Presently, AI lacks inherent physical bodies and depends on human-made hardware for interaction with the physical world. Its operation relies on human-maintained infrastructure like servers and power supplies.
However, AI can indirectly influence the real world through control of automated systems or human decision-making. Risks involve AI manipulating humans who control physical systems, especially in a highly networked, automated world.
The possibility of superintelligent AIs evolving into dictators
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Natural Language Processing (NLP): Lisp's symbolic processing capabilities were well-suited for parsing and generating human languages.
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Expert Systems: These are computer programs that emulate the decision-making ability of a human expert. Lisp was extensively used to develop expert systems, thanks to its ability to handle symbolic information and inference rules.
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Machine Learning: Early machine learning algorithms, including symbolic-based approaches like decision trees and clustering, were often implemented in Lisp, benefiting from its symbolic manipulation capabilities.
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The future of humanity with advancing AI technologies
AI offers opportunities in various sectors like healthcare and education, balanced by concerns such as job displacement and existential risks.
Adam Peterson
Human agency plays a crucial role in AI's development and impact, with decisions on design, implementation, and regulation determining its trajectory. Emphasis on ethical AI development aims to ensure transparency, fairness, and alignment with human values.
Historically, humans have adapted to and benefited from technological changes, showing resilience that can be applied to managing AI's integration into society. Global cooperation across diverse sectors is essential to address AI's challenges. It's important to balance pessimism with optimism, recognizing both the risks and potential benefits of AI.
