The Notorious GPT: science communication in the age of artificial intelligence

IF 2 Q2 COMMUNICATION
Mike S. Schäfer
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引用次数: 7

Abstract

ChatGPT provides original, human-like responses to user prompts based on supervised and reinforcement machine learning techniques. It has become the poster child of generative AI, which is widely diagnosed to disrupt many realms of life — including science communication. This essay reflects on this development. It discusses opportunities for the practice of science communication, such as generative AI’s translational and multimodal capacities and its capacity to provide dialogical science communication at scale, but also challenges in terms of accuracy, ‘wrongness at scale’ or job market implications. It also ponders implications for research on science communication, which has largely neglected (generative) AI so far. It argues that scholars should analyze public communication “about” AI as well as communication “with” AI, given its ‘increased agency’. Furthermore, scholars should analyze the impact of AI on science communication itself and the larger science communication ecosystem.
臭名昭著的GPT:人工智能时代的科学传播
ChatGPT基于监督和强化机器学习技术,为用户提示提供原始的、类似人类的响应。它已经成为生成式人工智能的典型代表,人们普遍认为它会扰乱生活的许多领域——包括科学传播。本文对这一发展进行了反思。它讨论了科学传播实践的机会,例如生成式人工智能的翻译和多模式能力,以及它提供大规模对话科学传播的能力,但也讨论了准确性、“大规模错误”或就业市场影响方面的挑战。它还思考了对科学传播研究的影响,到目前为止,科学传播在很大程度上忽略了(生成)人工智能。它认为,考虑到人工智能“增加的代理”,学者们应该分析“关于”人工智能的“公共传播”以及“与”人工智能的“传播”。此外,学者们应该分析人工智能对科学传播本身和更大的科学传播生态系统的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
22.20%
发文量
80
审稿时长
5 weeks
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