Limits of AI - Theoretical, Practical, Ethical

• Autore: Mainzer Klaus
• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin / Heidelberg, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (167 pages)
• Disciplina: 006.3
• Altri autori: KahleReinhard
• Nota di contenuto: Intro -- Preface (to the English translation) -- Preface (to the first German edition) -- Acknowledgements -- Contents -- 1 The Concept of Artificial Intelligence -- References -- 2 Practical Limits -- 2.1 The Fate of Expert Systems -- 2.2 Causality Versus Statistics -- 2.3 From Baysian Learning to Neural Networks -- 2.4 Data Set and Data Quality -- 2.5 The Return of the Frame Problem -- References -- 3 Theoretical Limits -- 3.1 Can "calculating" be Learnt Statistically? -- 3.2 Continuous Versus Discrete Problems -- 3.3 Which Role Does Random Play in AI? -- 3.4 Which Role Has Chaos in AI? -- 3.5 Is There a Theory of Computability and Complexity for AI? -- References -- 4 Conceptual Limitations -- 4.1 The Question "why?" -- 4.2 Can AI "Remember"? -- 4.3 Can Programming Be Automated? -- 4.4 Can Proving Be Automated? -- 4.5 "What You Give is What You Get"? -- 4.6 Background Theory -- 4.7 Ethical and Societal Limitation of AI -- References -- 5 Prospects for Hybrid AI -- 5.1 Potential and Limitation of Neuromorphic AI -- 5.2 Potential and Limitation of Quantum AI -- 5.3 Potential and Limitation of ChatGPT -- 5.3.1 What Can the AI Chatbot ChatGPT Do? -- 5.3.2 In the "Machine Room" of ChatGPT -- 5.3.3 Challenges of ChatGPT for Education Policies -- 5.4 Quo Vadis AI? -- 5.4.1 An Optimistic Vision -- 5.4.2 A Sceptical View -- References -- Author Index -- Subject Index.
• Titolo autorizzato: Limits of AI - Theoretical, Practical, Ethical
• ISBN: 3-662-68290-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910847083903321
• Lo trovi qui: Univ. Federico II
• Serie: Technik Im Fokus Series