The Singularity a Philosophical Analysis
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1 COPYRIGHT STATEMENT This Copy of the Thesis Has Been
University of Plymouth PEARL https://pearl.plymouth.ac.uk 04 University of Plymouth Research Theses 01 Research Theses Main Collection 2012 Life Expansion: Toward an Artistic, Design-Based Theory of the Transhuman / Posthuman Vita-More, Natasha http://hdl.handle.net/10026.1/1182 University of Plymouth All content in PEARL is protected by copyright law. Author manuscripts are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author. COPYRIGHT STATEMENT This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognize that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without the author’s prior consent. 1 Life Expansion: Toward an Artistic, Design-Based Theory of the Transhuman / Posthuman by NATASHA VITA-MORE A thesis submitted to the University of Plymouth in partial fulfillment for the degree of DOCTOR OF PHILOSOPHY School of Art & Media Faculty of Arts April 2012 2 Natasha Vita-More Life Expansion: Toward an Artistic, Design-Based Theory of the Transhuman / Posthuman The thesis’ study of life expansion proposes a framework for artistic, design-based approaches concerned with prolonging human life and sustaining personal identity. To delineate the topic: life expansion means increasing the length of time a person is alive and diversifying the matter in which a person exists. -
Safety of Artificial Superintelligence
Environment. Technology. Resources. Rezekne, Latvia Proceedings of the 12th International Scientific and Practical Conference. Volume II, 180-183 Safety of Artificial Superintelligence Aleksejs Zorins Peter Grabusts Faculty of Engineering Faculty of Engineering Rezekne Academy of Technologies Rezekne Academy of Technologies Rezekne, Latvia Rezekne, Latvia [email protected] [email protected] Abstract—The paper analyses an important problem of to make a man happy it will do it with the fastest and cyber security from human safety perspective which is usu- cheapest (in terms of computational resources) without ally described as data and/or computer safety itself with- using a common sense (for example killing of all people out mentioning the human. There are numerous scientific will lead to the situation that no one is unhappy or the predictions of creation of artificial superintelligence, which decision to treat human with drugs will also make him could arise in the near future. That is why the strong neces- sity for protection of such a system from causing any farm happy etc.). Another issue is that we want computer to arises. This paper reviews approaches and methods already that we want, but due to bugs in the code computer will presented for solving this problem in a single article, analy- do what the code says, and in the case of superintelligent ses its results and provides future research directions. system, this may be a disaster. Keywords—Artificial Superintelligence, Cyber Security, The next sections of the paper will show the possible Singularity, Safety of Artificial Intelligence. solutions of making superintelligence safe to humanity. -
Liability Law for Present and Future Robotics Technology Trevor N
Liability Law for Present and Future Robotics Technology Trevor N. White and Seth D. Baum Global Catastrophic Risk Institute http://gcrinstitute.org * http://sethbaum.com Published in Robot Ethics 2.0, edited by Patrick Lin, George Bekey, Keith Abney, and Ryan Jenkins, Oxford University Press, 2017, pages 66-79. This version 10 October 2017 Abstract Advances in robotics technology are causing major changes in manufacturing, transportation, medicine, and a number of other sectors. While many of these changes are beneficial, there will inevitably be some harms. Who or what is liable when a robot causes harm? This paper addresses how liability law can and should account for robots, including robots that exist today and robots that potentially could be built at some point in the near or distant future. Already, robots have been implicated in a variety of harms. However, current and near-future robots pose no significant challenge for liability law: they can be readily handled with existing liability law or minor variations thereof. We show this through examples from medical technology, drones, and consumer robotics. A greater challenge will arise if it becomes possible to build robots that merit legal personhood and thus can be held liable. Liability law for robot persons could draw on certain precedents, such as animal liability. However, legal innovations will be needed, in particular for determining which robots merit legal personhood. Finally, a major challenge comes from the possibility of future robots that could cause major global catastrophe. As with other global catastrophic risks, liability law could not apply, because there would be no post- catastrophe legal system to impose liability. -
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 .................................................... -
Classification Schemas for Artificial Intelligence Failures
Journal XX (XXXX) XXXXXX https://doi.org/XXXX/XXXX Classification Schemas for Artificial Intelligence Failures Peter J. Scott1 and Roman V. Yampolskiy2 1 Next Wave Institute, USA 2 University of Louisville, Kentucky, USA [email protected], [email protected] Abstract In this paper we examine historical failures of artificial intelligence (AI) and propose a classification scheme for categorizing future failures. By doing so we hope that (a) the responses to future failures can be improved through applying a systematic classification that can be used to simplify the choice of response and (b) future failures can be reduced through augmenting development lifecycles with targeted risk assessments. Keywords: artificial intelligence, failure, AI safety, classification 1. Introduction Artificial intelligence (AI) is estimated to have a $4-6 trillion market value [1] and employ 22,000 PhD researchers [2]. It is estimated to create 133 million new roles by 2022 but to displace 75 million jobs in the same period [6]. Projections for the eventual impact of AI on humanity range from utopia (Kurzweil, 2005) (p.487) to extinction (Bostrom, 2005). In many respects AI development outpaces the efforts of prognosticators to predict its progress and is inherently unpredictable (Yampolskiy, 2019). Yet all AI development is (so far) undertaken by humans, and the field of software development is noteworthy for unreliability of delivering on promises: over two-thirds of companies are more likely than not to fail in their IT projects [4]. As much effort as has been put into the discipline of software safety, it still has far to go. Against this background of rampant failures we must evaluate the future of a technology that could evolve to human-like capabilities, usually known as artificial general intelligence (AGI). -
Leakproofing the Singularity Artificial Intelligence Confinement Problem
Roman V.Yampolskiy Leakproofing the Singularity Artificial Intelligence Confinement Problem Abstract: This paper attempts to formalize and to address the ‘leakproofing’ of the Singularity problem presented by David Chalmers. The paper begins with the definition of the Artificial Intelli- gence Confinement Problem. After analysis of existing solutions and their shortcomings, a protocol is proposed aimed at making a more secure confinement environment which might delay potential negative effect from the technological singularity while allowing humanity to benefit from the superintelligence. Keywords: AI-Box, AI Confinement Problem, Hazardous Intelligent Software, Leakproof Singularity, Oracle AI. ‘I am the slave of the lamp’ Genie from Aladdin 1. Introduction With the likely development of superintelligent programs in the near future, many scientists have raised the issue of safety as it relates to such technology (Yudkowsky, 2008; Bostrom, 2006; Hibbard, 2005; Chalmers, 2010; Hall, 2000). A common theme in Artificial Intelli- gence (AI)1 safety research is the possibility of keeping a super- intelligent agent in a sealed hardware so as to prevent it from doing any harm to humankind. Such ideas originate with scientific Correspondence: Roman V. Yampolskiy, Department of Computer Engineering and Computer Sci- ence University of Louisville. Email: [email protected] [1] In this paper the term AI is used to represent superintelligence. Journal of Consciousness Studies, 19, No. 1–2, 2012, pp. 194–214 Copyright (c) Imprint Academic 2011 For personal use only -- not for reproduction LEAKPROOFING THE SINGULARITY 195 visionaries such as Eric Drexler, who has suggested confining transhuman machines so that their outputs could be studied and used safely (Drexler, 1986). -
Intelligence Explosion FAQ
MIRI MACHINE INTELLIGENCE RESEARCH INSTITUTE Intelligence Explosion FAQ Luke Muehlhauser Machine Intelligence Research Institute Abstract The Machine Intelligence Research Institute is one of the leading research institutes on intelligence explosion. Below are short answers to common questions we receive. Muehlhauser, Luke. 2013. “Intelligence Explosion FAQ.” First published 2011 as “Singularity FAQ.” Machine Intelligence Research Institute, Berkeley, CA Contents 1 Basics 1 1.1 What is an intelligence explosion? . 1 2 How Likely Is an Intelligence Explosion? 2 2.1 How is “intelligence” defined? . 2 2.2 What is greater-than-human intelligence? . 2 2.3 What is whole-brain emulation? . 3 2.4 What is biological cognitive enhancement? . 3 2.5 What are brain-computer interfaces? . 4 2.6 How could general intelligence be programmed into a machine? . 4 2.7 What is superintelligence? . 4 2.8 When will the intelligence explosion happen? . 5 2.9 Might an intelligence explosion never occur? . 6 3 Consequences of an Intelligence Explosion 7 3.1 Why would great intelligence produce great power? . 7 3.2 How could an intelligence explosion be useful? . 7 3.3 How might an intelligence explosion be dangerous? . 8 4 Friendly AI 9 4.1 What is Friendly AI? . 9 4.2 What can we expect the motivations of a superintelligent machine to be? 10 4.3 Can’t we just keep the superintelligence in a box, with no access to the Internet? . 11 4.4 Can’t we just program the superintelligence not to harm us? . 11 4.5 Can we program the superintelligence to maximize human pleasure or desire satisfaction? . -
Hello, World: Artificial Intelligence and Its Use in the Public Sector
Hello, World: Artificial intelligence and its use in the public sector Jamie Berryhill Kévin Kok Heang Rob Clogher Keegan McBride November 2019 | http://oe.cd/helloworld OECD Working Papers on Public Governance No. 36 Cover images are the European Parliament and the dome of Germany’s Reichstag building processed through Deep Learning algorithms to match the style of Van Gogh paintings. tw Hello, World: Artificial Intelligence and its Use in the Public Sector Authors: Jamie Berryhill, Kévin Kok Heang, Rob Clogher, Keegan McBride PUBE 2 This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. 1. Note by Tukey: The information in this document with reference to ‘Cyprus’ relates to the southern part of the island. There is no single authority representing both Turkish and Greek Cypriot people on the island. Turkey recognises the Turkish Republic of Northern Cyprus (TRNC). Until a lasting and equitable solution is found within the context of the United Nations, Turkey shall preserve its position concerning the ‘Cyprus issue’. 2. Note by all the European Union Member States of the OECD and the European Commission: The Republic of Cyprus is recognised by all members of the United Nations with the exception of Turkey. The information in this document relates to the area under the effective control of the Government of the Republic of Cyprus. HELLO, WORLD: ARTIFICIAL INTELLIGENCE AND ITS USE IN THE PUBLIC SECTOR © OECD 2019 3 Foreword Artificial Intelligence (AI) is an area of research and technology application that can have a significant impact on public policies and services in many ways. -
A Survey of Research Questions for Robust and Beneficial AI
A survey of research questions for robust and beneficial AI 1 Introduction Artificial intelligence (AI) research has explored a variety of problems and approaches since its inception, but for the last 20 years or so has been focused on the problems surrounding the construction of intelligent agents|systems that perceive and act in some environment. In this context, the criterion for intelligence is related to statistical and economic notions of rationality|colloquially, the ability to make good decisions, plans, or inferences. The adoption of probabilistic representations and statistical learning methods has led to a large degree of integration and cross-fertilization between AI, machine learning, statistics, control theory, neuroscience, and other fields. The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, autonomous vehicles, machine translation, legged locomotion, and question-answering systems. As capabilities in these areas and others cross the threshold from laboratory research to economically valuable technologies, a virtuous cycle takes hold whereby even small improvements in performance are worth large sums of money, prompting greater investments in research. There is now a broad consensus that AI research is progressing steadily, and that its impact on society is likely to increase. The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable. Because of the great potential of AI, it is valuable to investigate how to reap its benefits while avoiding potential pitfalls. -
Globálne Existenciálne Riziká V Informačnom Veku Global
GLOBÁLNE EXISTENCIÁLNE RIZIKÁ V INFORMAČNOM VEKU Ivan KLINEC GLOBAL EXISTENTIAL RISKS IN THE INFORMATION AGE Abstrakt Postupujúca globálna kríza a rast počtu globálnych hrozieb presahujúcich hranice jednotlivých štátov vytvárajú negatívny synergický efekt, ktorý môže vyústiť do negatívneho scenára zániku ľudskej civilizácie alebo vyhynutia človeka ako druhu. Globálne existenciálne riziká v rastúcej miere vstupujú do života človeka v informačnom veku a v predtým nebývalej miere ohrozujú jeho existenciu. Informačné a transhumánne technológie urýchľujú pozitívne rovnako aj negatívne aspekty vývoja spoločnosti a civilizácia stávajú sa motorom existenciálnych rizík v informačnom veku. Kľúčové slová: globálná kríza, existenxciálne riziká, transhumánne technológie, transhumanizmus, informaćný vek, futurológia, scenáre Abstract Advancing global crisis and growth in the number of global threats beyond national borders creates a negative synergistic effect, which may result in a negative scenario extinction of human civilization and extinction of mankind as a species. Global existential risks increasingly come into a person's life in the information age and previously unprecedented scale threaten its existence. Information and transhuman technologies will speed up the positive as well as negative aspects of the development of society and civilization become the engine of existential risks in the information age. Key words: global crisis, existential risks, transhumanism, transhuman technologies, information age, futurology, scenarios Úvod Postupujúca -
The Singularity: a Philosophical Analysis
The Singularity: A Philosophical Analysis David J. Chalmers 1 Introduction1 What happens when machines become more intelligent than humans? One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of ma- chines creates more intelligent machines in turn. This intelligence explosion is now often known as the “singularity”. The basic argument here was set out by the statistician I. J. Good in his 1965 article “Specula- tions Concerning the First Ultraintelligent Machine”: 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. The key idea is that a machine that is more intelligent than humans will be better than humans at designing machines. So it will be capable of designing a machine more intelligent than the most intelligent machine that humans can design. So if it is itself designed by humans, it will be capable of designing a machine more intelligent than itself. By similar reasoning, this next machine will 1This paper was published in the Journal of Consciousness Studies 17:7-65, 2010. I first became interested in this cluster of ideas as a student, before first hearing explicitly of the “singularity” in 1997. I was spurred to think further about these issues by an invitation to speak at the 2009 Singularity Summit in New York City. -
Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures
Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures Roman V. Yampolskiy M. S. Spellchecker Computer Engineering and Computer Science Microsoft Corporation University of Louisville One Microsoft Way, Redmond, WA [email protected] [email protected] Abstract In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI Safety can be improved based on ideas developed by cybersecurity experts. For narrow AIs safety failures are at the same, moderate, level of criticality as in cybersecurity, however for general AI, failures have a fundamentally different impact. A single failure of a superintelligent system may cause a catastrophic event without a chance for recovery. The goal of cybersecurity is to reduce the number of successful attacks on the system; the goal of AI Safety is to make sure zero attacks succeed in bypassing the safety mechanisms. Unfortunately, such a level of performance is unachievable. Every security system will eventually fail; there is no such thing as a 100% secure system. Keywords: AI Safety, Cybersecurity, Failures, Superintelligence. 1. Introduction A day does not go by without a news article reporting some amazing breakthrough in artificial intelligence1. In fact progress in AI has been so steady that some futurologists, such as Ray Kurzweil, project current trends into the future and anticipate what the headlines of tomorrow will bring us. Consider some developments from the world of technology: 2004 DARPA sponsors a driverless car grand challenge. Technology developed by the participants eventually allows Google to develop a driverless automobile and modify existing transportation laws.