Work

Quality in science communication with communicative artificial intelligence: A principle-based framework

Year: 2025

Type: review

Abstract: The rapid advancement of communicative artificial intelligence (ComAI) is profoundly impacting science communication, offering new opportunities for easier and more audience-oriented communication. However, it also poses several challenges for its practice. Based on a narrative review of literature on science communication and ComAI quality, this article develops a framework of quality principles for science communication with ComAI. The framework identifies the quality dimensions of scientific integrity, human-centricity, ethical responsiveness, inclusive impact, and governance. We discuss applications of this framework in technology development, practitioner training, guideline development, and quality evaluation. This work aims to foster critical discussions on the normative standards for ComAI use in this field.

Source: Public Understanding of Science

DOI: 10.1177/09636625251328854

Authors: Daniel Silva Luna, Irene Broer, Helena Bilandzic, Monika Taddicken, Björn W. Schuller, Martin Bürger

Institutions: University of Augsburg, Technische Universität Braunschweig, Technical University of Munich

Language: English

Topic: Academic Publishing and Open Access

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,900

Funder: Bundesministerium für Bildung und Forschung