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作为人工智能使用者的人工智能:迈向负责任的自主性。

AI as a user of AI: Towards responsible autonomy.

作者信息

Shukla Amit K, Terziyan Vagan, Tiihonen Timo

机构信息

School of Technology and Innovations, University of Vaasa, Wolffintie 34, FI-65200, Vaasa, Finland.

Faculty of Information Technology, University of Jyvaskyla, Box 35 (Agora), 40014, Jyvaskyla, Finland.

出版信息

Heliyon. 2024 May 25;10(11):e31397. doi: 10.1016/j.heliyon.2024.e31397. eCollection 2024 Jun 15.

Abstract

Recent advancements in Artificial Intelligence (AI), particularly in generative language models and algorithms, have led to significant impacts across diverse domains. AI capabilities to address prompts are growing beyond human capability but we expect AI to perform well also as a prompt engineer. Additionally, AI can serve as a guardian for ethical, security, and other predefined issues related to generated content. We postulate that enforcing dialogues among AI--prompt-engineer, AI--prompt-responder, and AI--Compliance-Guardian can lead to high-quality and responsible solutions. This paper introduces a novel AI collaboration paradigm emphasizing responsible autonomy, with implications for addressing real-world challenges. The paradigm of responsible AI-AI conversation establishes structured interaction patterns, guaranteeing decision-making autonomy. Key implications include enhanced understanding of AI dialogue flow, compliance with rules and regulations, and decision-making scenarios exemplifying responsible autonomy. Real-world applications envision AI systems autonomously addressing complex challenges. We have made preliminary testing of such a paradigm involving instances of ChatGPT autonomously playing various roles in a set of experimental AI-AI conversations and observed evident added value of such a framework.

摘要

人工智能(AI)的最新进展,尤其是在生成式语言模型和算法方面,已在各个领域产生了重大影响。人工智能处理提示的能力正在超越人类能力,但我们期望人工智能作为提示工程师也能表现出色。此外,人工智能可以作为与生成内容相关的道德、安全和其他预定义问题的守护者。我们假设,在人工智能——提示工程师、人工智能——提示响应者和人工智能——合规守护者之间进行对话,可以产生高质量且负责任的解决方案。本文介绍了一种强调负责任自主性的新型人工智能协作范式,对应对现实世界的挑战具有启示意义。负责任的人工智能——人工智能对话范式建立了结构化的交互模式,保证了决策自主性。关键意义包括增强对人工智能对话流程的理解、遵守规则和法规,以及体现负责任自主性的决策场景。现实世界的应用设想人工智能系统能够自主应对复杂挑战。我们已经对这样一种范式进行了初步测试,涉及ChatGPT在一组实验性人工智能——人工智能对话中自主扮演各种角色的实例,并观察到了这种框架明显的附加价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/408c/11214353/b41cbba66db6/gr1.jpg

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