Buch, Englisch, 496 Seiten, Format (B × H): 178 mm x 254 mm
Advantages, Disadvantages, Benefits, and Threats
Buch, Englisch, 496 Seiten, Format (B × H): 178 mm x 254 mm
ISBN: 978-1-041-10172-7
Verlag: Taylor & Francis Ltd
This book introduces the subject of Artificial Intelligence, its structures, its uses, its application to the Artificial Neural Network, its technology applications, and the advantages and disadvantages of its use, including its potential weaknesses and drawbacks.
Artificial Intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.
AI technology is widely used throughout industry, government, and science. Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by facilities such as YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g. Waymo); generative and creative tools (e.g., ChatGPT, Apple Intelligence, and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI: For example, a lot of forefronts and cutting-edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it is no longer labeled as AI anymore.
The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic and commercial sectors and areas of everyday life, impacting job markets, healthcare, government, industry, education, propaganda, and disinformation and deception, whether deliberate of otherwise. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
Weitere Infos & Material
PREFACE: THE USE OF DATA
INTRODUCTION: HOW DID CYBERNETICS EVOLVE?
1: NEURAL NETWORKS
2: WHAT IS ARTIFICIAL INTELLIGENCE?
3: THE BLACK ART OF PERSUASION
4: THE ARTIFICIAL NEURAL NETWORK – MANY HANDS MAKE LIGHT WORK
5: MACHINE LEARNING
6: CREATIVITY OR DECEPTION?
7: INTERNAL RISK – DUFF INFORMATION, DUFF INFORMATION OUT
8: EXTERNAL RISK – HACKING AND UNLAWFUL INTRUSION
9: INFORMATION, MISINFORMATION OR UNDUE INFLUENCE
10: THE RISE OF ROBOTICS AND CYBERNETIC ORGANISMS
11: PLAYING WITH THE BIG BOYS NOW – THE INFLUENCE OF THE MULTINATIONALS AND BIG GOVERNMENT
12: TREAD WITH CAUTION – FILTER OUT THE GOOD AND DISCARD THE REST
13: THE VALUE OF PERCEPTION
14: CONCLUSIONS




