DOCSLIB.ORG

2015 : What Do You Think About Machines That Think?

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
2015 : What Do You Think About Machines That Think? Skip to main content 2015 : WHAT DO YOU THINK ABOUT MACHINES THAT THINK? In the News [ 18 ] | Contributors [ 192 ] | View All Responses [ 192 ] 2015 : WHAT DO YOU THINK ABOUT MACHINES THAT THINK? An Epochal Scientific, Technological, And What Do You Care What Other Machines Social—"Human"—Event Think? Pamela McCorduck George Church Author, Machines Who Think, The Universal Author, Regenesis; Professor, Harvard Machine, Bounded... University; Director... Nobody Would Ever Ask A Machine What Just Other Natural Creatures Of A Natural It Thinks About Machines That Think World James J. O'Donnell Carlo Rovelli Classical Scholar, University Professor, Theoretical Physicist; Aix-Marseille Georgetown... University, in the... A Difficult Topic The Singularity—an Urban Legend? Nick Bostrom Daniel C. Dennett Professor, Oxford University; Director, Philosopher; Austin B. Fletcher Professor of Future of Humanity... Philosophy, Co... Evolving AI Machines That Think Are In The Movies Donald D. Hoffman Roger Schank Cognitive Scientist, UC, Irvine; Author, Visual Psychologist & Computer Scientist; Engines Intelligence for... Machines That Can Think Will Do More Three Observations on Artificial Good Than Harm Intelligence Mark Pagel Frank Wilczek Professor of Evolutionary Biology, Reading Physicist, MIT; Recipient, 2004 Nobel Prize in University,... Physics;... Irrational Machines and Humans The Next Replicator Robert Provine Susan Blackmore Research Professor/Professor Emeritus, Psychologist; Author, Consciousness: An University of... Introduction Thinking About People Who Think Like You Are What You Eat: Home-Grown A.I.s Machines and the Big Data Food Chain Haim Harari Andy Clark Physicist, former President, Weizmann Philosopher and Cognitive Scientist, Institute of Science... University of... Ask Not Can Machines Think, Ask How Can Submarines Swim? Machines Fit Into The Mechanisms We Design William Poundstone Journalist; Author, Are Your Smart Enough Peter Norvig To Work At Google... Director of Research, Google Inc.; Fellow of the AAAI and... Mistaking Performance For Competence Misleads Estimates Of AI's 21st Century The Rise of Storytelling Machines Promise And Danger Jonathan Gottschall Rodney A. Brooks Distinguished Research Fellow, English Roboticist; Panasonic Professor of Robotics Department,... (emeritus) ,... Machines (Humanly Constructed Enhancing The Cognitive Capacity Of Our 7 Artifacts) Cannot Think Billion Thinking Machines Arnold Trehub Giulio Boccaletti Psychologist, University of Massachusetts, Physicist; Atmospheric and Oceanic Scientist, Amherst; Author... Nature... When It Comes To AI, Think Protopia, Not Utopia Or Dystopia The Limits Of Biological Intelligence Michael Shermer Chris DiBona Psychologist; Historian of science; Publisher, Open Source and Public Sector, Google Skeptic... When Is A Minion Not A Minion? Head Transplants? Aubrey De Grey Juan Enriquez Gerontologist; Chief Science Officer. SENS Managing Director, Excel Venture Foundation;... Management; Co-author,... What Does Thinking About Thinking The Beasts of A.I. Island Machines Tell Us About Human Beings? Quentin Hardy Satyajit Das Deputy Technology Editor, The New York Former Banker; Author, Extreme Money; Times; Lecturer, U.C... Traders Guns &... We Will Become One The Colossus Is A BFG Clifford Pickover Nicholas Humphrey Author, The Math Book, The Physics Book, Emeritus Professor of Psychology, London and The Medical... School of... What Will Be The Place Of Humans In A World Occupied By An Exponentially He Who Pays The AI, Calls The Tune Growing Population Of Autonomous Machines Ross Anderson Professor of Security Engineering at Paul Saffo Cambridge University Technology Forecaster; Consulting Associate Professor,... A New Wisdom of the Body The Great AI Swindle Eric J. Topol, M D Dylan Evans Professor of Genomics, The Scripps Founder and CEO of Projection Point; author, Translational Science... Risk... What Do I Think About Machines That Between Regular-I And AI Think? Roger Highfield Gordon Kane Director, External Affairs, Science Museum Theoretical Particle Physicist and Group; Coauthor... Cosmologist; Victor... We Should Consider The Future World As Thinking Machines And Ennui One Of Multi-Species Intelligence Richard Nisbett Melanie Swan Professor of Psychology, University of Systems-Level Thinker; Futurist; Applied Michigan; Author,... Genomics Expert;... What Neuroscience And Machine Models Our Concept Of Nature Of The Mind Should Be Looking For Lee Smolin Scott Atran Physicist, Perimeter Institute; Author, Time Anthropologist, National Center for Scientific Reborn Research,... Two Cognitive Functions That Machines Another Kind Of Diversity Still Lack Stephen M. Kosslyn Stanislas Dehaene Founding Dean, Minerva Schools at the Keck Neuroscientist; Collège de France, Paris; Graduate... Author, The... I Think That Machines Can't Think Who's Afraid of Artificial Intelligence? Emanuel Derman Richard H. Thaler Professor, Financial Engineering, Columbia Father of Behavioral Economics; Director, University;... Center for... Can Machines Ever Be As Smart As Three- An Extraterrestrial Observation About Year-Olds? Human Hubris Alison Gopnik Ernst Pöppel Psychologist, UC, Berkeley; Author, The Neuroscientist; Chairman, Board of Directors Philosophical Baby Human Science... Human Responsibility For Machines That It's Not About The Human Species: It's Think About Civilizations Margaret Levi Luca De Biase Director, Center For Advanced Study in Journalist; Editor, Nova 24, of Il Sole 24 Ore Behavioral Sciences... Artificial Intelligence Will Make You What If They Need To Suffer? Smarter Thomas Metzinger Terrence J. Sejnowski Professor of Philosophy, Philosophisches Computational Neuroscientist; Francis Crick Seminar, Johannes... Professor, the... Amplifiers/Implementers Of Consciously- No Machine Has Ever Thought About The Directed Human Choices Eternal Questions D.A. Wallach Leo M. Chalupa Recording Artist; Songwriter; Artist in Neurobiologist; Vice President of Research, Residence, Spotify George... Thinking Machines Call Them Artificial Aliens Bruce Sterling Kevin Kelly Science Fiction and Fantasy Writers of Senior Maverick, Wired, Author, Cool Tools; America What Technology... Do Machines Do? Leveraging Human Intelligence Martin Seligman Keith Devlin Professor and Director, Positive Psychology Mathematician; Executive Director, H-STAR Center,... Institute,... Yes, But The Values Of Artificial Intelligence Neil Gershenfeld S. Abbas Raza Physicist, Director, MIT's Center for Bits and Founding Editor, 3QuarksDaily.com Atoms;... A Cultural Context Humanness Daniel L. Everett Douglas Coupland Linguistic Researcher; Dean of Arts and Writer, Artist, Designer; Author; Google Artist Sciences, Bentley... in Residence Are We Thinking More Like Machines That Manipulators and Manipulanda Think? Joshua Bongard Ziyad Marar Associate Professor of Computer Science, Global Publishing Director, SAGE; Author, University of... Intimacy:... Thinking About Thinking Machines AI's Will Save Us All Thomas A. Bass Frank Tipler English Professor, University at Albany; Professor of Mathematical Physics, Tulane Author, The Spy... University;... Intelligent Machines—On Earth And eGaia—A Distributed Technical-Social Beyond Mental System Mario Livio Marti Hearst Astrophysicist, Space Telescope Science Computer Scientist, UC Berkeley, School of Institute; Author,... Information;... Will Thinking Machines Evolve To Be As The Global Artificial Intelligence Is Here Wonderful As Dogs? Alex (Sandy) Pentland Randolph Nesse Professor of Computer Science, MIT; Director, Professor of Life Sciences, Director, Center Human... for Evolution... Machines Will Always Lack Feeling Or "Naches" from our Machines Emotion Samuel Arbesman Gerald Smallberg Complex Systems Scientist and Writer; Practicing Neurologist, New York City; Senior Adjunct Fellow... Playwright, Off-Off... It's Going To Be A Wild Ride Thinking Saltmarshes John C. Mather Ursula Martin Senior Astrophysicist, Observational Professor of Computer Science, University of Cosmology Laboratory,... Oxford Killer Thinking Machines Keep Human Robodoctors Could Provide Better Consciences Clean Psychology, Not Just Technology Kurt Gray Gerd Gigerenzer Assistant Professor of Psychology, University Psychologist; Director of the Center for of North... Adaptive Behavior... Tic-Tac-Toe Chicken A Crisis of Control Kevin Slavin Nicholas G. Carr Assistant Professor and Founder, Playful Author, The Shallows and The Glass Cage Systems, MIT Media... An Uncanny Three-Ring Test For "Machina Don't Just Think, Feel Sapiens" Timo Hannay Kai Krause Managing Director, Digital Science, Software Pioneer; Philosopher; Author, "A Macmillan Publishers;... Realtime... AI Will Make Us Smart And Robots Afraid Shallow Learning Alun Anderson Seth Lloyd Senior Consultant (& former Editor-in-Chief Professor of Quantum Mechanical &... Engineering, MIT; Author,... Doing Justice To Machines In An Machines That Think "Organicist" World Mary Catherine Bateson Steve Fuller Professor Emerita, George Mason University; Philosopher; Auguste Comte Chair in Social Visiting... Epistemology,... This Sounds Like Heaven Machines That Work Until They Don't Virginia Heffernan Barbara Strauch Columnist, The New York Times Magazine; Science Editor, The New York Times; Author, Editorial Director... The Secret Life... Thinking Machines Are About We Are All Machines That Think Communication Sean Carroll Sheizaf Rafaeli Theoretical Physicist, Caltech; Author, The Professor, Director, The Center for
Load more

Recommended publications
  • Download Book of Abstracts
    Complex Nanophotonics Science Camp cumberland lodge Windsor Great Park Berkshire, SL4 2HP, UK 27th–30th August 2013 Bringing together early career scientists to bridge Nanophotonics, Plasmonics & Biophotonics of complex media. Jacopo Bertolotti Twente University, The Netherlands [email protected] www.jacopobertolotti.com Otto Muskens COMMITTEE Southampton University, UK [email protected] www.ottolmuskens.info Sylvain Gigan Langevin Institute, ESPCI, France [email protected] www.institut-langevin.espci.fr/Sylvain-Gigan,510 Riccardo Sapienza SCIENTIFIC King’s College London, UK [email protected] www.sapienzalab.org Conference Secretary Julia Kilpatrick [email protected] www.sciencecamp.eu Niek van Hulst ICFO, The Institute of Photonic Science tracking nanoScale coherent energy tranSfer in Single light harveSting complexeS p16–17 SPEAKERS Stefania Residori Institut Non Lineaire de Nice , INLN–CNRS Self-adaptive holography in nonlinear media p18–19 Aristide Dogariu CREOL, Florida mechanical action in complex electromagnetic fieldS KEYNOTE p20–21 Rashid Zia Regine Frank Brown University KIT, Karlsruhe Institute of Technology a multipolar emitter: can 1 tranSition the quantum nature illuminate 2 pathS? of random laSerS p22–23 p42–43 SPEAKERS Tomas Cizmar Jaesuk Hwang University of St. Andrews Imperial College photonicS in Single organic dye diSordered moleculeS aS Single environmentS and photon SourceS fibre baSed imaging and large optical nonlinearitieS on a photonic chip p28–29 p44–45 Wonshik Choi Andrea
    [Show full text]
  • TEDX – What's Happening with Artificial Intelligence
    What’s Happening With Artificial Intelligence? Steve Omohundro, Ph.D. PossibilityResearch.com SteveOmohundro.com SelfAwareSystems.com http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html Multi-Billion Dollar Investments • 2013 Facebook – AI lab • 2013 Ebay – AI lab • 2013 Allen Institute for AI • 2014 IBM - $1 billion in Watson • 2014 Google - $500 million, DeepMind • 2014 Vicarious - $70 million • 2014 Microsoft – Project Adam, Cortana • 2014 Baidu – Silicon Valley • 2015 Fanuc – Machine Learning for Robotics • 2015 Toyota – $1 billion, Silicon Valley • 2016 OpenAI – $1 billion, Silicon Valley http://www.mckinsey.com/insights/business_technology/disruptive_technologies McKinsey: AI and Robotics to 2025 $50 Trillion! US GDP is $18 Trillion http://cdn-media-1.lifehack.org/wp-content/files/2014/07/Cash.jpg 86 Billion Neurons https://upload.wikimedia.org/wikipedia/commons/e/ef/Human_brain_01.jpg http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776484/ The Connectome http://discovermagazine.com/~/media/Images/Issues/2013/Jan-Feb/connectome.jpg 1957 Rosenblatt’s “Perceptron” http://www.rutherfordjournal.org/article040101.html http://bio3520.nicerweb.com/Locked/chap/ch03/3_11-neuron.jpg https://upload.wikimedia.org/wikipedia/commons/3/31/Perceptron.svg “The embryo of an electronic computer that [the Navy] expects will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.” https://en.wikipedia.org/wiki/Perceptron 1986 Backpropagation http://www.ifp.illinois.edu/~yuhuang/samsung/ANN.png
    [Show full text]
  • The Political Methodologist
    The Political Methodologist Newsletter of the Political Methodology Section American Political Science Association Volume 23, Number 1, Fall 2015 Editor: Associate Editors: Justin Esarey, Rice University Randolph T. Stevenson, Rice University [email protected] [email protected] Editorial Assistant: Ahra Wu, Rice University Rick K. Wilson, Rice University [email protected] [email protected] Contents eight political scientists comment on their experiences as au- thors, reviewers, and/or editors dealing with the scientific Notes from the Editors 1 peer review process and (in some cases) offer suggestions to improve that process. Our contributions come from authors Special Issue on Peer Review 2 at very different levels of rank and subfield specialization Justin Esarey: Introduction to the Special Issue / in the discipline and consequently represent a diversity of Acceptance Rates and the Aesthetics of Peer viewpoints within political methodology. Review . .2 Additionally, some of the contributors to this issue will Brendan Nyhan: A Checklist Manifesto for Peer participate in an online roundtable discussion on March Review . .4 18th at 12:00 noon (Eastern time) as a part of the Interna- Danilo Freire: Peering at Open Peer Review . .6 tional Methods Colloquium. If you want to add your voice Thomas J. Leeper: The Multiple Routes to Cred- to this discussion, we encourage you to join the roundtable ibility . 11 audience! Participation in the roundtable discussion is free Thomas Pepinsky: What is Peer Review For? and open to anyone around the world (with internet access Why Referees are not the Disciplinary Police 16 and a PC or Macintosh). Visit the IMC registration page Sara McLaughlin Mitchell: An Editor's Thoughts linked here to register to participate or visit www.methods- on the Peer Review Process .
    [Show full text]
  • Artificial Intelligence: Distinguishing Between Types & Definitions
    19 NEV. L.J. 1015, MARTINEZ 5/28/2019 10:48 AM ARTIFICIAL INTELLIGENCE: DISTINGUISHING BETWEEN TYPES & DEFINITIONS Rex Martinez* “We should make every effort to understand the new technology. We should take into account the possibility that developing technology may have im- portant societal implications that will become apparent only with time. We should not jump to the conclusion that new technology is fundamentally the same as some older thing with which we are familiar. And we should not hasti- ly dismiss the judgment of legislators, who may be in a better position than we are to assess the implications of new technology.”–Supreme Court Justice Samuel Alito1 TABLE OF CONTENTS INTRODUCTION ............................................................................................. 1016 I. WHY THIS MATTERS ......................................................................... 1018 II. WHAT IS ARTIFICIAL INTELLIGENCE? ............................................... 1023 A. The Development of Artificial Intelligence ............................... 1023 B. Computer Science Approaches to Artificial Intelligence .......... 1025 C. Autonomy .................................................................................. 1026 D. Strong AI & Weak AI ................................................................ 1027 III. CURRENT STATE OF AI DEFINITIONS ................................................ 1029 A. Black’s Law Dictionary ............................................................ 1029 B. Nevada .....................................................................................
    [Show full text]
  • Digital Scholarship 2009 (PDF)
    DIGITAL SCHOLARSHIP 2009 CHARLES W. BAILEY, JR. DIGITAL SCHOLARSHIP HOUSTON, TX Digital Scholarship 2009 Copyright © 2010 by Charles W. Bailey, Jr. Cover photographs (before alteration) by NASA. This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http:// creativecommons.org/licenses/by/3.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. http://www.digital-scholarship.org/ The author makes no warranty of any kind, either express or implied, for information in Digital Scholarship 2009, which is provided on an "as is" basis. The author does not assume and hereby disclaims any liability to any party for any loss or damage resulting from the use of information in Digital Scholarship 2009. Table of Contents Scholarly Electronic Publishing Bibliography: 2009 Annual Edition 1 Dedication 1 1 Economic Issues 3 2 Electronic Books and Texts 16 2.1 Case Studies and History 16 2.2 General Works 24 2.3 Library Issues 36 3 Electronic Serials 44 3.1 Case Studies and History 44 3.2 Critiques 54 3.3 Electronic Distribution of Printed Journals 56 3.4 General Works 59 3.5 Library Issues 72 3.6 Research 90 4 General Works 115 5 Legal Issues 135 5.1 Intellectual Property Rights 135 5.2 License Agreements 163 6 Library Issues 174 6.1 Cataloging, Identifiers, Linking, and Metadata 174 6.2 Digital Libraries 204 6.3 General Works 247 6.4 Information Integrity and Preservation 265 7 New Publishing Models 296 8 Publisher Issues 341 8.1 Digital Rights Management and User Authentication 350 9 Repositories, E-Prints, and OAI 359 Appendix A.
    [Show full text]
  • An Open Letter to the United Nations Convention on Certain Conventional Weapons
    An Open Letter to the United Nations Convention on Certain Conventional Weapons As companies building the technologies in Artificial Intelligence and Robotics that may be repurposed to develop autonomous weapons, we feel especially responsible in raising this alarm. We warmly welcome the decision of the UN’s Conference of the Convention on Certain Conventional Weapons (CCW) to establish a Group of Governmental Experts (GGE) on Lethal Autonomous Weapon Systems. Many of our researchers and engineers are eager to offer technical advice to your deliberations. We commend the appointment of Ambassador Amandeep Singh Gill of India as chair of the GGE. We entreat the High Contracting Parties participating in the GGE to work hard at finding means to prevent an arms race in these weapons, to protect civilians from their misuse, and to avoid the destabilizing effects of these technologies. We regret that the GGE’s first meeting, which was due to start today, has been cancelled due to a small number of states failing to pay their financial contributions to the UN. We urge the High Contracting Parties therefore to double their efforts at the first meeting of the GGE now planned for November. Lethal autonomous weapons threaten to become the third revolution in warfare. Once developed, they will permit armed conflict to be fought at a scale greater than ever, and at timescales faster than humans can comprehend. These can be weapons of terror, weapons that despots and terrorists use against innocent populations, and weapons hacked to behave in undesirable ways. We do not have long to act. Once this Pandora’s box is opened, it will be hard to close.
    [Show full text]
  • Between Ape and Artilect Createspace V2
    Between Ape and Artilect Conversations with Pioneers of Artificial General Intelligence and Other Transformative Technologies Interviews Conducted and Edited by Ben Goertzel This work is offered under the following license terms: Creative Commons: Attribution-NonCommercial-NoDerivs 3.0 Unported (CC-BY-NC-ND-3.0) See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details Copyright © 2013 Ben Goertzel All rights reserved. ISBN: ISBN-13: “Man is a rope stretched between the animal and the Superman – a rope over an abyss.” -- Friedrich Nietzsche, Thus Spake Zarathustra Table&of&Contents& Introduction ........................................................................................................ 7! Itamar Arel: AGI via Deep Learning ................................................................. 11! Pei Wang: What Do You Mean by “AI”? .......................................................... 23! Joscha Bach: Understanding the Mind ........................................................... 39! Hugo DeGaris: Will There be Cyborgs? .......................................................... 51! DeGaris Interviews Goertzel: Seeking the Sputnik of AGI .............................. 61! Linas Vepstas: AGI, Open Source and Our Economic Future ........................ 89! Joel Pitt: The Benefits of Open Source for AGI ............................................ 101! Randal Koene: Substrate-Independent Minds .............................................. 107! João Pedro de Magalhães: Ending Aging ....................................................
    [Show full text]
  • Letters to the Editor
    Articles Letters to the Editor Research Priorities for is a product of human intelligence; we puter scientists, innovators, entrepre - cannot predict what we might achieve neurs, statisti cians, journalists, engi - Robust and Beneficial when this intelligence is magnified by neers, authors, professors, teachers, stu - Artificial Intelligence: the tools AI may provide, but the eradi - dents, CEOs, economists, developers, An Open Letter cation of disease and poverty are not philosophers, artists, futurists, physi - unfathomable. Because of the great cists, filmmakers, health-care profes - rtificial intelligence (AI) research potential of AI, it is important to sionals, research analysts, and members Ahas explored a variety of problems research how to reap its benefits while of many other fields. The earliest signa - and approaches since its inception, but avoiding potential pitfalls. tories follow, reproduced in order and as for the last 20 years or so has been The progress in AI research makes it they signed. For the complete list, see focused on the problems surrounding timely to focus research not only on tinyurl.com/ailetter. - ed. the construction of intelligent agents making AI more capable, but also on Stuart Russell, Berkeley, Professor of Com - — systems that perceive and act in maximizing the societal benefit of AI. puter Science, director of the Center for some environment. In this context, Such considerations motivated the “intelligence” is related to statistical Intelligent Systems, and coauthor of the AAAI 2008–09 Presidential Panel on standard textbook Artificial Intelligence: a and economic notions of rationality — Long-Term AI Futures and other proj - Modern Approach colloquially, the ability to make good ects on AI impacts, and constitute a sig - Tom Dietterich, Oregon State, President of decisions, plans, or inferences.
    [Show full text]
  • On the Danger of Artificial Intelligence
    On The Danger of Artificial Intelligence Saba Samiei A thesis submitted to Auckland University of Technology in fulfilment of the requirements for the degree of Master of Computing and Information Sciences (MCIS) July 2019 School of Engineering, Computer and Mathematical Sciences 1 | P a g e Abstract In 2017, the world economic forum announced that AI would increase the global economy by USD 16 trillion by 2030 (World Economic Forum, 2017). Yet, at the same time, some of the world’s most influential leaders warned us about the danger of AI. Is AI good or bad? Of utmost importance, is AI an existential threat to humanity? This thesis examines the latter question by breaking it down into three sub-questions, is the danger real?, is the defence adequate?, and how a doomsday scenario could happen?, and critically reviewing the literature in search for an answer. If true, and sadly it is, I conclude that AI is an existential threat to humanity. The arguments are as follows. The current rapid developments of robots, the success of machine learning, and the emergence of highly profitable AI companies will guarantee the rise of the machines among us. Sadly, among them are machines that are destructive, and the danger becomes real. A review of current ideas preventing such a doomsday event is, however, shown to be inadequate and a futuristic look at how doomsday could emerge is, unfortunately, promising! Keywords: AI, artificial intelligence, ethics, the danger of AI. 2 | P a g e Acknowledgements No work of art, science, anything in between or beyond is possible without the help of those currently around us and those who have previously laid the foundation of success for us.
    [Show full text]
  • Beneficial AI 2017
    Beneficial AI 2017 Participants & Attendees 1 Anthony Aguirre is a Professor of Physics at the University of California, Santa Cruz. He has worked on a wide variety of topics in theoretical cosmology and fundamental physics, including inflation, black holes, quantum theory, and information theory. He also has strong interest in science outreach, and has appeared in numerous science documentaries. He is a co-founder of the Future of Life Institute, the Foundational Questions Institute, and Metaculus (http://www.metaculus.com/). Sam Altman is president of Y Combinator and was the cofounder of Loopt, a location-based social networking app. He also co-founded OpenAI with Elon Musk. Sam has invested in over 1,000 companies. Dario Amodei is the co-author of the recent paper Concrete Problems in AI Safety, which outlines a pragmatic and empirical approach to making AI systems safe. Dario is currently a research scientist at OpenAI, and prior to that worked at Google and Baidu. Dario also helped to lead the project that developed Deep Speech 2, which was named one of 10 “Breakthrough Technologies of 2016” by MIT Technology Review. Dario holds a PhD in physics from Princeton University, where he was awarded the Hertz Foundation doctoral thesis prize. Amara Angelica is Research Director for Ray Kurzweil, responsible for books, charts, and special projects. Amara’s background is in aerospace engineering, in electronic warfare, electronic intelligence, human factors, and computer systems analysis areas. A co-founder and initial Academic Model/Curriculum Lead for Singularity University, she was formerly on the board of directors of the National Space Society, is a member of the Space Development Steering Committee, and is a professional member of the Institute of Electrical and Electronics Engineers (IEEE).
    [Show full text]
  • Keynote: Can We Coexist with Superintelligent Machines?
    ETC. the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision- making, and translation between languages. -- The New Oxford American Dictionary. 3rd ed. the ability to achieve goals in a variety of novel environments, and to learn. We humans steer the future not because we’re the fastest creature or the strongest creature. We steer the future because we’re the most intelligent. When we share the planet with creatures more intelligent than we are, they’ll steer the future. … a century from now, nobody will much care about how long it took (to create superintelligence in a machine), only what happened next. It’s likely that machines will be smarter than us before the end of the century— not just at chess or trivia questions but at just about everything, from mathematics and engineering to science and medicine. — Gary Marcus, The New Yorker Machines will follow a path that mirrors the evolution of humans. Ultimately however, self- aware, self-improving machines will evolve beyond humans’ ability to control or even understand them. – Ray Kurzweil Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an 'intelligence explosion,' and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make..
    [Show full text]
  • The Map of Organisation and People Involved in X
    Organizations, sites and people involved in x-risks prevention Global Impact Nano Size and level of AI risks General x-risks Nuclear Bio-risks influence warming risks risks FHI Future of humanity institute Bulletin of IPCC World Health NASA Foresight Known MIRI FLI Club of Rome Organization link (Former Singularity Future of life institute Oxford, link Still exist! Atomic International (WHO) institute very well institute) Elon Musk Nick Bostrom Were famous in 1970s when they pro- panel of climate and large Scientists change includes a division called the Global link E.Yudkowsky link list of researchers duced “Limits of growth” Link Alert and Response (GAR) which mon- Famous doomsday itors and responds to global epidemic amount of work link crisis. GAR helps member states with clock training and coordination of response to is done epidemics. link link OpenAI Oxford Martin CSER EA B612 Elon Musk Programme Cambridge center of existential risks The United States Effective altruism on the Impacts of Future wiki Martin Rees, link The Forum Agency for Interna- Foundation Open Philanthropy Technology, link for Climate tional Development project (USAID) 80’000 hours Nuclear Engineering has its Emerging Pandemic Threats Program which aims to prevent and threat Initia- Assessment contain naturally generated pandemics Got grant from OFP at their source.[129] Global Priorities X-risks GCRI Foundational Skoll Global CISAC tive link Large and Global catastrophic risks Project institute institute, Research Threats Fund “The Center for Internation- interest-
    [Show full text]