Superintelligence : Paths, Dangers, Strategies

Name: Superintelligence : Paths, Dangers, Strategies
Author: Nick Bostrom
ISBN: 9780199678112

by Nick Bostrom

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Superintelligence : Paths, Dangers, Strategies

by Nick Bostrom

2.9 (8)

Hardcover

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Other Available Editions: Paperback
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Overview

A New York Times bestseller Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. As the fate of the gorillas now depends more on humans than on the species itself, so would the fate of humankind depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed Artificial Intelligence, to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? This profoundly ambitious and original book breaks down a vast track of difficult intellectual terrain. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.

FormatHardcover

LanguageEnglish

PublisherOxford University Press, Incorporated

Publication DateSep. 3rd, 2014

Edition1st Edition

ISBN-139780199678112

Dimensions6.34 x 9.45 x 1.05 inches

ISBN-100199678111

Shipping Weight1.53 lbs

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Professional Reviews

"I highly recommend this book"
         -- Bill Gates

"Nick Bostrom makes a persuasive case that the future impact of AI is perhaps the most important issue the human race has ever faced. Instead of passively drifting, we need to steer a course. Superintelligence charts the submerged rocks of the future with unprecedented detail. It marks the beginning of a new era."
         -- Stuart Russell, Professor of Computer Science, University of California, Berkley

"Those disposed to dismiss an 'AI takeover' as science fiction may think again after reading this original and well-argued book."
         -- Martin Rees, Past President, Royal Society

"This superb analysis by one of the world's clearest thinkers tackles one of humanity's greatest challenges: if future superhuman artificial intelligence becomes the biggest event in human history, then how can we ensure that it doesn't become the last?"
         -- Professor Max Tegmark, MIT

"Terribly important ... groundbreaking... extraordinary sagacity and clarity, enabling him to combine his wide-ranging knowledge over an impressively broad spectrum of disciplines - engineering, natural sciences, medicine, social sciences and philosophy - into a comprehensible whole... If this book gets the reception that it deserves, it may turn out the most important alarm bell since Rachel Carson's Silent Spring from 1962, or ever."
         -- Olle Haggstrom, Professor of Mathematical Statistics

"Valuable. The implications of introducing a second intelligent species onto Earth are far-reaching enough to deserve hard thinking"
         -- The Economist

"There is no doubting the force of [Bostrom's] arguments...the problem is a research challenge worthy of the next generation's best mathematical talent. Human civilisation is at stake."
         -- Clive Cookson, Financial Times

"Worth reading.... We need to be super careful with AI. Potentially more dangerous than nukes"
         -- Elon Musk, Founder of SpaceX and Tesla

"a magnificent conception ... it ought to be required reading on all philosophy undergraduate courses, by anyone attempting to build AIs and by physicists who think there is no point to philosophy."
         -- Brian Clegg, Popular Science

Reader Reviews for Superintelligence : Paths, Dangers, Strategies

Lists of Figures, Tables, and Boxes	p. xv
Past developments and present capabilities	p. 1
Growth modes and big history	p. 1
Great expectations	p. 3
Seasons of hope and despair	p. 5
State of the art	p. 11
Opinions about the future of machine intelligence	p. 18
Paths to superintelligence	p. 22
Artificial intelligence	p. 23
Whole brain emulation	p. 30
Biological cognition	p. 36
Brain-computer interfaces	p. 44
Networks and organizations	p. 48
Summary	p. 50
Forms of superintelligence	p. 52
Speed superintelligence	p. 53
Collective superintelligence	p. 54
Quality superintelligence	p. 56
Direct and indirect reach	p. 58
Sources of advantage for digital intelligence	p. 59
The kinetics of an intelligence explosion	p. 62
Timing and speed of the takeoff	p. 62
Recalcitrance	p. 66
Non-machine intelligence paths	p. 66
Emulation and AI paths	p. 68
Optimization power and explosivity	p. 73
Decisive strategic advantage	p. 78
Will the frontrunner get a decisive strategic advantage?	p. 79
How large will the successful project be?	p. 83
Monitoring	p. 84
International collaboration	p. 86
From decisive strategic advantage to singleton	p. 87
Cognitive superpowers	p. 91
Functionalities and superpowers	p. 92
An AI takeover scenario	p. 95
Power over nature and agents	p. 99
The superintendent will	p. 105
The relation between intelligence and motivation	p. 105
Instrumental convergence	p. 109
Self-preservation	p. 109
Goal-content integrity	p. 109
Cognitive enhancement	p. 111
Technological perfection	p. 112
Resource acquisition	p. 113
Is the default outcome doom?	p. 115
Existential catastrophe as the default outcome of an intelligence explosion?	p. 115
The treacherous turn	p. 116
Malignant failure modes	p. 119
Perverse instantiation	p. 120
Infra structure profusion	p. 122
Mind crime	p. 125
The control problem	p. 127
Two agency problems	p. 127
Capability control methods	p. 129
Boxing methods	p. 129
Incentive methods	p. 131
Stunting	p. 135
Tripwires	p. 137
Motivation selection methods	p. 138
Direct specification	p. 139
Domesticity	p. 140
Indirect normativity	p. 141
Augmentation	p. 142
Synopsis	p. 143
Oracles, genies, sovereigns, tools	p. 145
Oracles	p. 145
Genies and sovereigns	p. 148
Tool-AIs	p. 151
Comparison	p. 155
Multipolar scenarios	p. 159
Of horses and men	p. 160
Wages and unemployment	p. 160
Capital and welfare	p. 161
The Malthusian principle in a historical perspective	p. 163
Population growth and investment	p. 164
Life in an algorithmic economy	p. 166
Voluntary slavery, casual death	p. 167
Would maximally efficient work be fun?	p. 169
Unconscious outsourcers?	p. 172
Evolution is not necessarily up	p. 173
Post-transition formation of a singleton?	p. 176
A second transition	p. 177
Superorganisms and scale economies	p. 178
Unification by treaty	p. 180
Acquiring values	p. 185
The value-loading problem	p. 185
Evolutionary selection	p. 187
Reinforcement learning	p. 188
Associative value accretion	p. 189
Motivational scaffolding	p. 191
Value learning	p. 192
Emulation modulation	p. 201
Institution design	p. 202
Synopsis	p. 207
Choosing the criteria for choosing	p. 209
The need for indirect normativity	p. 209
Coherent extrapolated volition	p. 211
Some explications	p. 212
Rationales for CEV	p. 213
Further remarks	p. 216
Morality models	p. 217
Do What I Mean	p. 220
Component list	p. 221
Goal content	p. 222
Decision theory	p. 223
Epistemology	p. 224
Ratification	p. 225
Getting close enough	p. 227
The strategic picture	p. 228
Science and technology strategy	p. 228
Differential technological development	p. 229
Prefer red order of arrival	p. 230
Rates of change and cognitive enhancement	p. 233
Technology couplings	p. 236
Second-guessing	p. 238
Pathways and enablers	p. 240
Effects of hardware progress	p. 240
Should whole brain emulation research be promoted?	p. 242
The person-affecting perspective favors speed	p. 245
Collaboration	p. 246
The race dynamic and its perils	p. 246
On the benefits of collaboration	p. 249
Working together	p. 253
Crunch time	p. 255
Philosophy with a deadline	p. 255
What is to be done?	p. 256
Seeking the strategic light	p. 257
Building good capacity	p. 258
Particular measures	p. 258
Will the best in human nature please stand up	p. 259
Notes	p. 261
Bibliography	p. 305
Index	p. 325
Table of Contents provided by Ingram. All Rights Reserved.

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Overview

Product Details

FormatHardcover

LanguageEnglish

PublisherOxford University Press, Incorporated

Publication DateSep. 3rd, 2014

Edition1st Edition

ISBN-139780199678112

Dimensions6.34 x 9.45 x 1.05 inches

ISBN-100199678111

Shipping Weight1.53 lbs

Reviews

Professional Reviews

Lists of Figures, Tables, and Boxes	p. xv
Past developments and present capabilities	p. 1
Growth modes and big history	p. 1
Great expectations	p. 3
Seasons of hope and despair	p. 5
State of the art	p. 11
Opinions about the future of machine intelligence	p. 18
Paths to superintelligence	p. 22
Artificial intelligence	p. 23
Whole brain emulation	p. 30
Biological cognition	p. 36
Brain-computer interfaces	p. 44
Networks and organizations	p. 48
Summary	p. 50
Forms of superintelligence	p. 52
Speed superintelligence	p. 53
Collective superintelligence	p. 54
Quality superintelligence	p. 56
Direct and indirect reach	p. 58
Sources of advantage for digital intelligence	p. 59
The kinetics of an intelligence explosion	p. 62
Timing and speed of the takeoff	p. 62
Recalcitrance	p. 66
Non-machine intelligence paths	p. 66
Emulation and AI paths	p. 68
Optimization power and explosivity	p. 73
Decisive strategic advantage	p. 78
Will the frontrunner get a decisive strategic advantage?	p. 79
How large will the successful project be?	p. 83
Monitoring	p. 84
International collaboration	p. 86
From decisive strategic advantage to singleton	p. 87
Cognitive superpowers	p. 91
Functionalities and superpowers	p. 92
An AI takeover scenario	p. 95
Power over nature and agents	p. 99
The superintendent will	p. 105
The relation between intelligence and motivation	p. 105
Instrumental convergence	p. 109
Self-preservation	p. 109
Goal-content integrity	p. 109
Cognitive enhancement	p. 111
Technological perfection	p. 112
Resource acquisition	p. 113
Is the default outcome doom?	p. 115
Existential catastrophe as the default outcome of an intelligence explosion?	p. 115
The treacherous turn	p. 116
Malignant failure modes	p. 119
Perverse instantiation	p. 120
Infra structure profusion	p. 122
Mind crime	p. 125
The control problem	p. 127
Two agency problems	p. 127
Capability control methods	p. 129
Boxing methods	p. 129
Incentive methods	p. 131
Stunting	p. 135
Tripwires	p. 137
Motivation selection methods	p. 138
Direct specification	p. 139
Domesticity	p. 140
Indirect normativity	p. 141
Augmentation	p. 142
Synopsis	p. 143
Oracles, genies, sovereigns, tools	p. 145
Oracles	p. 145
Genies and sovereigns	p. 148
Tool-AIs	p. 151
Comparison	p. 155
Multipolar scenarios	p. 159
Of horses and men	p. 160
Wages and unemployment	p. 160
Capital and welfare	p. 161
The Malthusian principle in a historical perspective	p. 163
Population growth and investment	p. 164
Life in an algorithmic economy	p. 166
Voluntary slavery, casual death	p. 167
Would maximally efficient work be fun?	p. 169
Unconscious outsourcers?	p. 172
Evolution is not necessarily up	p. 173
Post-transition formation of a singleton?	p. 176
A second transition	p. 177
Superorganisms and scale economies	p. 178
Unification by treaty	p. 180
Acquiring values	p. 185
The value-loading problem	p. 185
Evolutionary selection	p. 187
Reinforcement learning	p. 188
Associative value accretion	p. 189
Motivational scaffolding	p. 191
Value learning	p. 192
Emulation modulation	p. 201
Institution design	p. 202
Synopsis	p. 207
Choosing the criteria for choosing	p. 209
The need for indirect normativity	p. 209
Coherent extrapolated volition	p. 211
Some explications	p. 212
Rationales for CEV	p. 213
Further remarks	p. 216
Morality models	p. 217
Do What I Mean	p. 220
Component list	p. 221
Goal content	p. 222
Decision theory	p. 223
Epistemology	p. 224
Ratification	p. 225
Getting close enough	p. 227
The strategic picture	p. 228
Science and technology strategy	p. 228
Differential technological development	p. 229
Prefer red order of arrival	p. 230
Rates of change and cognitive enhancement	p. 233
Technology couplings	p. 236
Second-guessing	p. 238
Pathways and enablers	p. 240
Effects of hardware progress	p. 240
Should whole brain emulation research be promoted?	p. 242
The person-affecting perspective favors speed	p. 245
Collaboration	p. 246
The race dynamic and its perils	p. 246
On the benefits of collaboration	p. 249
Working together	p. 253
Crunch time	p. 255
Philosophy with a deadline	p. 255
What is to be done?	p. 256
Seeking the strategic light	p. 257
Building good capacity	p. 258
Particular measures	p. 258
Will the best in human nature please stand up	p. 259
Notes	p. 261
Bibliography	p. 305
Index	p. 325
Table of Contents provided by Ingram. All Rights Reserved.

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Superintelligence : Paths, Dangers, Strategies

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Superintelligence : Paths, Dangers, Strategies

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Superintelligence : Paths, Dangers, Strategies

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