Machine Performance and Human Failure: How Shall We Regulate Autonomous Systems?
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ARCHITECTS of INTELLIGENCE for Xiaoxiao, Elaine, Colin, and Tristan ARCHITECTS of INTELLIGENCE
MARTIN FORD ARCHITECTS OF INTELLIGENCE For Xiaoxiao, Elaine, Colin, and Tristan ARCHITECTS OF INTELLIGENCE THE TRUTH ABOUT AI FROM THE PEOPLE BUILDING IT MARTIN FORD ARCHITECTS OF INTELLIGENCE Copyright © 2018 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. Acquisition Editors: Ben Renow-Clarke Project Editor: Radhika Atitkar Content Development Editor: Alex Sorrentino Proofreader: Safis Editing Presentation Designer: Sandip Tadge Cover Designer: Clare Bowyer Production Editor: Amit Ramadas Marketing Manager: Rajveer Samra Editorial Director: Dominic Shakeshaft First published: November 2018 Production reference: 2201118 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK ISBN 978-1-78913-151-2 www.packt.com Contents Introduction ........................................................................ 1 A Brief Introduction to the Vocabulary of Artificial Intelligence .......10 How AI Systems Learn ........................................................11 Yoshua Bengio .....................................................................17 Stuart J. -
Book Reviews on Global Economy and Geopolitical Readings
Book reviews on global economy and geopolitical readings 5 8 The Rise of the Robots: Technology and the Threat of Mass Unemployment Ford, Martin, (2015), Oneworld Publications, Britain. “The frightening reality is that if we don’t recognize and adapt to the implications of advancing technology, we may face the prospect of a “perfect storm” where the impacts from soaring inequality, technological unemployment, and climate change unfold roughly in parallel, and in some ways amplify and reinforce each other. If, however, we can fully leverage advancing technology as a solution – while recognizing and adapting to its implications for employment and the distribution of income – then the outcome is likely to be far more optimistic. Negotiating a path through these entangled forces and crafting a future that offers broad-based security and prosperity may prove to be the greatest challenge for our time.” Summary The robots are coming and we have to decide whether a future with them will bring prosperity or disaster. Historically, there has always been widespread scepticism that technological progress could bring disaster. Moreover, there were supporting arguments: in the West, especially in the twentieth century, the development of technology led to a more prosperous society. As the machines used in production processes improved, so did the productivity of workers operating the machines. This made the workers more valuable, and enabled them to demand higher wages. However, for the author of The Rise of the Robots, there are good reasons to believe that this spiral of progress has changed. For example, the average American employee in the manufacturing sector in 2013 earned 13% less than in 1973, although productivity had increased by 107% – and prices of housing, education, and health had increased exponentially. -
Architects of Intelligence Release
ARCHITECTS OF INTELLIGENCE Contact: Jane Wesman The Truth about AI from the People [email protected] Building It 212-620-4080 x11 by Martin Ford or Publisher: Packt Publishing Andrea J. Stein Publication Date: November 27, 2018 [email protected] Price: $24.99/paperback; $19.99/Kindle 212-620-4080 x15 ISBN: 978-1-78913-151-2/paperback Twenty-Three Top AI Scientists and Entrepreneurs Explore the Promise and Pitfalls of Artificial Intelligence With Bestselling Author Martin Ford in ARCHITECTS OF INTELLIGENCE The incredible power of artificial intelligence is awe-inspiring. Not long ago, AI seemed like some form of science fiction. Today it is our reality. “It is becoming a true general purpose technology that is quickly evolving into a utility – not unlike electricity – likely to scale across every industry, every sector of our economy, and nearly every aspect of science, society, and culture,” explains New York Times bestselling author Martin Ford in his new book ARCHITECTS OF INTELLIGENCE The Truth about AI from the People Building It (Packt Publishing; November 27, 2018). To better understand the many complex issues surrounding AI, Ford interviewed twenty- three of the world’s top research scientists and entrepreneurs – experts whose work is helping to drive the AI revolution. These wide-ranging conversations form the heart of ARCHITECTS OF INTELLIGENCE, covering such topics as: *How will AI evolve and what major innovations are on the horizon? *Will deep learning continue to dominate, or will other approaches come to the forefront? *What does the path toward human-level Artificial General Intelligence look like? How far off is it? *What are the risks associated with AI, particularly in the areas of security, privacy, bias, the impact on the job market, and potential weaponization. -
50 AI Influencer for Image Version
50 AI Influencers to follow on Twitter (Listed Alphabetically) NO. Twitter handle Name Company Description NO. Twitter handle Name Company Description Alex Co-Founder creative.ai, Director @nuclai 1 @alexjc Creative.ai 26 @MarkTabNet Mark Tabladillo Microsoft Services Lead Data Scientist at Microsoft Services Champandard conference, Artificial Intelligence expert Silicon Valley Bringing robots into the real world, startup by Martin F. Author of Raising Author of Raising HAL, a blog about A.I. and data 2 @RobotLaunch Andra Keay 27 @mjrobbins Robotics startup, event by event, deal by deal. Robbins HAL at The Guardian. Director of AI at Tesla. Previously a Research Futurist & NY Times bestselling author of Rise of Futurist & NY Times 3 @karpathy Andrej Karpathy Tesla Scientist at OpenAI, and CS PhD student at 28 @MFordFuture Martin Ford the Robots about artificial intelligence, robots, job bestselling author Stanford. automation & the future economy Co-Founder of Coursera; Stanford CS adjunct Head of Data Science at Uber ATG & UC Berkeley 4 @AndrewYNg Andrew Ng Coursera faculty. Former head of Baidu AI Group/Google 29 @MikeTamir Mike Tamir Uber Faculty Brain. Executive Partner, Cognitive Process Independent Data Science & AI advisor, Equity Partner at Data 5 @andyjankowski Andy Jankowski IBM Transformation (Artificial Intelligence) at IBM. 30 @mrogati Monica Rogati Consultant Collective, Guest Lecturer at Stanford Founder and Owner WorkingEvolved. Former USN intelligence and DIA CTO. Author: Nathan 6 @bobgourley Bob Gourley CTOVision The Cyber Threat. Publisher of CTOvision and 31 @NathanBenaich Point Nine Capital Venture Partner at Point Nine Capital Benaich ThreatBrief. Founder of CrucialPoint New York Times reporter, covering A.I., driverless CEO of aidotio and Moonshot_na | Member 7 @CadeMetz Cade Metz The New York Times 32 @terence_mills Terence Mills Moonshot cars, robotics, and other big changes. -
Rise of the Robots
Rise of the Robots Technology and the Threat of a Jobless Future MARTIN FORD A Member of the Perseus Books Group New York 2015 CONTENTS INTRODUCTION Introduction ix Sometime during the 1960s, the Nobel laureate economist Mil- Chapter 1 The Automation Wave 1 ton Friedman was consulting with the government of a developing Chapter 2 Is This Time Different? 29 Asian nation. Friedman was taken to a large-scale public works proj- Chapter 3 Information Technology: ect, where he was surprised to see large numbers of workers wielding An Unprecedented Force for Disruption 63 shovels, but very few bulldozers, tractors, or other heavy earth-moving equipment. When asked about this, the government official in charge Chapter 4 White-Collar Jobs at Risk 83 explained that the project was intended as a “jobs program.” Fried- Chapter 5 Transforming Higher Education 129 man’s caustic reply has become famous: “So then, why not give the Chapter 6 The Health Care Challenge 145 workers spoons instead of shovels?” Friedman’s remark captures the skepticism—and often outright Chapter 7 Technologies and Industries of the Future 175 derision—expressed by economists confronting fears about the pros- Chapter 8 Consumers, Limits to Growth . and Crisis? 193 pect of machines destroying jobs and creating long-term unemploy- Chapter 9 Super-Intelligence and the Singularity 229 ment. Historically, that skepticism appears to be well-founded. In the United States, especially during the twentieth century, advancing tech- Chapter 10 Toward a New Economic Paradigm 249 nology has consistently driven us toward a more prosperous society. Conclusion 281 There have certainly been hiccups—and indeed major disruptions— Acknowledgments 285 along the way. -
A Free Lunch with Robots – Can a Basic Income Stabilise the Digital Economy?
Main Article Transfer 2017, Vol. 23(3) 295–311 ª The Author(s) 2017 A free lunch with robots – can Reprints and permission: sagepub.co.uk/journalsPermissions.nav a basic income stabilise DOI: 10.1177/1024258917708704 the digital economy? journals.sagepub.com/home/trs Ville-Veikko Pulkka University of Helsinki, Helsinki, Finland Summary The discussion on the possible implications of the digital economy for labour continues unabated. An essential dimension of the discussion is the widely shared view that a basic income could guarantee sufficient purchasing power for unemployed, underemployed and precarious workers should technological unemployment and labour market insecurity increase. A budget-neutral basic income has serious limitations as an economic stabilisation grant, but if financing proposals are revised, these limitations can be tackled. Even though guaranteeing sufficient purchasing power for unemployed, underemployed and precarious workers does not necessarily require an uncondi- tional universal benefit, it seems clear that traditional activation based on strict means-testing and obligations will not be a strategy flexible enough to guarantee sufficient consumer demand in fluctuating labour markets. An economically sustainable solution might be to reduce means-testing gradually and to study carefully the effects. Re´sume´ La discussion sur les implications possibles de l’e´conomie nume´rique pour les travailleurs continue de plus belle. Une dimension essentielle de ce de´bat est la conception, largement partage´e, selon laquelle un revenu de base pourrait garantir un pouvoir d’achat suffisant pour les travailleurs sans emploi, sous-employe´s et pre´caires si le choˆmage technologique et l’inse´curite´ sur le marche´ du travail venaient a` s’accroıˆtre. -
Marx Vs. the Robots
Marx vs. the Robots J. Jesse Ramírez ABSTRACT Debates about automation and the future of work have proliferated in the aftermath of the Great Recession of 2007-2009. From smart software to nimble industrial robots, new labor-sav- ing technologies seem to explain why the post-Recession period has witnessed the decoupling of economic growth and employment. This essay argues that Marx’s contribution to the automa- tion debate is his critique of the contradictions and hollow promises of capitalist technological progress. For Marx, although robots could potentially help transform labor time, they are ulti- mately frauds that express the emancipatory potential of science and technology in the inverted form of humanized machines and mechanized, superfluous humans. On the one hand, there have started into life industrial and scientific forces, which no epoch of the former human history had ever suspected. On the other hand, there exist symptoms of decay, far surpassing the horrors recorded of the latter times of the Roman Empire. In our days, everything seems pregnant with its contrary. Machinery, gifted with the wonderful power of shortening and fructifying human labour, we behold starv- ing and overworking it. […] All our invention and progress seem to result in endowing material forces with intellectual life, and in stultifying human life into a material force. (Marx, “Speech” 655-66) I. Rise of the Robots Derek Thompson’s article “A World Without Work,” published in The Atlantic in 2015, features fictionalized photographs of what I imagine to be a Museum of Work. One photograph shows a businessman encased in glass: “Full-Time Worker Circa 2016.” Another image is of a coffee mug, which is labeled “Typical Work- place Warm-Beverage Container,” while another picture of “Factory Man…Ex- tinct” depicts a man in a hard hat who resembles the stuffed hominid ancestors that we find in the anthropology wing of today’s museums. -
By Martin Ford in the Light of the SP Theory of Intelligence
Comments on the book \Architects of Intelligence" by Martin Ford in the light of the SP Theory of Intelligence J Gerard Wolff∗ February 13, 2019 Abstract The book \Architects of Intelligence" by Martin Ford presents con- versations about AI between the author and people who are influen- tial in the field. This paper discusses issues described in the book in relation to features of the SP System, meaning the SP Theory of Intelligence and its realisation in the SP Computer Model. The SP System, outlined in an appendix, has the potential to solve several of the problems in AI research described in the book, and some oth- ers. Strengths and potential of the SP System, which in many cases contrast with weaknesses of deep neural networks (DNNs), include the following: the system exhibits a more favourable combination of simplicity and versatility than, arguably, any alternatives; the system has strengths and long-term potential in pattern recognition; the sys- tem appears to be free of the tendency of DNNs to make large and unexpected errors in recognition; the system has strengths and poten- tial in unsupervised learning, including grammatical inference; the SP Theory of Intelligence provides a theoretically coherent basis for gen- eralisation and the avoidance of under- or over-generalisations; that theory of generalisation may help driverless cars avoid accidents; the system, unlike DNNs, can achieve learning from a single occurrence or experience; the system, unlike DNNs, has relatively tiny demands for computational resources and volumes of data, with much higher speeds in learning; the system, unlike most DNNs, has strengths in transfer learning; the system, unlike DNNs, provides transparency in ∗Dr Gerry Wolff, BA (Cantab), PhD (Wales), CEng, MIEEE; CognitionResearch.org, Menai Bridge, UK; [email protected]; +44 (0) 1248 712962; +44 (0) 7746 290775; Skype: gerry.wolff; Web: www.cognitionresearch.org. -
By Martin Ford in the Light of the SP Theory of Intelligence J Wolff
Comments on the book ”Architects of Intelligence” by Martin Ford in the light of the SP Theory of Intelligence J Wolff To cite this version: J Wolff. Comments on the book ”Architects of Intelligence” by Martin Ford in the light oftheSP Theory of Intelligence. 2019. hal-02061171 HAL Id: hal-02061171 https://hal.archives-ouvertes.fr/hal-02061171 Preprint submitted on 7 Mar 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Comments on the book \Architects of Intelligence" by Martin Ford in the light of the SP Theory of Intelligence J Gerard Wolff∗ March 7, 2019 Abstract The book Architects of Intelligence by Martin Ford presents con- versations about AI between the author and people who are influen- tial in the field. This paper discusses issues described in the book in relation to features of the SP System, meaning the SP Theory of Intelligence and its realisation in the SP Computer Model, both out- lined in an appendix. The SP System has the potential to solve most of the problems in AI described in [5], and some others. Strengths and potential of -
Machine Intelligence
Department of Psychology – Columbia University Machine Intelligence GU4236 - Fall 2020 4 points Instructor: Trenton Jerde, Ph.D. Office: Class Meets: Wednesday: 6:10 – 8:00 PM Office Hours: Room: 405 Schemerhorn Email: [email protected] Course bulletin description This course will survey historical and modern developments in machine intelligence from fields such as psychology, neuroscience, and computer science, and from intellectual movements such as cybernetics, artificial intelligence, neural networks, connectionism, machine learning, and deep learning. The emphasis is on the conceptual understanding of topics. The course does not include, nor require background in, computer programming and statistics. A crucial aspect of the seminar is for students to become informed consumers of applications of artificial intelligence. Prerequisites Undergraduate students: Undergraduate students should have taken PSYC UN1001 The Science of Psychology or an equivalent introductory psychology course. In addition, some prior coursework or experience in statistics and research methods, as well as cognitive psychology or cognitive neuroscience would be very helpful. The instructor’s permission is also required. Graduate students: Open to Ph.D. students in the Psychology department and graduate students in related departments such as computer science, neuroscience, and engineering, with instructor’s permission. Instructor The instructor is a senior editor at Nature Machine Intelligence, a scientific journal on artificial intelligence, machine learning and robotics. He has taught at the University of Minnesota (cognitive science), New York University (psychology), and Columbia University (applied analytics). He has a PhD in neuroscience from the University of Minnesota and a BA in psychology from the University of Iowa. Detailed description of the course The goal of the seminar is to arrive at a deeper understanding of machine intelligence. -
Did the Luddites Get It Right? Automation and the Labour Market
THE STUDENT ECONOMIC REVIEW VOL. XXXI DID THE LUDDITES GET IT RIGHT? AUTOMATION AND THE LABOUR MARKET PETER WILSON Junior Sophister Discontent about disappearing jobs has fuelled the polarised politics of recent elections; never have jobs lost to technology mattered more. Peter Wilson, however, examines the history of automation and its changes in the labour market in this essay, highlighting how other eras have also displayed a preoccupation with the fear of losing livelihoods to technology. This discussion of past trends sheds light on a highly relevant topic for both citizens and policy makers today. Introduction In 1930, John Maynard Keynes prophesied a “startling” future for economics: “…Assuming no important wars and no important increase in population, the economic problem may be solved, or at least within sight of solution, within a hundred years. This means that the economic problem is not the permanent problem of the human race.” (Keynes, 1930) This utopian society Keynes imagined in his essay “Economic Possibilities for our Children”, rested on the power of technology as a driver of growth, relieving workers from the necessity of work. Technology would complement, empower and raise the worker of tomorrow to at-most a “fifteen-hour workweek”. Yet almost one hundred years later, this has not been the case. Technology has had ambiguous effects on the labour market, ranging from vehement opposition and fears of automated job-loss, in the form of the Luddite Movement in the 19th century, to an uncertainty as to the extent modern technologies will render humans unemployed in the future. Estimations of “technological unemployment”, a term originally coined by Keynes in the same essay, are as high as 47% of occupational categories within the next twenty years in some studies (Frey and Osbourne, 2013). -
UBI) Offer a New and Seemingly Positive Solution
UNIVERSAL BASIC INCOME A UNION PERSPECTIVE FULL REPORT 1 UNIVERSAL BASIC INCOME A UNION PERSPECTIVE FULL REPORT THIS IS THE FULL REPORT: Universal Basic Income - A Report for Unions There is also a Political Overview document, containing the extract of the Introduction and Summary A and B of this report, accesible online; https://tinyurl.com/y32sdrw8 Written by Anna Coote and Edanur Yazici, New Economics Foundation. NEF is a British think-tank that aims to help build a “new economy where people are really in control”. The Foundation was founded in 1986 by the leaders of The Other Economic Summit (TOES) with the aim of working for a “new model of wealth creation, based on equality, diversity and economic stability”. The Foundation has around forty employees mainly based in London and is active at a range of different levels. Its programmes include work on housing, reform of the financial system, the future of work, democracy and devolution and climate and environment. About the publisher Public Services International (PSI) is a global trade union federation representing 20 million working women and men who deliver vital public services in 154 countries. PSI champions human rights, advocates for so-cial justice and promotes universal access to quality public services. PSI works with the United Nations system and in partnership with labour, civil society and other organisations [www.world-psi.org]. This Report was made possible thanks to funding from the Friedrich-Ebert-Stiftung. The Friedrich-Ebert-Stiftung (FES) is the oldest political foundation in Germany with a rich tradition in social democracy dating back to its foundation in 1925.