Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use
Scientists increasingly use generative artificial intelligence (GenAI) to aid in science communication tasks due to limited time and resources. GenAI can function as a writing assistant, idea generator, or collaborative tool. While it offers promising support, it is crucial to address potential pitfalls, such as misinformation due to its stochastic nature, dependency on prompt specificity, and the risk of reproducing biases and stereotypes. To mitigate these issues, scientists should be trained in competencies that foster ethical and effective interactions with GenAI, ensuring they develop what we call “Good Working Habits” for science communication with GenAI.
Authors
- Esther Greussing (ORCID: https://orcid.org/0000-0001-8655-5119)
- Inbal Klein-Avraham (ORCID: https://orcid.org/0000-0002-2642-5686)
- Monika Taddicken (ORCID: https://orcid.org/0000-0001-6505-3005)
- Ayelet Baram‐Tsabari (ORCID: https://orcid.org/0000-0002-8123-5519)
- Yael Barel-Ben David (ORCID: https://orcid.org/0000-0001-8861-1946)
- Julian Fick (ORCID: https://orcid.org/0000-0002-6097-0514)
- Friederike Hendriks (ORCID: https://orcid.org/0000-0003-1023-8103)
- Tzipora Rakedzon (ORCID: https://orcid.org/0000-0002-6288-6949)
- Lennart Banse (ORCID: https://orcid.org/0000-0002-5679-2452)
Institutions
- Technion – Israel Institute of Technology (IL)
- Christian-Albrechts-Universität zu Kiel (DE)
- Leibniz Institute for Science and Mathematics Education (DE)
- Technische Universität Braunschweig (DE)
Publication Details
- Journal
- Science Communication
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1177/10755470251343486
- Citations
- 5
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 11.83
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Niedersächsisches Ministerium für Wissenschaft und Kultur