Conference on text production and comprehension by human and artificial intelligence

有效的读写能力对于各个领域的学习、交流和创造知识至关重要。然而，关于人们如何认知处理书面语言，以及新兴的人工智能技术如何与这些人类能力互动，还有很多需要了解的地方。本次研讨会汇集了来自认知心理学、语言学习和自然语言处理与人工智能的专家。通过结合这些学科的见解，研讨会旨在解开人们如何产生和心理表征书面语言知识的新理解，以及大型语言模型如何潜在地提高阅读和写作能力。这种跨学科的合作可能会带来更有效的教育方法、创新的学习技术，以及将人工智能与涉及书面文本的人类技能道德地整合在一起的指导方针。研讨会召集了一组专家，他们分享了他们关于人类和人工智能系统如何理解和生成书面语言的最新研究。参与者讨论他们的发现，确定关键挑战，探索可能的解决方案，并规划未来的研究方向。通过认知、语言和技术视角之间的对话，研究人员研究了人类和人工智能在基于文本的任务上合作时的潜在认知过程。他们研究了人工智能语言模型在支持读写技能发展和个性化学习体验方面的潜力。深入的分组会议和全小组讨论促进跨学科的团队合作。该项目允许参与者在参与教育和专业设置的书面文本时进一步了解人类认知和人工智能之间的相互作用。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The ability to read and write effectively is crucial for learning, communication, and creating knowledge across all fields. However, there is still much to understand about how people cognitively process written language and how emerging artificial intelligence technologies could interact with these human capabilities. This workshop brings together experts from cognitive psychology, language learning, and natural language processing with artificial intelligence. By combining insights across these disciplines, the workshop aims to unlock new understanding about how people produce and mentally represent written language knowledge, as well as how large language models could potentially enhance reading and writing abilities. This cross-disciplinary collaboration could lead to more effective education approaches, innovative learning technologies, and guidelines for ethically integrating artificial intelligence with human skills involving written text.The workshop convenes a group of experts who share their latest research on how humans and artificial intelligence systems comprehend and generate written language. Participants discuss their findings, identifying key challenges, exploring possible solutions, and map future research directions. Through dialogue between the cognitive, linguistic, and technological perspectives, researchers examine the underlying cognitive processes when humans and artificial intelligence collaborate on text-based tasks. They investigate the potential for artificial intelligence language models to support the development of reading and writing skills and personalized learning experiences. In-depth break-out sessions and full-group discussions foster cross-disciplinary teamwork. This project allows participants to further understand the interaction between human cognition and artificial intelligence when engaging with written texts across educational and professional settings.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.