首页|Exploring the Impact of Artificial Intelligence-Mediated Communication on Bias a nd Information Loss in Non-academic and Academic Writing Contexts

Exploring the Impact of Artificial Intelligence-Mediated Communication on Bias a nd Information Loss in Non-academic and Academic Writing Contexts

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “Artificial Intelligence-Mediated Communication (AI-MC) is reshaping message con struction, dissemination, and interpretation. “This dual-study examines AI-MC’s impact on positivity bias and information rete ntion in non-academic and academic writing. Findings show nuanced bias effects a cross large language models (LLMs), with ChatGPT 4.0 reducing perceived bias in non-academic texts and no significant information loss between original and AI-r efined texts. “These results support cautious AI integration in academic publications and high light the need for further research on AI-MC’s limitations and implications acro ss diverse languages and cultures.” This preprint has not been peer-reviewed.

Artificial IntelligenceEmerging Techno logiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.17)