The HTC Lab collaborators Ryan and Eran have a new pre-print available for public feedback. Please get in touch if you have suggestions before this gets sent out for publication. Abstract: Emerging AI capabilities are reshaping traditional creative problem solving … Continued
Generative Artificial Intelligence (AI) holds the potential to either complement knowledge workers by increasing their productivity or substitute them entirely. We examine the short-term effects of the recent release of the large language model (LLM), ChatGPT, on the employment outcomes … Continued
Abstract The AI development community is increasingly making use of hosting intermediaries such as Hugging Face provide easy access to user-uploaded models and training data. These model marketplaces lower technical deployment barriers for hundreds of thousands of users, yet can … Continued
Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely used in various workflows. However, due to a limited understanding of these large-scale models, users struggle to use this technology and experience different kinds of dissatisfaction. Researchers have … Continued
Evaluation is essential to understanding the value that digital creativity brings to people’s experience, for example in terms of their enjoyment, creativity, and engagement. There is a substantial body of research on how to design and evaluate interactive arts and … Continued
Abstract: Instructor’s feedback plays a critical role in students’ development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time. In this study, we explore using GPT-3.5 to write … Continued
People often make judgments about uncertain facts and events, for example `Germany will win the world cup’. Here we present a rational analysis of these judgments: we argue that a guess functions as a compressed encoding of the speaker’s subjective … Continued
Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional machine-learning and pattern-based AI systems, and little is known about how researchers interact with GenAI in qualitative research. This work … Continued
Large Language Models (LLMs) are increasingly utilized in educational tasks such as providing writing suggestions to students. Despite their potential, LLMs are known to harbor inherent biases which may negatively impact learners. Previous studies have investigated bias in models and … Continued
Abstract Generative artificial intelligence (GenAI) is penetrating in various social sectors, motivating a strong need for teaching AI literacy in younger generations. While substantial efforts have been made to teach AI literacy and to use AI to facilitate learning, few … Continued