Feb. 20, 2024, 5:50 a.m. | Shu Yang, Lijie Hu, Lu Yu, Muhammad Asif Ali, Di Wang

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.11271v1 Announce Type: new
Abstract: The increasing significance of large language and multimodal models in societal information processing has ignited debates on social safety and ethics. However, few studies have approached the analysis of these limitations from the comprehensive perspective of human and artificial intelligence system interactions. This study investigates biases and preferences when humans and large models are used as key links in communication. To achieve this, we design a multimodal dataset and three different experiments to evaluate generative …

abstract ai interactions analysis artificial artificial intelligence artificial intelligence system arxiv communication cs.cl cs.cy cs.hc ethics human information intelligence interactions language large language large models limitations multimodal multimodal models perspective processing safety significance social studies type

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