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Taking the Helm: Collaborative Approaches to ...

Written By: Edward A. S. Ross, Jackie Baines, Jacinta Hunter, Fleur McRitchie Pratt, & Nisha Patel

Abstract: As generative artificial intelligence tools (GenAI) are becoming more ingrained in everyday life, it is crucial that students and teachers become aware of the ethical considerations for using these tools. Furthermore, knowing these considerations, students need to understand the most effective way to use these tools to support their studies. This article discusses three major elements. First, our collaborative work with teachers and students in the Department of Classics at the University of Reading to inform staff and students about the ethical issues that surround AI training, development, and overuse. Second, our work creating an informational booklet for using GenAI in ancient language learning with guiding phrases, prompts which can be copy-pasted as the first message in a generative AI chat box to guide a user’s experience. Finally, an analysis of survey data gathered from ancient language students in the University of Reading over the 2023-2024 academic year. By providing students with up-to-date ethics information about GenAI tools and providing them with tailored guides for using them in a manner that directly supports their learning, ancient language students become the users that direct GenAI’s outputs for a critical purpose rather than simply relying on GenAI to give them accurate information.

Keywords: generative artificial intelligence (GenAI), ancient languages, ancient Greek, Latin, AI ethics, AI and higher education, student-teacher collaboration, classics, ChatGPT, Claude, Microsoft Copilot, Google Gemini

Taking the Helm: Collaborative Approaches to Ethical AI Practice in Ancient Language Learning

Curiosity

Artificial Curators - Design Considerations for Interactive Chatbot Experiences in Cultural Heritage Settings

Artificial Curators - Design Considerations for Interactive Chatbot Experiences in Cultural Heritage Settings

Written By: Heng Gu, Jeroen Vandommele and Jeffery Scott Love

Abstract: This paper explores the design and implementation of CuratorBot, an interactive chatbot developed to enhance visitor engagement in cultural heritage institutions using generative large language models. Positioned as a conversational guide, CuratorBot simulates a docent's role of enabling personalised, dynamic dialogues about historical artefacts, specifically focusing on the Dutch National Library's Visboeck manuscript. CuratorBot offers visitors the opportunity to actively interact with cultural heritage by having a conversation with a computer partner. Through iterative design experiments, user interaction observations and surveys, we assess the chatbot's capacity to foster curiosity, support free-choice learning and facilitate human-like conversations, thereby making cultural experiences more accessible and engaging for a broader audience. The development process involved continuous user feedback which highlighted key areas of improvement and adaptation to better serve visitor needs. The paper addresses opportunities and challenges of using LLM-based conversational agents in heritage settings and offers insights for future development of visitor engagement tools with embedded machine learning. We also discuss broader implications of incorporating generative conversational interfaces in GLAMs by examining how such tools can contribute to the evolving landscape of digital cultural heritage.

Keywords: Curiosity, Chatbots, Digital Heritage Design, Provotypes, Manuscripts