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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. -
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. -
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. -
The Ethics of Superintelligent Machines
Ethical Issues in Advanced Artificial Intelligence Nick Bostrom Oxford University Philosophy Faculty 10 Merton Street Oxford OX1 4JJ United Kingdom Email: [email protected] ABSTRACT The ethical issues related to the possible future creation of machines with general intellectual capabilities far outstripping those of humans are quite distinct from any ethical problems arising in current automation and information systems. Such superintelligence would not be just another technological development; it would be the most important invention ever made, and would lead to explosive progress in all scientific and technological fields, as the superintelligence would conduct research with superhuman efficiency. To the extent that ethics is a cognitive pursuit, a superintelligence could also easily surpass humans in the quality of its moral thinking. However, it would be up to the designers of the superintelligence to specify its original motivations. Since the superintelligence may become unstoppably powerful because of its intellectual superiority and the technologies it could develop, it is crucial that it be provided with human-friendly motivations. This paper surveys some of the unique ethical issues in creating superintelligence, and discusses what motivations we ought to give a superintelligence, and introduces some cost-benefit considerations relating to whether the development of superintelligent machines ought to be accelerated or retarded. KEYWORDS: Artificial intelligence, ethics, uploading, superintelligence, global security, cost-benefit analysis 1. INTRODUCTION A superintelligence is any intellect that is vastly outperforms the best human brains in practically every field, including scientific creativity, general wisdom, and social skills.1 This definition leaves open how the superintelligence is implemented – it could be in a digital computer, an ensemble of networked computers, cultured cortical tissue, or something else. -
Guidelines for Artificial Intelligence Containment
Guidelines for Artificial Intelligence Containment James Babcock Janos Kramar Roman V. Yampolskiy Cornell University University of Montreal University of Louisville [email protected] [email protected] [email protected] Abstract With almost daily improvements in capabilities of artificial intelligence it is more important than ever to develop safety software for use by the AI research community. Building on our previous work on AI Containment Problem we propose a number of guidelines which should help AI safety researchers to develop reliable sandboxing software for intelligent programs of all levels. Such safety container software will make it possible to study and analyze intelligent artificial agent while maintaining certain level of safety against information leakage, social engineering attacks and cyberattacks from within the container. Keywords: AI Boxing, AI Containment, AI Confinement!, AI Guidelines, AI Safety, Airgapping. 1. Introduction The past few years have seen a remarkable amount of attention on the long-term future of AI. Icons of science and technology such as Stephen Hawking1, Elon Musk2, and Bill Gates3 have expressed concern that superintelligent AI may wipe out humanity in the long run. Stuart Russell, coauthor of the most-cited textbook of AI [35], recently began prolifically advocating4 for the field of AI to take this possibility seriously. AI conferences now frequently have panels and workshops on the topic5,6. There has been an outpouring of support7 from many leading AI researchers for an open letter calling for greatly increased research dedicated to ensuring that increasingly capable AI remains “robust and beneficial”, and gradually a field of “AI safety” is coming into being [64, 33, 55]. -
Hybrid Cognitive-Affective Strategies for AI Safety
Ph.D. Thesis Hybrid Cognitive-Affective Strategies for AI Safety Nadisha-Marie Aliman Print Gallery (Dutch: Prentententoonstelling) by M.C. Escher, 1956. All M.C. Escher works © 2020 The M.C. Escher Company { the Netherlands. All rights reserved. Used by permission. www:mcescher:com Hybrid Cognitive-Affective Strategies for AI Safety Hybride cognitief-affectieve strategie¨envoor AI-veiligheid (met een samenvatting in het Nederlands) PROEFSCHRIFT ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de rector magnificus, prof. dr. H.R.B.M. Kummeling, ingevolge het besluit van het college voor promoties in het openbaar te verdedigen op 2 december 2020 te 12.45 uur door Nadisha-Marie Aliman geboren op 23 mei 1992 te Bochum, Duitsland Promotoren: Prof. dr. P.J. Werkhoven Prof. dr. ir. J. Masthoff Contents 1 Introduction 1 2 Self-Awareness and Proactive AI Safety Measures 9 2.1 Introduction . .9 2.2 Self-Awareness . 10 2.3 Proactive AI Safety Measures . 13 2.4 Human Enhancement . 15 2.5 Conclusion and Future Prospects . 17 2.6 Contextualization . 18 3 Transformative AI Governance and Preemptive Simulations for Ethical Goal Functions 20 3.1 Introduction . 20 3.2 Utility-Based AI Governance Strategy . 21 3.3 Dynamical Ethical Enhancement . 23 3.4 Implications of Impossibility Theorems for AI Governance and Ethical En- hancement . 24 3.5 Experiencing Future Well-Being in the Present . 27 3.6 Conclusion . 29 3.7 Contextualization . 30 ii 4 Augmented Utilitarianism for AI Safety 31 4.1 Introduction . 31 4.2 Deconstructing Perverse Instantiation . 32 4.3 Augmenting Utilitarianism . -
AGI Safety Literature Review Arxiv:1805.01109V2 [Cs.AI] 21 May 2018
AGI Safety Literature Review∗y Tom Everitt, Gary Lea, Marcus Hutter ftom.everitt, gary.lea, [email protected] May 22, 2018 Australian National University The development of Artificial General Intelligence (AGI) promises to be a major event. Along with its many potential benefits, it also raises serious safety concerns (Bostrom, 2014). The intention of this paper is to provide an easily accessible and up-to-date collection of references for the emerging field of AGI safety. A significant number of safety problems for AGI have been identified. We list these, and survey recent research on solving them. We also cover works on how best to think of AGI from the limited knowledge we have today, predictions for when AGI will first be created, and what will happen after its creation. Finally, we review the current public policy on AGI. Contents 1 Introduction2 2 Understanding AGI2 3 Predicting AGI Development5 4 Problems with AGI7 5 Design Ideas for Safe AGI 10 arXiv:1805.01109v2 [cs.AI] 21 May 2018 6 Public Policy on AGI 17 7 Conclusions 20 ∗Cite as Tom Everitt, Gary Lea, and Marcus Hutter (2018). \AGI Safety Literature Review". In: Inter- national Joint Conference on Artificial Intelligence (IJCAI). arXiv: 1805.01109. yWe thank Matthew Graves, Kaj Sotala, Ramana Kumar and Daniel Eth for comments and suggestions. 1 1 Introduction An Artificial General Intelligence (AGI) is an AI system that equals or exceeds human intelligence in a wide variety of cognitive tasks. This is in contrast to today's AI systems that solve only narrow sets of tasks. -
The Singularity a Philosophical Analysis
David J. Chalmers The Singularity A Philosophical Analysis 1. Introduction 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 machines creates more intelligent machines in turn. This intelligence explosion is now often known as the ‘singularity’.1 The basic argument here was set out by the statistician I.J. Good in his 1965 article ‘Speculations Concerning the First Ultraintelligent Machine’: Let an ultraintelligent machine be defined as a machine that can far sur- pass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultra- intelligent 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, Correspondence: Email: [email protected] [1] 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 invita- tion to speak at the 2009 Singularity Summit in New York City. I thank many people at that event for discussion, as well as many at later talks and discussions at West Point, CUNY, NYU, Delhi, ANU, Tucson, Oxford, and UNSW.