Building Safer and Interoperable AI systems.

Thirty-five years ago, the concept of knowledge robots (knowbots) was envisioned as mobile code capable of navigating the Internet, gathering and processing information for users. Today, advancements in AI have brought forth intelligent agents, including large language models (LLMs), that can intera...

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Bibliographic Details
Published in:Communications of the ACM Vol. 68; no. 2; pp. 5 - 6
Main Author: Cerf, Vinton G.
Format: Article
Published: Association for Computing Machinery Feb2025
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Building Safer and Interoperable AI systems.
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        au: Cerf, Vinton G.
        affil: Google, Reston, VA, USA
      su:
        Artificial intelligence
        Language models
        Human-computer interaction
        Syntax in programming languages
        Semantics
        Product safety
        Safety standards
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          Artificial intelligence
          Language models
          Human-computer interaction
          Syntax in programming languages
          Semantics
          Product safety
          Safety standards
      ab: Thirty-five years ago, the concept of knowledge robots (knowbots) was envisioned as mobile code capable of navigating the Internet, gathering and processing information for users. Today, advancements in AI have brought forth intelligent agents, including large language models (LLMs), that can interact with humans and each other, raising questions about syntax, semantics, and safety in inter-agent exchanges. While these agents hold potential for efficient collaboration and innovation, concerns about ambiguity, miscommunication, and unintended consequences highlight the need for disciplined development and safety standards.
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    language: English
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          year: 2025
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