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Recent breakthroughs in large language models (LLMs) have generated both interest and concern about their potential adoption as information sources or communication tools across different domains.
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A Review of Large Language Models in Healthcare: Taxonomy, Threats, Vulnerabilities, and Framework
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Ensuring accuracy and equity in vaccination information from ChatGPT and CDC: mixed-methods cross-language evaluation
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The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–22
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Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–15
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A toolbox for surfacing health equity harms and biases in large language models
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ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers
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OpenAI says ChatGPT’s weekly users have grown to 200 million
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“It’s a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents. In Proceedings of the CHI Conference on Human Factors in Computing Systems . 1–26
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