MINDFUL AI: Reflections on Artificial Intelligence


MINDFUL AI: Reflections on Artificial Intelligence
October 26, 2022
by Murat Durmus(Author)
ASIN: B0BKMK6HLJ
Publisher finelybook 出版社:‏ Independently published (October 26, 2022)
Language 语言: English
Print Length 页数: 200 pages
ISBN-13: 9798360396796

Book Description


Note: This book is written by a human and not by ChatGPT / AI 😉
(Excerpt)
The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations; this fact is disturbing.
We need to close this gap as soon as possible.
Content
PREFACE – x
THOUGHT & QUOTES – 1
ARTIFICIAL INTELLIGENCE – 1
AI ETHICS – 17
EXPLAINABLE AI (XAI) – 37
PHILOSOPHY – 43
DATA & BUSINESS – 47
EDUCATION & FUTURE OF WORK – 53
SOCIETY & HUMANITY – 61
MIX – 67
A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE – 73
THREE ESSAYS FOR THE FUNDAMENTAL UNDERSTANDING OF AI – 83
Artificial Intelligence: An attempt to define and distinguish – 83
5 Variations of Artificial Intelligence – 88
Duplication versus Simulation – 95
ARTICLES – 101
Why we need to Regulate the use of AI Technologies – 101
Do Companies need a Chief AI-Ethics Officer? – 104
Employment and Skills in the Age of AI – 109
The Criminal Potential of Artificial Intelligence – 114
How does machine learning work? – 131
Can AI have a consciousness? – 133
What is Singularity? – 135
5 Algorithms that Changed the World – 137
EPILOG – 141
SOME SIGNIFICANT ACHIEVEMENTS IN THE FIELD OF AI SINCE 2010. – 147
APPENDIX: GLOSSARY – 177
Artificial intelligence – 177
Artificial General Intelligence (Strong AI) – 178
Weak artificial intelligence (weak AI) – 178
The ethics of artificial intelligence – 179
The European ethics guidelines for trustworthy AI – 179
Algorithmic bias – 182
Machine Learning – 183
Deep Learning – 184
Supervised learning – 184
Unsupervised learning – 185
Semi-supervised learning – 185
Reinforcement learning- 186
Superintelligence – 186
Technological Singularity – 187
The Philosophy of Artificial Intelligence – 187
AI Control Problem – 189
The Turing Test – 190

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