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Interest in developing personalised language models is rapidly growing. While personalisation is often viewed as a mechanism to better serve diverse user needs, the effects of sustained interactions with personalised models on people's perception of and behaviour toward AI remain poorly understood. Most critically, dow...
This position paper analyses hundreds of thousands of research articles to present empirical evidence of the prevalence and growth of anthropomorphic terminology in research on large language models (LLMs), and argues for challenging the deeper assumptions reflected in this terminology and broadening beyond them to ope...
It is found that LLM-as-oracle use has increased over time and is more prevalent among younger users and the behavior of AI models themselves, which motivate possible interventions to support users' self-deliberation.
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