Limits of AI - theoretical, practical, ethical

https://link.springer.com/book/10.1007/978-3-662-68290-6.

Artificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable.

Generally understandable introduction to artificial intelligence
Provides an outlook on future technologies
Explains clearly the limits of AI
Part of the book series: Technik im Fokus (TECHNIK)

About the authors: 

Klaus Mainzer/TUM Senior Excellence Faculty, Technische Universität München, München, Germany, President EASA

Reinhard Kahle/Carl Friedrich von Weizsäcker-Zentrum, Universität Tübingen, Tübingen, Germany