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
Interesting read, though many of the challenges are similar to those of interactive coding tools (such as, Jupyter Notebooks) and thus far academic disciplines have pushed back against their use and largely remained where they were 50 or 60 years … Continued
Stable Diffusion revolutionised image creation from descriptive text. GPT-2, GPT-3(.5) and GPT-4 demonstrated astonishing performance across a variety of language tasks. ChatGPT introduced such language models to the general public. It is now clear that large language models (LLMs) are … Continued
Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests arxiv.org From discussion: A significant limitation to the quality of GPT-3.5’s responses is that 48% of them reported on issues that did not actually exist in the student’s … Continued
When presenting evidence of validity, social scientists tend to rely on popular methods such as reliability, regression, and confirmatory factor analysis. The quality of the model output is often determined by fairly arbitrary cutoff values, some of which arise from … Continued
Successful teaching requires an assumption of how the learner learns – how the learner uses experiences from the world to update their internal states. We investigate what expectations people have about a learner when they teach them in an online … Continued
Conceptual Design Generation Using Large Language Models arxiv.org Concept generation is a creative step in the conceptual design phase, where designers often turn to brainstorming, mindmapping, or crowdsourcing design ideas to complement their own knowledge of the domain. Recent advances … Continued
An essential element of K-12 AI literacy is educating learners about the ethical and societal implications of AI systems. Previous work in AI ethics literacy have developed curriculum and classroom activities that engage learners in reflecting on the ethical implications … Continued
arxiv.org Large language models (LLMs) have demonstrated remarkable capabilities in language generation, understanding, and few-shot learning in recent years. An extensive body of work has explored how their performance may be further improved through the tools of prompting, ranging from … Continued