AI snake oil: what artificial intelligence can do, what it can't, and how to tell the difference
Gespeichert in:
Beteilige Person: | |
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Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Princeton ; Oxford
Princeton University Press
[2024]
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Schlagwörter: | |
Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035174588&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
Beschreibung: | 28 b/w illus. 2 tables |
Umfang: | x, 348 Seiten Illustrationen 216 mm |
ISBN: | 9780691249131 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text |
CONTENTS 1 Introduction 1 The Dawn ofAI as a Consumer Product 3 Al Shakes Up Entertainment 7 Predictive AI: An Extraordinary Claim That Requires Extraordinary Evidence g Painting AI with a Single Brush Is Tempting but Flawed 12 A Series of Curious Circumstances Led to This Book 18 The AI Hype Vortex 21 What Is AI Snake Oil? z6 Who This Book Is For 34 2 How Predictive Al Goes Wrong 36 Predictive AI Makes Life-Altering Decisions 38 A Good Prediction Is Not a Good Decision 43 Opaque AI Incentivizes Gaming 46 Overautomation 48 Predictions about the Wrong People 51 vii
viii CONTENTS Predictive AI Exacerbates Existing Inequalities 53 A World without Prediction 56 Concluding Thoughts 58 3 Why Can't Al Predict the Future? 60 A Brief History of Predicting the Future Using Computers 62 Getting Specific 67 The Fragile Families Challenge 70 Why Did the Fragile Families Challenge End in Disappointment? 73 Predictions in Criminal Justice 78 Failure Is Hard. What about Success? 81 The Meme Lottery 86 From Individuals to Aggregates 90 Recap: Reasonsfor Limits to Prediction 97 4 The Long Road to Generative Al 99 Generative AI Is Built on a Long Series ofInnovations Dating Back Eighty Years Failure and Revival 105 107 Training Machines to "See” 111 The Technical and Cultural Significance oflmageNet 114 Classifying and Generating Images 118 Generative AI Appropriates Creative Labor 122 AIfor Image Classification Can Qpickly Become AIfor Surveillance 127
CONTENTS ix From Images to Text 129 From Models to Chatbots 133 Automating Bullshit 139 Deepfakes, Fraud, and Other Malicious Uses 142 The Cost of Improvement 143 Taking Stock 146 5 Is Advanced Al an Existential Threat? 150 What Do the Experts Think? 151 The Ladder of Generality 156 What's Next on the Ladder? 162 Accelerating Progress? 165 Rogue AI? 168 A Global Ban on Powerful AI? 172 A Better Approach: Defending against Specific Threats Concluding Thoughts 6 Why Can't Al Fix Social Media? 174 177 179 When Everything Is Taken Out of Context 183 Cultural Incompetence 188 AI Excels at Predicting. .the Past 194 When AI Goes Up against Human Ingenuity 198 A Matter ofLife and Death 201 Now Add Regulation into the Mix 205 The Hard Part Is Drawing the Line 209
X CONTENTS Recap: Seven Shortcomings ofAIfor Content Moderation 216 A Problem of Their Own Making 218 The Future of Content Moderation 223 7 Why Do Myths about Al Persist? 227 AI Hype Is Differentfrom Previous Technology Hype 231 The AI Community Has a Culture and History of Hype 235 Companies Have Few Incentivesfor Transparency 239 The Reproducibility Crisis in AI Research 241 News Media Misleads the Public 247 Public Figures Spread AI Hype 251 Cognitive Biases Lead Us Astray 255 8 Where Do We Go from Here? 258 AI Snake Oil Is Appealing to Broken Institutions 261 Embracing Randomness 265 Regulation: Cutting through the False Dichotomy 268 Limitations of Regulation 274 AI and the Future of Work 276 Growing Up with AI in Kai's World 281 Growing Up with AI in Maya's World 285 Acknowledgments References Index 293 331 291 |
any_adam_object | 1 |
author | Narayanan, Arvind |
author_GND | (DE-588)1129195163 (DE-588)1345232055 |
author_facet | Narayanan, Arvind |
author_role | aut |
author_sort | Narayanan, Arvind |
author_variant | a n an |
building | Verbundindex |
bvnumber | BV049834560 |
classification_rvk | MS 4855 |
ctrlnum | (OCoLC)1435619839 (DE-599)BVBBV049834560 |
discipline | Soziologie |
era | Prognose gnd |
era_facet | Prognose |
format | Book |
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id | DE-604.BV049834560 |
illustrated | Illustrated |
indexdate | 2025-02-14T11:01:53Z |
institution | BVB |
isbn | 9780691249131 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035174588 |
oclc_num | 1435619839 |
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physical | x, 348 Seiten Illustrationen 216 mm |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Princeton University Press |
record_format | marc |
spelling | Narayanan, Arvind Verfasser (DE-588)1129195163 aut AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference Arvind Narayanan and Sayash Kapoor Princeton ; Oxford Princeton University Press [2024] x, 348 Seiten Illustrationen 216 mm txt rdacontent n rdamedia nc rdacarrier 28 b/w illus. 2 tables Prognose gnd rswk-swf bicssc / Ethical & social aspects of IT bisacsh / COMPUTERS / Social Aspects Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Ethik (DE-588)4015602-3 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Ethik (DE-588)4015602-3 s Soziologie (DE-588)4077624-4 s Prognose z DE-604 Kapoor, Sayash 1996- Sonstige (DE-588)1345232055 oth Erscheint auch als Online-Ausgabe 978-0-691-24964-3 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035174588&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Narayanan, Arvind AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference bicssc / Ethical & social aspects of IT bisacsh / COMPUTERS / Social Aspects Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Ethik (DE-588)4015602-3 gnd Soziologie (DE-588)4077624-4 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)4015602-3 (DE-588)4077624-4 |
title | AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference |
title_auth | AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference |
title_exact_search | AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference |
title_full | AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference Arvind Narayanan and Sayash Kapoor |
title_fullStr | AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference Arvind Narayanan and Sayash Kapoor |
title_full_unstemmed | AI snake oil what artificial intelligence can do, what it can't, and how to tell the difference Arvind Narayanan and Sayash Kapoor |
title_short | AI snake oil |
title_sort | ai snake oil what artificial intelligence can do what it can t and how to tell the difference |
title_sub | what artificial intelligence can do, what it can't, and how to tell the difference |
topic | bicssc / Ethical & social aspects of IT bisacsh / COMPUTERS / Social Aspects Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Ethik (DE-588)4015602-3 gnd Soziologie (DE-588)4077624-4 gnd |
topic_facet | bicssc / Ethical & social aspects of IT bisacsh / COMPUTERS / Social Aspects Artificial intelligence Künstliche Intelligenz Ethik Soziologie |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=035174588&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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