Abstract: Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard to navigate. Large language models (LLMs) are revolutionizing the process of writing code. Can … Continued
While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted collaborative qualitative analysis (CQA)-a process that involves multiple researchers working together to interpret data-remains relatively unexplored. After identifying CQA practices and design opportunities through formative interviews, we designed and implemented … Continued
Generative artificial intelligence holds enormous potential to revolutionize decision-making processes, from everyday to high-stake scenarios. However, as many decisions carry social implications, for AI to be a reliable assistant for decision-making it is crucial that it is able to capture … Continued
Prewriting is the process of discovering and developing ideas before a first draft, which requires divergent thinking and often implies unstructured strategies such as diagramming, outlining, free-writing, etc. Although large language models (LLMs) have been demonstrated to be useful for … Continued
Nudging is a behavioral strategy aimed at influencing people’s thoughts and actions. Nudging techniques can be found in many situations in our daily lives, and these nudging techniques can targeted at human fast and unconscious thinking, e.g., by using images … Continued
While Artificial Intelligence (AI) algorithms have achieved performance levels comparable to human experts on various predictive tasks, human experts can still access valuable contextual information not yet incorporated into AI predictions. Humans assisted by AI predictions could outperform both human-alone … Continued
Artificial Intelligence in Science oecd-ilibrary.org Overview: The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the … Continued
Significance Adaptive agents must continually satisfy a range of distinct and possibly conflicting needs. In most models of learning, a monolithic agent tries to maximize one value that measures how well it balances its needs. However, this task is difficult … Continued
https://arxiv.org/abs/2307.03718From: Authors from Centre for the Governance of AI, Center for a New American Security, Google DeepMind, OpenAI, Brookings Institution, University of Virginia, Centre for Long-Term Resilience, Centre for the Study of Existential Risk, University of Cambridge, University of Washington, … Continued
Rapid developments in artificial intelligence and the mainstreaming of generative AI have raised vital questions about the future of science. AI techniques present significant potential for enhancing scientific research, but also risks of bias, inequity, and eroding originality. Approaching AI … Continued