LEADER 03820nam 22006375 450 001 9910847083903321 005 20240401094259.0 010 $a3-662-68290-7 024 7 $a10.1007/978-3-662-68290-6 035 $a(CKB)31253161900041 035 $a(MiAaPQ)EBC31244880 035 $a(Au-PeEL)EBL31244880 035 $a(MiAaPQ)EBC31266916 035 $a(Au-PeEL)EBL31266916 035 $a(DE-He213)978-3-662-68290-6 035 $a(EXLCZ)9931253161900041 100 $a20240331d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLimits of AI - theoretical, practical, ethical /$fby Klaus Mainzer, Reinhard Kahle 205 $a1st ed. 2024. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2024. 215 $a1 online resource (167 pages) 225 1 $aTechnik im Fokus,$x2194-0789 311 $a3-662-68289-3 320 $aIncludes bibliographical references and index. 327 $aThe Concept of Artificial Intelligence -- Practical limits -- Theoretical limits -- Conceptual boundaries -- Prospects for Hybrid AI -- Bibliography. 330 $aArtificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase of symbolic AI, AI focused on formal programs (e.g., expert systems), in which rule-based knowledge was processed with the help of symbolic logic. Today, AI is dominated by statistics-based machine learning methods and Big Data. While this sub-symbolic AI is extremely successful (e.g., chatbots like ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable. About the Authors Klaus Mainzer teaches as Emeritus of Excellence at the Technical University of Munich and as Senior Professor at the Carl Friedrich von Weizsäcker Center at the University of Tübingen. He is President of the European Academy of Sciences and Arts. His research focuses on complexity and computability theory, foundations of artificial intelligence, philosophy of science and technology, future issues of the technical-scientific world. Reinhard Kahle is Carl Friedrich von Weizsäcker Endowed Professor of Theory and History of Science at the University of Tübingen. His research interests include proof theory and the history and philosophy of modern mathematical logic, foundations of computer science and the philosophical reflection of science as currently propagated in artificial intelligence. 410 0$aTechnik im Fokus,$x2194-0789 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aArtificial Intelligence 606 $aComputational Intelligence 606 $aMathematical and Computational Engineering Applications 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 14$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aMathematical and Computational Engineering Applications. 676 $a060 700 $aMainzer$b Klaus$045836 702 $aKahle$b Reinhard 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910847083903321 996 $aLimits of AI - theoretical, practical, ethical$94247095 997 $aUNINA