The Ethics of Artificial Intelligence: Superintelligence, Life 3.0 and Robot Rights
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Sustainable Development, Technological Singularity and Ethics
European Research Studies Journal Volume XXI, Issue 4, 2018 pp. 714- 725 Sustainable Development, Technological Singularity and Ethics Vyacheslav Mantatov1, Vitaly Tutubalin2 Abstract: The development of modern convergent technologies opens the prospect of a new technological order. Its image as a “technological singularity”, i.e. such “transhuman” stage of scientific and technical progress, on which the superintelligence will be practically implemented, seems to be quite realistic. The determination of the basic philosophical coordinates of this future reality in the movement along the path of sustainable development of mankind is the most important task of modern science. The article is devoted to the study of the basic ontological, epistemological and moral aspects in the reception of the coming technological singularity. The method of this study is integrating dialectical and system approach. The authors come to the conclusion: the technological singularity in the form of a “computronium” (superintelligence) opens up broad prospects for the sustainable development of mankind in the cosmic dimension. This superintelligence will become an ally of man in the process of cosmic evolution. Keywords: Technological Singularity, Superintelligence, Convergent Technologies, Cosmocentrism, Human and Universe JEL code: Q01, Q56. 1East Siberia State University of Technology and Management, Ulan-Ude, Russia [email protected] 2East Siberia State University of Technology and Management, Ulan-Ude, Russia, [email protected] V. Mantatov, V. Tutubalin 715 1. Introduction Intelligence organizes the world by organizing itself. J. Piaget Technological singularity is defined as a certain moment or stage in the development of mankind, when scientific and technological progress will become so fast and complex that it will be unpredictable. -
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. -
The Technological Singularity and the Transhumanist Dream
ETHICAL CHALLENGES The technological singularity and the transhumanist dream Miquel Casas Araya Peralta In 1997, an AI beat a human world chess champion for the first time in history (it was IBM’s Deep Blue playing Garry Kasparov). Fourteen years later, in 2011, IBM’s Watson beat two winners of Jeopardy! (Jeopardy is a general knowledge quiz that is very popular in the United States; it demands a good command of the language). In late 2017, DeepMind’s AlphaZero reached superhuman levels of play in three board games (chess, go and shogi) in just 24 hours of self-learning without any human intervention, i.e. it just played itself. Some of the people who have played against it say that the creativity of its moves make it seem more like an alien that a computer program. But despite all that, in 2019 nobody has yet designed anything that can go into a strange kitchen and fry an egg. Are our machines truly intelligent? Successes and failures of weak AI The fact is that today AI can solve ever more complex specific problems with a level of reliability and speed beyond our reach at an unbeatable cost, but it fails spectacularly in the face of any challenge for which it has not been programmed. On the other hand, human beings have become used to trivialising everything that can be solved by an algorithm and have learnt to value some basic human skills that we used to take for granted, like common sense, because they make us unique. Nevertheless, over the last decade, some influential voices have been warning that our skills PÀGINA 1 / 9 may not always be irreplaceable. -
Race in Academia
I, SOCIETY AI AND INEQUALITY: NEW DECADE, MORE CHALLENGES Mona Sloane, Ph.D. New York University [email protected] AI TECHNOLOGIES are becoming INTEGRAL to SOCIETY © DotEveryone SURVEILLANCE CAPITALISM TRADING in BEHAVIOURAL FUTURES © The Verge © The Innovation Scout TOTALIZING NARRATIVE of AI AI as a master technology = often either utopia or dystopia AI = human hubris? ”In 2014, the eminent scientists Stephen Hawking, Stuart Russell, Max Tegmark and Frank Wilczek wrote: ‘The potential benefits are huge; everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide, but the eradication of war, disease, and poverty would be high on anyone's list. Success in creating AI would be the biggest event in human history’.” Artificial General Intelligence? CORRELATION CAUSATION Race Race Gender Class INTERSECTIONAL INEQUALITY ETHICS EVERYWHERE EVERYWHERE EVERYWHERE EVERYWHERE EVERYWHERE EVERYWHERE EVERYWHERE ETHICS as POLICY APPROACH or as TECHNOLOGY APPROACH The ‘SOCIAL’ Problem ETHICS IS A SMOKESCREEN WHOSE HEAD – OR “INTELLIGENCE” – ARE TRYING TO MODEL, ANYWAY? THE FOUNDERS OF THE ”BIG 5 TECH COMPANIES”: AMAZON, FACEBOOK, ALPHABET, APPLE, MICROSOFT BIG TECH, BIG BUSINESS https://www.visualcapitalist.com/how-big-tech-makes-their-billions-2020/ 1956 DARTMOUTH CONFRENCE THE DIVERSITY ARGUMENT IS IMPORTANT. BUT IT IS INSUFFICIENT. EXTRACTION as a social super structure Prediction Dependency Extraction EXTRACTION Capitalism Racism White Supremacy Settler Colonialism Carcerality Heteronormativity … SCIENCE = ONTOLOGICAL AND EPISTEMOLOGICAL ENGINE Real world consequences of classification systems: racial classification in apartheid South Africa Ruha Benjamin, Alondra Nelson, Charlton McIlwain, Meredith Broussard, Andre Brock, Safiya Noble, Mutale Nkonde, Rediet Abebe, Timnit Gebru, Joy Buolamwini, Jessie Daniels, Sasha Costanza- Chock, Marie Hicks, Anna Lauren Hoffmann, Laura Forlano, Danya Glabau, Kadija Ferryman, Vincent Southerland – and more. -
The Time for a National Study on AI Is NOW
The Time For a National Study On AI is NOW Subscribe Past Issues Translate RSS View this email in your browser "I think we should be very careful about artificial intelligence. If I were to guess at what our biggest existential threat is, it’s probably that. With artificial intelligence, we are summoning the demon." Elon Musk, CEO, Tesla Motors & SpaceX ARTIFICIAL INTELLIGENCE STUDY: AI TODAY, AI TOMORROW We are following up on our last message about a proposed National Study on Artificial Intelligence. We very much appreciate the responses and encouragement we have received, and welcome input and questions from any League and/or its members on this subject. http://mailchi.mp/35a449e1979f/the-time-for-a-national-study-on-ai-is-now?e=[UNIQID][12/20/2017 6:29:08 PM] The Time For a National Study On AI is NOW We believe that the pace of development of AI and the implications of its advancement make this an extremely timely subject. AI is becoming an important part of our society - from medical uses to transportation to banking to national defense. Putting off this study will put us behind in the progress being made in AI. We again request that your League consider supporting this study at your program planning meeting. The reason to propose this study now is because there are currently no positions that address many of the issues that fall under the umbrella of this relatively new and powerful technology. For several years now private groups and even countries (like Russia, China and Korea) have made it a priority to develop mechanical brains/computers that can function intelligently http://mailchi.mp/35a449e1979f/the-time-for-a-national-study-on-ai-is-now?e=[UNIQID][12/20/2017 6:29:08 PM] The Time For a National Study On AI is NOW and command robots or other machines to perform some task. -
Arxiv:1202.4545V2 [Physics.Hist-Ph] 23 Aug 2012
The Relativity of Existence Stuart B. Heinrich [email protected] October 31, 2018 Abstract Despite the success of modern physics in formulating mathematical theories that can predict the outcome of experiments, we have made remarkably little progress towards answering the most fundamental question of: why is there a universe at all, as opposed to nothingness? In this paper, it is shown that this seemingly mind-boggling question has a simple logical answer if we accept that existence in the universe is nothing more than mathematical existence relative to the axioms of our universe. This premise is not baseless; it is shown here that there are indeed several independent strong logical arguments for why we should believe that mathematical existence is the only kind of existence. Moreover, it is shown that, under this premise, the answers to many other puzzling questions about our universe come almost immediately. Among these questions are: why is the universe apparently fine-tuned to be able to support life? Why are the laws of physics so elegant? Why do we have three dimensions of space and one of time, with approximate locality and causality at macroscopic scales? How can the universe be non-local and non-causal at the quantum scale? How can the laws of quantum mechanics rely on true randomness? 1 Introduction can seem astonishing that anything exists” [73, p.24]. Most physicists and cosmologists are equally perplexed. Over the course of modern history, we have seen advances in Richard Dawkins has called it a “searching question that biology, chemistry, physics and cosmology that have painted rightly calls for an explanatory answer” [26, p.155], and Sam an ever-clearer picture of how we came to exist in this uni- Harris says that “any intellectually honest person will admit verse. -
Download Global Catastrophic Risks 2020
Global Catastrophic Risks 2020 Global Catastrophic Risks 2020 INTRODUCTION GLOBAL CHALLENGES FOUNDATION (GCF) ANNUAL REPORT: GCF & THOUGHT LEADERS SHARING WHAT YOU NEED TO KNOW ON GLOBAL CATASTROPHIC RISKS 2020 The views expressed in this report are those of the authors. Their statements are not necessarily endorsed by the affiliated organisations or the Global Challenges Foundation. ANNUAL REPORT TEAM Ulrika Westin, editor-in-chief Waldemar Ingdahl, researcher Victoria Wariaro, coordinator Weber Shandwick, creative director and graphic design. CONTRIBUTORS Kennette Benedict Senior Advisor, Bulletin of Atomic Scientists Angela Kane Senior Fellow, Vienna Centre for Disarmament and Non-Proliferation; visiting Professor, Sciences Po Paris; former High Representative for Disarmament Affairs at the United Nations Joana Castro Pereira Postdoctoral Researcher at Portuguese Institute of International Relations, NOVA University of Lisbon Philip Osano Research Fellow, Natural Resources and Ecosystems, Stockholm Environment Institute David Heymann Head and Senior Fellow, Centre on Global Health Security, Chatham House, Professor of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine Romana Kofler, United Nations Office for Outer Space Affairs Lindley Johnson, NASA Planetary Defense Officer and Program Executive of the Planetary Defense Coordination Office Gerhard Drolshagen, University of Oldenburg and the European Space Agency Stephen Sparks Professor, School of Earth Sciences, University of Bristol Ariel Conn Founder and -
Impact of Technological Singularity in Human Life
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727 PP 06-09 www.iosrjournals.org Impact of Technological Singularity in Human Life Mayur Umesh Ushir1, Prof. Pooja Kadam 2 1(MCA, BVIMIT, Navi Mumbai, India) 2(MCA, BVIMIT, Navi Mumbai, India) Abstract: The technological singularity is a situation that the invention of artificial superintelligence unexpectedly triggers technological growth, resulting in incalculable changes in human life. As we said it is artificial superintelligence, once a machine is learning to develop then it will improve technologies recursively and it will scale up to an exponential level, however, this change can evolve the human civilization rapidly. This is the point beyond which events may become unpredictable or even obscure to human intelligence. This paper will focus on the current state of the experiments on AI Software’s and deeply analyze the experiment results either positively or negatively impacting human society and life which can change them in the future. Keywords: Artificial Intelligence, Technological Singularity, Technical singularity, artificial superintelligence, technological growth, human intelligence, AI. I. Introduction In an artificial superintelligence, once a machine is learning to develop the new things then it will improve technologies recursively and it will scale up to an exponential level. This is the point beyond which events may become unpredictable or even obscure to human intelligence. We have seen many fiction movies and stories on technological singularity, which overcome the human society and destroy the human life. Lots of top research companies have given negative comments on the technological singularity. To understand ground reality, we have discovered some artificial intelligence experiments in the current year which may lead to the root of technological singularity which results may impact the human society and life. -
Dissolving the Fermi Paradox), and Quite Likely Once We Account for the Fermi Observation
Dissolving the Fermi Paradox Anders Sandberg, Eric Drexler and Toby Ord Future of Humanity Institute, Oxford University June 8, 2018 Abstract The Fermi paradox is the conflict between an expectation of a high ex ante probability of intelligent life elsewhere in the universe and the apparently lifeless universe we in fact observe. The expectation that the universe should be teeming with intelligent life is linked to models like the Drake equation, which suggest that even if the probability of intelligent life developing at a given site is small, the sheer multitude of possible sites should nonetheless yield a large number of potentially observable civilizations. We show that this conflict arises from the use of Drake-like equations, which implicitly assume certainty regarding highly uncertain parameters. We examine these parameters, incorporating models of chem- ical and genetic transitions on paths to the origin of life, and show that extant scientific knowledge corresponds to uncertainties that span multi- ple orders of magnitude. This makes a stark difference. When the model is recast to represent realistic distributions of uncertainty, we find a sub- stantial ex ante probability of there being no other intelligent life in our observable universe, and thus that there should be little surprise when we fail to detect any signs of it. This result dissolves the Fermi paradox, and in doing so removes any need to invoke speculative mechanisms by which civilizations would inevitably fail to have observable effects upon the universe. 1 Introduction While working at the Los Alamos National Laboratory in 1950, Enrico Fermi famously asked his colleagues: ”Where are they?” [1]. -
A R E S E a R C H Agenda
Cooperation, Conflict, and Transformative Artificial Intelligence — A RESEARCH AGENDA Jesse Clifton — LONGTERMRISK.ORG March 2020 First draft: December 2019 Contents 1 Introduction 2 1.1 Cooperation failure: models and examples . .3 1.2 Outline of the agenda . .5 2 AI strategy and governance 8 2.1 Polarity and transition scenarios . .8 2.2 Commitment and transparency . .8 2.3 AI misalignment scenarios . 10 2.4 Other directions . 10 2.5 Potential downsides of research on cooperation failures . 11 3 Credibility 12 3.1 Commitment capabilities . 13 3.2 Open-source game theory . 13 4 Peaceful bargaining mechanisms 16 4.1 Rational crisis bargaining . 16 4.2 Surrogate goals . 18 5 Contemporary AI architectures 21 5.1 Learning to solve social dilemmas . 21 5.2 Multi-agent training . 24 5.3 Decision theory . 25 6 Humans in the loop 27 6.1 Behavioral game theory . 27 6.2 AI delegates . 28 7 Foundations of rational agency 30 7.1 Bounded decision theory . 30 7.2 Acausal reasoning . 31 8 Acknowledgements 35 1 1 Introduction Transformative artificial intelligence (TAI) may be a key factor in the long-run trajec- tory of civilization. A growing interdisciplinary community has begun to study how the development of TAI can be made safe and beneficial to sentient life (Bostrom, 2014; Russell et al., 2015; OpenAI, 2018; Ortega and Maini, 2018; Dafoe, 2018). We present a research agenda for advancing a critical component of this effort: preventing catastrophic failures of cooperation among TAI systems. By cooperation failures we refer to a broad class of potentially-catastrophic inefficiencies in interactions among TAI-enabled actors. -
Artificial Intelligence
Artificial Intelligence A White Paper Jonathan Kirk, Co-Founder & Director of AI Strategy systemsGo www.systemsGo.asia January 2018 Table of Contents Big picture ..................................................................................................................... 4 What is AI anyway? ....................................................................................................... 5 Why now? What's changed? ........................................................................................ 5 Old algorithms, new life ................................................................................................ 6 Data - big and getting bigger ........................................................................................ 8 Some key data initiatives ......................................................................................................8 Computing power: continuing to explode .................................................................. 9 The state of AI today: better than some humans ....................................................... 9 AI to AGI ....................................................................................................................... 10 AI at work ..................................................................................................................... 12 Some examples of AI in use today - by industry...............................................................12 Emerging applications ........................................................................................................13 -
Ead Safety Beneficence V2
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems Safety and Beneficence of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) The concept of intelligence can be difficult to precisely define, and there are many proposed definitions. Legg and Hutter (2007) surveyed 70-odd definitions of intelligence, pulling out the key features and commonalities between them, and settled on the following: “intelligence measures an agent’s ability to achieve goals in a wide range of environments.” In the context of autonomous and intelligent systems (A/IS), artificial general intelligence (AGI) is often used to refer to A/IS that perform comparably to humans on intellectual tasks, and artificial superintelligence (ASI or superintelligence) is commonly defined as “an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills” Bostrom( 2014), passing some threshold of generality, well-roundedness, and versatility that present-day AI systems do not yet achieve. Although today’s state-of-the-art A/IS do not match humans in this capacity (since today’s systems are only capable of performing well in limited and narrow environments or domains), many independent researchers and organizations are working on creating AGI systems (including leading AI labs like DeepMind, OpenAI, Microsoft, and Facebook’s FAIR), and most AI experts expect A/IS to surpass human-level intelligence sometime this century (Grace et al. 2017). When reasoning about the impacts that AGI systems will have, it is tempting to anthropomorphize, assume that these systems will have a “mind” similar to that of a human, and conflate intelligence with consciousness.