SOURCE-LINKED INTELLIGENCE

Quantifying AI-infused Science

CORDIS · observation · Publication date unknown

Quantifying AI-infused Science The recent The recent public release of Artificial Intelligence (AI) that can master natural language has sparked a debate about the capabilities of AI and whether it can produce scientific content. Despite the ongoing debate, AI-generated written content has already entered the world of science: Papers co-written by AI are published, companies release models to assist scientists with producing scientific content, and a large fraction of scientists use AI-based tools to augment their writing. We will thus inevitably have AI-infused science in our future. The goal of scAIence is to quantify whether, how, and with which implications generative AI is changing how scientists write, communicate, perceive, and diffuse science, and to rigorously explore the opportunities, dangers, and implications of scientists augmenting their science with AI. The key hypothesis of scAIence is that current AI lacks the ability to combine knowledge e

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recordType

award

status

SIGNED

region

EU

value

1999591

unit

EUR