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More science friction for less science fiction.

PLoS biology
AI-ready health datasets can be exploited to generate many research articles with potentially limited scientific value. A study in PLOS Biology highlights this problem, by describing a recent, sudden explosion in papers analyzing the NHANES health da...

Navigating Mathematical Basics: A Primer for Deep Learning in Science.

Advances in experimental medicine and biology
We present a gentle introduction to elementary mathematical notation with the focus of communicating deep learning principles. This is a "math crash course" aimed at quickly enabling scientists with understanding of the building blocks used in many e...

How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments.

Public understanding of science (Bristol, England)
Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ...

Artificial Intelligence: A Challenge to Scientific Communication.

Klinische Monatsblatter fur Augenheilkunde
Recent years have seen formidable advances in artificial intelligence. Developments include a large number of specialised systems either existing or planned for use in scientific research, data analysis, translation, text production and design with g...

Quantifying the use and potential benefits of artificial intelligence in scientific research.

Nature human behaviour
The rapid advancement of artificial intelligence (AI) is poised to reshape almost every line of work. Despite enormous efforts devoted to understanding AI's economic impacts, we lack a systematic understanding of the benefits to scientific research a...

The ChatGPT Fact-Check: exploiting the limitations of generative AI to develop evidence-based reasoning skills in college science courses.

Advances in physiology education
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenge...

Leveraging participatory sense-making and public engagement with science for AI democratization.

Studies in history and philosophy of science
Our paper explores new potentials for productive dialogue between public engagement with science (PEWS) and radical embodied cognitive science (RECS). We establish a strong connection between the two fields by highlighting parallels between the views...

Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on AI-nudge Experience.

Science and engineering ethics
This study presents an evidence-based argument for integrating participatory inquiry practices into AI education, using science fiction films as a primary tool for examining human-technology relationships. Through a media-enhanced co-inquiry approach...