense.proofpoint.com/v2/url?u=https-3A__en.wikipedia.org_wiki_…>. It features highly popular original content, as well as a comprehensive library of other professionally-produced content and user-generated content. iQIYI app uses deep-learning AI algorithms and massive user data, to produce content that caters to various user tastes, and to deliver superior entertainment experience to them. User retention is a key indicator to measure the users' satisfaction. It uses a retention score for the next N days to evaluate the retention. For example, a user having retention score 3 for the next 7 days means this user would launch the iQIYI app in 3 separate days during the period. It is very challenging to predict the retention score. It not only depends on the individual, but also on the trends of the entertainment, e.g., the number of daily users fluctuates severely when some blockbuster original contents are released. The task’s goal is to predict user retention scores using deep models. ----- Task sponsor: Intel / Amazon Task focus: Temporal Link Prediction Task abstract: Real world datasets can often be expressed as graphs, with entities as nodes and interactions as edges. Examples include user-user interaction in social networks, user-item interactions in recommender systems, etc. Moreover, these graphs are often in practice temporal, with new edges coming in with timestamps. Contrary to link prediction which asks if an edge exists between two nodes on a partially observed graph, temporal link prediction asks if an edge will exist between two nodes within a given time span. It is more useful than traditional link prediction as one can then build multiple applications around the model, such as forecasting the demand of customers in E-commerce, or forecasting what event will happen in a social network, etc. We are expecting a single model that can handle two kinds of data simultaneously: a dynamic event graph with entities as nodes and events as edges, and a user-item graph with users and items as nodes and various interactions as edges. The task will be predicting whether an edge of a given type will exist between two given nodes before a given timestamp. ----- Task sponsor: University of Amsterdam / University of Massachusetts Amherst / Amazon Task focus: Cross-market Recommendation Task abstract: E-commerce companies often operate across markets; for instance Amazon has expanded their operations and sales to 18 markets (i.e. countries) around the globe. The cross-market recommendation concerns the problem of recommending relevant products to users in a target market (e.g., a resource-scarce market) by leveraging data from similar high-resource markets, e.g. using data from the U.S. market to improve recommendations in a target market. The key challenge, however, is that data, such as user interaction data with products (clicks, purchases, reviews), convey certain biases of the individual markets. Therefore, the algorithms trained on a source market are not necessarily effective in a different target market. Despite its significance, small progress has been made in cross-market recommendation, mainly due to a lack of experimental data for the researchers. In this WSDM Cup challenge, we provide user purchase and rating data on various markets, enriched with review data in different languages, with a considerable number of shared item subsets. The goal is to improve individual recommendation systems in these target markets by leveraging data from similar auxiliary markets. — Ugur Kursuncu, Ph.D. Publicity Co-Chair, WSDM 2022 Assistant Professor Georgia State University

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Updated 2-minutes on loading spreadsheets
by Stuart Shulman 04 Oct '21

04 Oct '21

Uploading Spreadsheets into DiscoverText (updated today) https://vimeo.com/622539257 Free web tool for all academics. Free training. Free advice. A better scientific collaboration framework. Better measurements. Better ML. No risk. No code. No R. No Python. Publish, do not perish in the weeds. Dr. Stuart ShulmanU.S. Soccer Federation C-Licensed Coach

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One week to deadline: jobs @ Oxford on interpretability, fairness, and trustworthiness in ML & AI - 36 months
by Brent Mittelstadt 04 Oct '21

04 Oct '21

Dear all, One week left to apply! Deadline: October 11, 2021 at 12:00 British Summer Time (BST). The Oxford Internet Institute<https://www.oii.ox.ac.uk/> (OII), University is Oxford is currently recruiting a post-doctoral researcher and research administrator for a three-year project on trustworthiness in AI. The post holders will work with Dr Brent Mittelstadt<https://scholar.google.com/citations?user=tP685zYAAAAJ&hl=en&oi=ao>, Professor Sandra Wachter<https://scholar.google.com/citations?user=ZXBJVqYAAAAJ&hl=en&oi=ao>, and Dr Chris Russell<https://scholar.google.com/citations?user=RM2sHhYAAAAJ&hl=en&oi=ao> on technical aspects of interpretability, transparency, and fairness in machine learning and AI. The post will be part of the Governance of Emerging Technologies<https://www.oii.ox.ac.uk/research/governance-of-emerging-technologies/> research programme at the OII. The post-doctoral position is suited to candidates who hold or are near completion, of a PhD/DPhil in a relevant field such as computer science, data science, statistics, or mathematics, and have an interest in legal and ethical aspects of machine learning and AI (e.g. interpretability, fairness, bias, discrimination). The research administrator position is suited to candidates with a good general level of education and proven knowledge and understanding of the Higher Education research environment. Further details including a job description and link to apply can be found here: Postdoctoral researcher post (36 months): https://tinyurl.com/rr4putbx Research administrator post (36 months): https://tinyurl.com/w75fw2wj To apply candidates will need to submit details of two referees, a CV and a supporting statement. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Questions about the posts should be directed to Dr Brent Mittelstadt at brent.mittelstadt(a)oii.ox.ac.uk<mailto:brent.mittelstadt@oii.ox.ac.uk> Kind regards, Brent --------------------------------------- Dr. Brent Mittelstadt Senior Research Fellow Oxford Internet Institute University of Oxford 1 St. Giles, Oxford, OX1 3JS http://www.oii.ox.ac.uk/people/?id=365

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RECAP: Tribal Wireless Bootcamp Summer 2021
by Joly MacFie 04 Oct '21

04 Oct '21

A great effort, and another reminder to register for the upcoming Indigenous Connectivity Summit <https://isoc.live/14505/> . [image: Setting up a tower]Organized by *ILSR,* <https://ilsr.org/> and supported by the *Internet Society <https://internetsociety.org/>* and others, the first *Tribal Wireless Bootcamp* ran over the July 4th 2021 weekend in Temecula, CA. Representatives from a handful of Tribes joined to learn and forge relationships to support local broadband efforts in their own communities. *PODCAST* Community Broadband Bits Episode 466 - Building Connections and Digital Sovereignty at the Tribal Wireless Bootcamp <https://muninetworks.org/content/building-connections-and-digital-sovereign…> *REPORTS* *ILSR*: Building Connections and Capacity in Indian Country at the First Tribal Wireless Bootcamp <http://building%20connections%20and%20capacity%20in%20indian%20country%20at…> *StateScoop*: Tribal wireless boot camp builds community for broadband <https://statescoop.com/tribal-wireless-boot-camp-builds-community-for-broad…> *American Indian Policy Institute*: A Weekend at Tribal Wireless Bootcamp <https://aipi.asu.edu/blog/2021/08/weekend-tribal-wireless-bootcamp> *VIDEO RECAP* *VIEW ON YOUTUBE* https://youtu.be/owuP2LRRLWg *TWITTER* #TribalWireless <http://bit.ly/tribalwireless> @ILSR @ISOC_NA @mrrdesign @AltheaNetwork @State_Scoop @AIPInstitute *Permalink* https://isoc.live/14578/ - -- -------------------------------------- Joly MacFie +12185659365 -------------------------------------- -

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2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022): Third Call for Papers and Final Call for Special Sessions Proposals
by Announce Announcements 03 Oct '21

03 Oct '21

*** Third Call for Papers and Final Call for Special Sessions Proposals *** 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022) May 25-27, 2022, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/eais2022/ (Proceedings to be published by the IEEE Xplore Digital Library; Special Journal Issue with Evolving Systems, Springer) IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviours, knowledge expansion scenarios and drifts in online data streams. Conference Topics Basic Methodologies Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data Stream Mining. Incremental and Evolving Clustering. Adaptive Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive Statistical Techniques. Evolving Decision Systems. Big Data. Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems. Online Feature Selection and Dimension Reduction. Online Active and Semi-supervised Learning. Online Complexity Reduction. Computational Aspects. Interpretability Issues. Incremental Adaptive Ensemble Methods. Online Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine Interaction Issues. Hybrid Modelling, Transfer Learning. Reservoir Computing. Applications of EAIS Time Series Prediction. Data Stream Mining and Adaptive Knowledge Discovery. Robotics. Intelligent Transport and Advanced Manufacturing. Advanced Communications and Multimedia Applications. Bioinformatics and Medicine. Online Quality Control and Fault Diagnosis. Condition Monitoring Systems. Adaptive Evolving Controller Design. User Activities Recognition. Huge Database and Web Mining. Visual Inspection and Image Classification. Image Processing. Cloud Computing. Multiple Sensor Networks. Query Systems and Social Networks. Alternative Statistical and Machine Learning Approaches. Special Sessions Proposals Distinguished researchers working in theory, analysis and applications of evolving adaptive and intelligent systems and related areas are encouraged to submit proposals within the technical scope of IEEE EAIS 2022. Researchers interested in organising special sessions are invited to submit a formal proposal to the Special Sessions Chair Gabriella Casalino (gabriella.casalino(a)uniba.it) and to the General Chair George Angelos Papadopoulos (george(a)cs.ucy.ac.cy) by specifying: - Special Session Lead Organiser email address, details and mini-bio - Co-Organiser(s) details and mini-bio (optional) - Special Session title - Aim and scope of the Special Session (~half a page) - A list of main topics of the Special Session - A list of potential/expected contributors Submissions Submitted papers should not exceed 8 pages plus at most 2 pages overlength. Submissions of full papers are accepted online through Easy Chair (https://easychair.org/conferences/?conf=eais2022) The EAIS 2022 proceedings will be published on IEEE Xplore Digital Library. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of Evolving Systems - An Interdisciplinary Journal for Advanced Science and Technology (Springer). Important Dates • Special Session proposal submission: October 15, 2021 • Special Session proposal acceptance: October 22, 2021 • Paper submission: January 10, 2022 • Notification of acceptance/rejection: February 19, 2022 • Camera ready submission: March 20, 2022 • Authors registration: March 20, 2022 • Conference Dates: May 25-27, 2022 Social Media FB: https://www.facebook.com/IEEEEAIS Twitter: https://twitter.com/IEEE_EAIS Linkedin: https://www.linkedin.com/events/2022ieeeconferenceonevolvingand681556007867… Organization Honorary Chairs • Dimitar Filev, Ford Motor Co., USA • Nikola Kasabov, Auckland University of Technology, New Zealand General Chairs • George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus • Plamen Angelov, Lancaster University, UK Program Committee Chairs • Giovanna Castellano, University of Bari, Italy • José A. Iglesias, Carlos III University of Madrid, Spain

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Conversations with Media Co-Ops
by Rafael Grohmann 02 Oct '21

02 Oct '21

DigiLabour Research Lab is organizing livestream conversations with media co-ops on YouTube channel. https://youtube.com/digilabour This is part of ongoing research on the subject. Schedule: (BRT/GMT-3 - Check your time zone - [1]https://www.timeanddate.com/time/zones/brt ) Oct 04 - 4PM - lavaca - [2]https://lavaca.org/ Oct 18 - 6PM - The Brick House - [3]https://thebrick.house/ Nov 08 - 5PM - Means TV - [4]http://means.tv/ Join us! If you have any queries, send us an email: hello(a)digilabour.com.br Best, Rafael Grohmann Assistant Professor in Communication, Unisinos University, Brazil Director, DigiLabour Research Lab Principal Investigator, Fairwork Project in Brazil References 1. https://www.timeanddate.com/time/zones/brt 2. https://lavaca.org/ 3. https://thebrick.house/ 4. http://means.tv/

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Virtual event: Platformisation and small nations, 28-29 Oct 2021
by Minna Aslama 02 Oct '21

02 Oct '21

*Media Platformisation and Small Nations Conference* *28-29 October 2021* Register HERE <https://www2.helsinki.fi/en/conferences/media-platformisation-and-small-nat…> You are warmly welcomed to the Media Platformisation and Small Nations Conference, 28-29 of October 2021, organized by the University of Helsinki with the research projects EuromediApp <https://euromediapp.org/>, CORDI <https://cordi.blog/> and MAPS <https://blogs.helsinki.fi/mapsproject/>. *The virtual part of our conference is open to all and free of charge.* The registration is the only requirement, here <https://www2.helsinki.fi/en/conferences/media-platformisation-and-small-nat…>. Registration is open until 22.10.2021. We will start our conference with the keynote of Steven Livingston, Professor & Founding Director of the Institute for Data, Democracy, and Politics at George Washington University. Prof.Livingston will be discussing *Deplatforming the Far-Right: Alt-Tech and the Possible Ironic Outcome of Mainstream Content Moderation*. In this talk, Prof. Livingston will describe recent research he and his colleagues have done on deplatformed user accounts and their migration to Gab and other “alt-tech” platforms. Prof. Livingston raises a key question: Does deplatforming create an incentive for the further development of alt tech platforms? Secondly, do users suspended from mainstream platforms, once migrated to alt tech platforms, constitute an even greater risk to liberal democracy? Does platform moderation on mainstream platforms have the ironic effect of concentrating the presence and ideological fervor of illiberal ideologies? The second day features a panel* Perspectives to Media Platformisation and Small Nations* with Prof. Terry Flew, University of Sydney (opening remarks), Prof. Anja Bechmann, Aarhus University; Prof. Marko Milosavljevic, University of Ljubljana; and Prof. Natali Helberger, University of Amsterdam You can find out more about our other keynote speakers and the program in general by visiting our website <https://www2.helsinki.fi/en/conferences/media-platformisation-and-small-nat…> . If you have any further questions, please feel free to get in touch: irina.grigor(a)helsinki.fi. We look forward to having you at the event! Irina Grigor on behalf of the Conference Organizing Team -- Dr. Minna Aslama Horowitz @aslama https://minnahorowitz.net/

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