DOCSLIB.ORG

AAAI News AAAI News

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
AAAI News AAAI News AAAI News AAAI News Spring News from the Association for the Advancement of Artificial Intelligence AAAI Announces The Interactive Museum Tour-Guide Holte, Ariel Felner, Guni Sharon, Robot (Wolfram Burgard, Armin B. Nathan R. Sturtevant) New Senior Member! Cremers, Dieter Fox, Dirk Hähnel, Gerhard Lakemeyer, Dirk Schulz, Wal- AAAI-16 Outstanding AAAI congratulates Wheeler Ruml ter Steiner, and Sebastian Thrun) Student Paper Award (University of New Hampshire, USA) Toward a Taxonomy and Computa- Boosting Combinatorial Search on his election to AAAI Senior Member tional Models of Abnormalities in through Randomization (Carla P. status. This honor was announced at Images (Babak Saleh, Ahmed Elgam- Gomes, Bart Selman, and Henry the recent AAAI-16 Conference in mal, Jacob Feldman, Ali Farhadi) Phoenix. Senior Member status is Kautz) designed to recognize AAAI members Burgard and colleagues were honored IAAI-16 Innovative who have achieved significant accom- for significant contributions to proba- Application Awards plishments within the field of artificial bilistic robot navigation and the inte- Each year the AAAI Conference on intelligence. To be eligible for nomina- gration with high-level planning Innovative Applications selects the tion for Senior Member, candidates methods, while Gomes, Selman, and recipients of the IAAI Innovative must be consecutive members of AAAI Kautz were recognized for their signifi- Application Award. These deployed for at least five years and have been cant contributions to the area of auto- application case study papers must active in the professional arena for at mated reasoning and constraint solv- describe deployed applications with least ten years. ing through the introduction of measurable benefits that include some randomization and restarts into com- aspect of AI technology. The applica- plete solvers. Wolfram Burgard and Congratulations to tion needs to have been in production Carla Gomes presented invited talks use by its final end-users for sufficient- the 2016 AAAI Award during the conference in recognition ly long so that the experience in use of this honor. Winners! can be meaningfully collected and For more information about nomi- reported. The 2016 winners were as fol- Tom Dietterich, AAAI President, nations for AAAI 2017 Awards, please lows: Manuela Veloso, AAAI Past President contact Carol Hamilton at hamil- and Awards Committee Chair, and Rao [email protected]. Deploying PAWS: Field Optimization Kambhampati, AAAI President-Elect, of the Protection Assistant for Wildlife presented the AAAI Awards in February AAAI-16 Outstanding Security (Fei Fang, Thanh H. Nguyen, at AAAI-16 in Phoenix. Paper Awards Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, AAAI Classic Paper Award This year, AAAI's Conference on Artifi- Milind Tambe, Andrew Lemieux) cial Intelligence honored the following The 2016 AAAI Classic Paper Award Ontology Re-Engineering: A Case two papers, which exemplify high was given to the authors of the two Study from the Automotive Industry standards in technical contribution papers deemed most influential from (Nestor Rychtyckyj, Baskaran Sankara- the Fifteenth National Conference on and exposition by regular and student narayanan, P Sreenivasa Kumar, Deep- Artificial Intelligence, held in 1998 in authors. ak Khemani, Venkatesh Raman) Madison, Wisconsin, USA. The 2016 AAAI-16 Outstanding Paper Award Deploying nEmesis: Preventing Food- recipients of the AAAI Classic Paper Bidirectional Search That Is Guaran- borne Illness by Data Mining Social Award were: teed to Meet in the Middle (Robert C. Media (Adam Sadilek, Henry Kautz, Copyright © 2016, Association for the Advancement of Artificial Intelligence. All rights reserved. ISSN 0738-4602 SPRING 2016 109 AAAI News Lauren DiPrete, Brian Labus, Eric Port- man, Jack Teitel, Vincent Silenzio) Special Computing Community Consortium (CCC) Blue Sky Awards AAAI-16, in cooperation with the CRA Computing Community Consortium (CCC), honored three papers in the Senior Member track that presented ideas and visions that can stimulate the research community to pursue new I CWSM directions, such as new problems, new application domains, or new method- ologies. The recipients of the 2016 Blue Sky Idea travel awards, sponsored by the CCC, were as follows: Indefinite Scalability for Living Com- Please Join Us for ICWSM-16 putation (David H. Ackley) in Cologne, Germany! Embedding Ethical Principles in Col- lective Decision Support Systems (Joshua Greene, Francesca Rossi, John The Tenth International AAAI Conference on Web and Social Media will be Tasioulas, Kristen Brent Venable, Brian held May 17–20 at Maternushaus and GESIS - Leibniz Institute for the Social Williams) Sciences in Cologne, Germany. This interdisciplinary conference is a forum Five Dimensions of Reasoning in the for researchers in computer science and social science to come together to Wild (Don Perlis) share knowledge, discuss ideas, exchange information, and learn about cut- ting-edge research in diverse fields with the common theme of online social 2016 AI Video Competition media. This overall theme includes research in new perspectives in social Winners theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science The tenth annual AI video competi- and computational approaches to answer important and challenging ques- tion was held during AAAI-16 and sev- tions about human social behavior through social media while advancing eral winning videos were honored dur- computational tools for vast and unstructured data. ing the awards presentation. Videos were nominated for awards in six cate- ICWSM-16 will include a lively program of technical talks and posters, gories, and winners received a invited presentations, and keynote talks by Lise Getoor (University of Cal- “Shakey” award during a special award ifornia, Santa Cruz) and Amr Goldberg (Stanford Graduate School of Busi- ceremony at the conference. Our ness). thanks go to Sabine Hauert and Charles Isbell for all their work on this Workshops and Tutorials event. The winners of the three awards The ICWSM Workshop program will continue in 2016, and the Tutorial Pro- were as follows: gram will return. Both will be held on the first day of the conference, May Best Video 17. For complete details about the workshop program, please see Machine Learning Techniques for www.icwsm.org/2016/program/workshop. Reorchestrating the European Anthem (François Pachet, Pierre Roy, Mathieu Registration Is Now Open! Ramona, Marco Marchini, Gaetan Registration information is available at the ICWSM-16 website Hadjeres, Emmanuel Deruty, Benoit (www.icwsm.org/2016/attending/registration). The early registration dead- Carré, Fiammetta Ghedini) line is March 25, and the late registration deadline is April 15. Best Robot Video For full details about the conference program, please visit the ICWSM-16 A Sea of Robots (Anders Lyhne Chris- website (icwsm. org) or write to [email protected]. tensen, Miguel Duarte, Vasco Costa, Tiago Rodrigues, Jorge Gomes, Fer- nando Silva, Sancho Oliveira) Best Student Video Deep Neural Networks Are Easily Fooled (Anh Nguyen, Jason Yosinski, Jeff Clune) 110 AI MAGAZINE AAAI News Congratulations to the 2016 AAAI Fellows! Each year a small number of fellows are recognized for their unusual distinction in the profession and for their sus- tained contributions to the field for a decade or more. An official dinner and ceremony were held in their honor during AAAI-16 in Phoenix, Arizona. Giuseppe De Giacomo (University of Rome La Sapienza, Maja J. Mataric (University of Southern California, USA) Italy) For significant contributions to the advancement of multi- For significant contributions to the field of knowledge rep- robot coordination, learning in human-robot systems, and resentation and reasoning, and applications to data integra- socially assistive robotics. tion, ontologies, planning, and process synthesis and verifi- Eric Poe Xing (Carnegie Mellon University, USA) cation. For significant contributions to statistical machine learning, Daniel D. Lee (University of Pennsylvania, USA) its theoretical analysis, new algorithms for learning proba- For significant contributions to machine learning and robot- bilistic models, and applications of these to important prob- ics, including algorithms for perception, planning, and lems in biology, social network analysis, natural language motor control processing and beyond; and to the development of new architecture, system platform, and theory for distributed Bing Liu (University of Illinois at Chicago, USA) machine learning programs on large scale applications. For significant contributions to data mining and develop- ment of widely used sentiment analysis, opinion spam Zhi-Hua Zhou (Nanjing University, China) detection, and Web mining algorithms. For significant contributions to ensemble methods and learning from multi-labeled and partially-labeled data. The 2016 AAAI Distinguished Service Award The 2016 AAAI Distinguished Service Award recognizes one individual for extraordinary service to the AI com- munity. The AAAI Awards Committee is pleased to announce that this year's recipient is Maria Gini (University of Minnesota). Professor Gini is being recognized for her outstanding contributions to the field of artificial intel- ligence through sustained service leading AI societies, journals, and conferences; men- toring colleagues; and working to increase participation of women
Load more

Recommended publications
  • ARW 2015 Austrian Robotics Workshop
    ARW 2015 Austrian Robotics Workshop Proceedings Austrian Robotics Workshop 2015 ARW 2015 hosted by Institute of Networked and Embedded Systems http://nes.aau.at Alpen-Adria Universität Klagenfurt Welcome to ARW 2015! NES has organized and hosted the Austrian Robotics Workshop (ARW) 2015 on May 7-8 in Klagenfurt. With more than 80 participants and speakers from eight dif- ferent countries this workshop grew into an international event where people from academia and industry meet - botics. Two keynote speakers gave inspiring talks on their thrilling research in robotics. Sabine Hauert from Bristol Robotics Laboratory and University of Bristol explained the development of nano-robots and how they may sup- port medical treatment. Werner Huber from BMW Group Research and Technology presented the self-driving cars, which have received a lot of media coverage lately. In addition, participants from industry and academia pre- sented and demonstrated their demos and posters during an interesting joint session. We have invited people to observe live demonstrations and discuss recent advan- cements face to face. NES members also demonstrated the SINUS project and its achievements in autonomous multi-UAV mission, communication architecture, collision avoidance, path planning, and video streaming. The Austrian Robotics Workshop 2016 will take place in Wels. Hope to see you there! Christian Bettstetter, Torsten Andre, Bernhard Rinner, Saeed Yahyanejad ARW 2015 Austrian Robotics Workshop We warmly acknowledge the support of our sponsors: Committees,
    [Show full text]
  • The Power and Promise of Computers That Learn by Example
    Machine learning: the power and promise of computers that learn by example MACHINE LEARNING: THE POWER AND PROMISE OF COMPUTERS THAT LEARN BY EXAMPLE 1 Machine learning: the power and promise of computers that learn by example Issued: April 2017 DES4702 ISBN: 978-1-78252-259-1 The text of this work is licensed under the terms of the Creative Commons Attribution License which permits unrestricted use, provided the original author and source are credited. The license is available at: creativecommons.org/licenses/by/4.0 Images are not covered by this license. This report can be viewed online at royalsociety.org/machine-learning Cover image © shulz. 2 MACHINE LEARNING: THE POWER AND PROMISE OF COMPUTERS THAT LEARN BY EXAMPLE Contents Executive summary 5 Recommendations 8 Chapter one – Machine learning 15 1.1 Systems that learn from data 16 1.2 The Royal Society’s machine learning project 18 1.3 What is machine learning? 19 1.4 Machine learning in daily life 21 1.5 Machine learning, statistics, data science, robotics, and AI 24 1.6 Origins and evolution of machine learning 25 1.7 Canonical problems in machine learning 29 Chapter two – Emerging applications of machine learning 33 2.1 Potential near-term applications in the public and private sectors 34 2.2 Machine learning in research 41 2.3 Increasing the UK’s absorptive capacity for machine learning 45 Chapter three – Extracting value from data 47 3.1 Machine learning helps extract value from ‘big data’ 48 3.2 Creating a data environment to support machine learning 49 3.3 Extending the lifecycle
    [Show full text]
  • An Abstract of the Dissertation Of
    AN ABSTRACT OF THE DISSERTATION OF Karina A. Roundtree for the degree of Doctor of Philosophy in Mechanical Engineering presented on August 21, 2020. Title: Achieving Transparency in Human-Collective Systems Abstract approved: H. Onan Demirel Julie A. Adams Collective robotic systems are biologically-inspired and exhibit behaviors found in spa- tial swarms (e.g., fish), colonies (e.g., ants), or a combination of both (e.g., bees). Collec- tive robotic system popularity continues to increase due to their apparent global intel- ligence and emergent behaviors. Many applications can benefit from the incorporation of collectives, including environmental monitoring, disaster response missions, and in- frastructure support. Human-collective system designers continue to debate how best to achieve transparency in human-collective systems in order to attain meaningful and insightful information exchanges between the operator and collective, enable positive operator influence on collectives, and improve the human-collective’s performance. Few human-collective evaluations have been conducted, many of which have only assessed how embedding transparency into one system design element (e.g., models, visualizations, or control mechanisms) may impact human-collective behaviors, such as the human-collective performance. This dissertation developed a transparency defi- nition for collective systems that was leveraged to assess how to achieve transparency in a single human-collective system. Multiple models and visualizations were evalu- ated for a sequential best-of-n decision-making task with four collectives. Transparency was evaluated with respect to how the model and visualization impacted human oper- ators who possess different capabilities, operator comprehension, system usability, and human-collective performance. Transparency design guidance was created in order to aid the design of future human-collective systems.
    [Show full text]
  • The Perceived Ethics of Artificial Intelligence
    Markets, Globalization & Development Review Volume 5 Number 2 Article 3 2020 The Perceived Ethics of Artificial Intelligence Ross Murray University of Texas Rio Grande Valley Follow this and additional works at: https://digitalcommons.uri.edu/mgdr Part of the Business Law, Public Responsibility, and Ethics Commons, Economics Commons, Marketing Commons, Other Business Commons, Science and Technology Studies Commons, and the Sociology Commons Recommended Citation Murray, Ross (2020) "The Perceived Ethics of Artificial Intelligence," Markets, Globalization & Development Review: Vol. 5: No. 2, Article 3. DOI: 10.23860/MGDR-2020-05-02-03 Available at: https://digitalcommons.uri.edu/mgdr/vol5/iss2/3https://digitalcommons.uri.edu/mgdr/vol5/ iss2/3 This Article is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Markets, Globalization & Development Review by an authorized editor of DigitalCommons@URI. For more information, please contact [email protected]. The Perceived Ethics of Artificial Intelligence This article is available in Markets, Globalization & Development Review: https://digitalcommons.uri.edu/mgdr/vol5/ iss2/3 Murray: Ethics of Artificial Intelligence The Perceived Ethics of Artificial Intelligence Introduction Artificial Intelligence (AI) has been embedded in consumer products and services in thousands of products such as Apple’s iPhone, Amazon’s Alexa, Tesla’s autonomous vehicles, Facebook’s algorithms that attempt to increase click-through optimization, and smart vacuum cleaners. As products and services attempt to imitate the intelligence of humans – although the products and services are not making decisions based upon their own moral values – the moral values of the employees and business ethics of corporations that create the products and services are being coded into the technology that is evidenced in these products.
    [Show full text]
  • Hunt, E. R., & Hauert, S. (2020). a Checklist for Safe Robot Swarms. Nature Machine Intelligence
    Hunt, E. R. , & Hauert, S. (2020). A checklist for safe robot swarms. Nature Machine Intelligence. https://doi.org/10.1038/s42256-020- 0213-2 Peer reviewed version Link to published version (if available): 10.1038/s42256-020-0213-2 Link to publication record in Explore Bristol Research PDF-document This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Nature Research at https://www.nature.com/articles/s42256-020-0213-2 . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ 1 A checklist for safe robot swarms 2 3 Edmund Hunt and Sabine Hauert* 4 Engineering Mathematics, Bristol Robotics Laboratory, University of Bristol 5 6 *corresponding author: [email protected] 7 8 Standfirst: As robot swarms move from the laboratory to real world applications, a routine 9 checklist of questions could help ensure their safe operation. 10 11 Robot swarms promise to tackle problems ranging from food production and natural 12 disaster response, to logistics and space exploration1–4. As swarms are deployed outside the 13 laboratory in real world applications, we have a unique opportunity to engineer them to be 14 safe from the get-go. Safe for the public, safe for the environment, and indeed, safe for 15 themselves.
    [Show full text]
  • IJCAI-05 Programme
    PROGRAMME IJCAI – 0 5 NINETEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE EDINBURGH, SCOTLAND 30 JULY – 5 AUGUST 2005 www.ijcai-05.org Sponsored by: INTERNATIONAL JOINT CONFERENCES ON ARTIFICIAL INTELLIGENCE (IJCAI) Hosted by: THE BRITISH COMPUTER SOCIETY SPECIALIST GROUP ON ARTIFICIAL INTELLIGENCE In Collaboration with: THE SCHOOL OF INFORMATICS, UNIVERSITY OF EDINBURGH In Partnership with: SCOTTISH ENTERPRISE AND THE BRITISH COMPUTER SOCIETY IJCAI – 0 5 WELCOME TO IJCAI-05 Dear Attendees, We are very pleased to welcome you all to IJCAI-05 and Edinburgh. We have put together an excellent technical program and exciting social events. We hope you will find IJCAI-05 to be a pleasant experience through significant technical and social interactions with your fellow AI researchers and practitioners from around the world. Edinburgh, the capital city of Scotland, is a city filled with historical sights and stories and hosts the world-famous Edinburgh International Festival immediately after IJCAI-05. It will be a very busy but enjoyable week. IJCAI-05, the Nineteenth International Joint Conference on Artificial Intelligence, is sponsored by the International Joint Conferences on Artificial Intelligence (IJCAI) and hosted by The British Computer Society Specialist Group on Artificial Intelligence and the School of Informatics, The University of Edinburgh and in Partnership with the British Computer Society and Scottish Enterprise. IJCAI sponsors biennial conferences on Artificial Intelligence, which are the premier forums for
    [Show full text]
  • Conference Program Contents AAAI-14 Conference Committee
    Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) Twenty-Sixth Conference on Innovative Applications of Artificial Intelligence (IAAI-14) Fih Symposium on Educational Advances in Artificial Intelligence (EAAI-14) July 27 – 31, 2014 Québec Convention Centre Québec City, Québec, Canada Sponsored by the Association for the Advancement of Artificial Intelligence Cosponsored by the AI Journal, National Science Foundation, Microso Research, Google, Amazon, Disney Research, IBM Research, Nuance Communications, Inc., USC/Information Sciences Institute, Yahoo Labs!, and David E. Smith In cooperation with the Cognitive Science Society and ACM/SIGAI Conference Program Contents AAAI-14 Conference Committee AI Video Competition / 7 AAAI acknowledges and thanks the following individuals for their generous contributions of time and Awards / 3–4 energy to the successful creation and planning of the AAAI-14, IAAI-14, and EAAI-14 Conferences. Computer Poker Competition / 7 Committee Chair Conference at a Glance / 5 CRA-W / CDC Events / 4 Subbarao Kambhampati (Arizona State University, USA) Doctoral Consortium / 6 AAAI-14 Program Cochairs EAAI-14 Program / 6 Carla E. Brodley (Northeastern University, USA) Exhibition /24 Peter Stone (University of Texas at Austin, USA) Fun & Games Night / 4 IAAI Chair and Cochair General Information / 25 David Stracuzzi (Sandia National Laboratories, USA) IAAI-14 Program / 11–19 David Gunning (PARC, USA) Invited Presentations / 3, 8–9 EAAI-14 Symposium Chair and Cochair Posters / 4, 23 Registration / 9 Laura
    [Show full text]
  • Opportunities for Computing Research and Education in a Sustainability Context
    Opportunities for Computing Research and Education in a Sustainability Context Panel on The Present and Future of Sustainability R&D at the First USENIX Workshop on Sustainable Information Technology Douglas H. Fisher Program Director National Science Foundation (NSF) Directorate for Computer & Information Science & Engineering (CISE) Division of Information & Intelligent Systems (IIS) Robust Intelligence Program (RI) [email protected] Douglas H. Fisher (NSF) Questions to ask As educators What should be sustained? What are the “needs” of future generations referenced in the Brundtland report? Why? Are the reasons compelling? As computing professionals Is the low hanging fruit being implemented (e.g., distance meetings)? What are the factors influencing implementation decisions? What are the lifecycle costs? What are aspirations? Lifecycles→∞? As computer scientists What is the (likely) growth rate (of adoption, of resource depletion, of energy demand, of improvement)? (across all societal/technical areas) What is the complexity class (of growth rate, of change to growth rate)? What other communities are prospective partners? Douglas H. Fisher (NSF) Computing and the Environment ICT along for the ride ICT Possible Future Current Human footprint ICT reduces human footprint IT is a bigger (e.g., through percentage dematerialization) without Possible of a smaller matching rebound effects Future total Don’t (too) short shrift direct effects, because the 2% of “today” (2007) is the 30% of tomorrow (growth rates, growth rates, growth rates!) Douglas H. Fisher (NSF) * Context * * http://www.nsf.gov Douglas H. Fisher (NSF) Finding 1: … A comprehensive coordinated Federal strategy is required … Finding 2: … Private and Federal support … R&D is inadequate. Finding 3: … The U.S.
    [Show full text]
  • Computational Sustainability: Computing for a Better World and a Sustainable Future
    Computational Sustainability: Computing for a Better World and a Sustainable Future CARLA GOMES, CORNELL UNIVERSITY; THOMAS DIETTERICH, OREGON STATE UNIVERSITY; BISTRA DILKINA, UNIVERSITY OF SOUTH CALIFORNIA; STEFANO ERMON, STANFORD UNIVERSITY; FEI FANG, CARNEGIE MELLON UNIVERSITY; ANDREW FARNSWORTH, CORNELL UNIVERSITY; ALAN FERN, OREGON STATE UNIVERSITY; XIAOLI FERN, OREGON STATE UNIVERSITY; DANIEL FINK, CORNELL UNIVERSITY; DOUGLAS FISHER, VANDERBILT UNIVERSITY; ALEXANDER FLECKER, CORNELL UNIVERSITY; DANIEL FREUND, MASSACHUSSETS INSTITUTE OF TECHNOLOGY; ANGELA FULLER, UNITED STATES GEOLOGICAL SURVEY; JOHN GREGOIRE, CALTECH INSTITUTE OF TECHNOLOGY; JOHN HOPCROFT, CORNELL UNIVERSITY; ZICO KOLTER, CARNEGIE MELLON UNIVERSITY; WARREN POWELL, PRINCETON UNIVERSITY; NICOLE SANTOV, OHIO STATE UNIVERSITY; JOHN SELKER, OREGON STATE UNIVERSITY; BART SELMAN, CORNELL UNIVERSITY; DANIEL SHELDON, UNIVERSITY OF MASSACHUSSETS AMHERST; DAVID SHMOYS, CORNELL UNIVERSITY; MILIND TAMBE, UNIVERSITY OF SOUTH CALIFORNIA; CHRISTOPHER WOOD, CORNELL UNIVERSITY; WENG-KEEN WONG, OREGON STATE UNIVERSITY; XIAOJIAN WU, MICROSOFT; STEVE KELLING, CORNELL UNIVERSITY; YEXIANG XUE, PURDUE UNIVERSITY; AMULYA YADAV, PENNSYLVANIA STATE UNIVERSITY; AZIZ YAKUBU, HOWARD UNIVERSITY; MARY LOU ZEEMAN, BOWDOIN COLLEGE Computational sustainability aims to develop computational methods to help solve environmental, economic, and societal problems and thereby facilitate a path towards a sustainable future. Sustainability problems are unique in scale, impact, complexity, and richness, offering
    [Show full text]
  • Portrayals and Perceptions of AI and Why They Matter
    Portrayals and perceptions of AI and why they matter 1 Portrayals and perceptions of AI and why they matter Cover Image Turk playing chess, design by Wolfgang von Kempelen (1734 – 1804), built by Christoph 2 Portrayals and perceptions of AI and why they matter Mechel, 1769, colour engraving, circa 1780. Contents Executive summary 4 Introduction 5 Narratives and artificial intelligence 5 The AI narratives project 6 AI narratives 7 A very brief history of imagining intelligent machines 7 Embodiment 8 Extremes and control 9 Narrative and emerging technologies: lessons from previous science and technology debates 10 Implications 14 Disconnect from the reality of the technology 14 Underrepresented narratives and narrators 15 Constraints 16 The role of practitioners 20 Communicating AI 20 Reshaping AI narratives 21 The importance of dialogue 22 Annexes 24 Portrayals and perceptions of AI and why they matter 3 Executive summary The AI narratives project – a joint endeavour by the Leverhulme Centre for the Future of Intelligence and the Royal Society – has been examining how researchers, communicators, policymakers, and publics talk about artificial intelligence, and why this matters. This write-up presents an account of how AI is portrayed Narratives are essential to the development of science and perceived in the English-speaking West, with a and people’s engagement with new knowledge and new particular focus on the UK. It explores the limitations applications. Both fictional and non-fictional narratives of prevalent fictional and non-fictional narratives and have real world effects. Recent historical examples of the suggests how practitioners might move beyond them. evolution of disruptive technologies and public debates Its primary audience is professionals with an interest in with a strong science component (such as genetic public discourse about AI, including those in the media, modification, nuclear energy and climate change) offer government, academia, and industry.
    [Show full text]
  • Telling Stories on Culturally Responsive Artificial Intelligence 19 Stories
    Telling Stories On Culturally Responsive Artificial Intelligence 19 Stories EDITED BY: Ryan Calo, Batya Friedman, Tadayoshi Kohno, Hannah Almeter and Nick Logler 2 Telling Stories: On Culturally Responsive Artificial Intelligence Telling Stories: On Culturally Responsive Artificial Intelligence 19 Stories Edited by Ryan Calo, Batya Friedman, Tadayoshi Kohno, Hannah Almeter and Nick Logler University of Washington Tech Policy Lab, Seattle Copyright © 2020 by University of Washington Tech Policy Lab. All rights reserved. For information about permission to reproduce selections from this book, contact: University of Washington Tech Policy Lab 4293 Memorial Way NE Seattle, WA 98195. Printed by The Tech Policy Lab, USA. First edition. ISBN: 978-1-7361480-0-6 (ebook) Library of Congress Control Number: 2020924819 Book design by Patrick Holderfield, Holdereaux Studio www.holdereauxstudio.com Illustrations by: Tim Corey, Colibri Facilitation: pgs - 22, 24, 28, 29, 40, 41, 43, 45, 48 Akira Ohiso: pgs - 18, 26, 27, 36, 42, 44, 50, 51, 52, 53 Elena Ponte: pgs - 20, 30, 31, 34, 38, 46, 47, 54 Free digital copy available at https://techpolicylab.uw.edu/ About the Global Summit on Culturally Responsive Artificial Intelligence The Global Summit on Culturally Responsive AI is part of the Tech Policy Lab’s Global Summit Initiative (2016-present). Our Global Summits convene twenty to thirty thought leaders from around the world representing design, ethics, governance, policy, and technology. Summits aim to frame and begin progress on pressing grand challenges for tech policy, providing opportunities for collaboration on global and local issues. The 2018 Global Summit structured conversation around grand challenges for developing and disseminating artificial intelligence technologies that maintain respect for and enhance culture and diversity of worldview.
    [Show full text]
  • Social and Economic Challenges of Artificial Intelligence
    COURSE OUTLINE SOCIAL & ECONOMIC CHALLENGE OF ARTIFICIAL INTELLIGENCE Teachers(s): MIAILHE Nicolas Academic year 2017/2018: Spring Semester SHORT BIOGRAPHY: Nicolas Miailhe is the co-founder and President of "The Future Society at Harvard Kennedy School" under which he also co-founded and leads the "AI Initiative". A recognized strategist, social entrepreneur, and thought-leader, he advises multinationals, governments and international organizations. Nicolas is a Senior Visiting Research Fellow with the Program on Science, Technology and Society (STS) at HKS. His work centers on the governance of emerging technologies. He also specializes in urban innovation and civic engagement. Nicolas has ten years of professional experience in emerging markets such as India, working at the nexus of innovation, high technology, government, industry and civil society. Before joining Harvard, he was Regional Director South Asia at Safran Sagem, the world leader in aerospace, defense and security. An Arthur Sachs Scholar, Nicolas holds a Master in Public Administration from the Harvard Kennedy School of Government. He also holds a Master in Geostrategy and Industrial Dynamics from Pantheon-Assas University in Paris and a Bachelor of Arts in Political Sciences from Sciences Po Strasbourg. COURSE OUTLINE (REQUIRED) Please find below a proposed outline based upon 12 sessions, to be filled in. Should you prefer to use a non- standard outline, please feel free to use the « non-standard course outline » area at the bottom of this document. In both cases please indicate required and/or recommended readings: Session 1: Defining Artificial Intelligence Required readings: • Nicolas Miailhe & Cyrus Hodes, Making the AI revolution work for everyone, The Future Society, AI Initiative, Report to OECD, February 2017 – PART 1, CHAPTER A • Russell, Stuart (2016) "Q&A: The Future of Artificial Intelligence".
    [Show full text]