Caging AI

As we celebrate the success of AI, it is necessary to investigate the boundaries of AI, a la Karl Popper, so that our society does not fall for misleading commercial claims, and prevent dangers of misusing AI. We chat with our readers casually on several frontier questions from if AI will replace hu...

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Bibliographic Details
Published inJournal of computer science and technology Vol. 40; no. 1; pp. 1 - 5
Main Author Li, Ming
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 01.01.2025
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Computer Science
Consciousness
Data Structures and Information Theory
Information Systems Applications (incl.Internet)
Knowledge
Large language models
Perspective
Software Engineering
Technological change
Theory of Computation
artificial general intelligence (AGI)
large language model (LLM)
consciousness
relativization
Kolmogorov complexity
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Summary:As we celebrate the success of AI, it is necessary to investigate the boundaries of AI, a la Karl Popper, so that our society does not fall for misleading commercial claims, and prevent dangers of misusing AI. We chat with our readers casually on several frontier questions from if AI will replace human beings, to AI consciousness, self and nonself awareness, and to our jobs and education. While some things in this essay are speculative, some other things are mathematically proved. We argue why AI and AI generated content should be segregated, and why AGI (artificial general intelligence) cannot make innovations about things independent to human knowledge without external experiments.
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ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-024-5036-x