Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use

Friederike Hendriks; Yael Barel-Ben David; Lennart Banse; Julian Fick; Esther Greussing; Inbal Klein-Avraham; Tzipora Rakedzon; Monika Taddicken; Ayelet Baram-Tsabari

doi:10.1177/10755470251343486

Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use

Friederike Hendriks, Yael Barel-Ben David, Lennart Banse, Julian Fick, Esther Greussing, Inbal Klein-Avraham, Tzipora Rakedzon, Monika Taddicken, Ayelet Baram-Tsabari

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Abstract

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.

Original language	English
Article number	10755470251343486
Journal	Science Communication
DOIs	https://doi.org/10.1177/10755470251343486
State	Accepted/In press - 1 Jan 2025
Externally published	Yes

Keywords

artificial intelligence
communicating scientists
generative AI
science communication
science communication training

ASJC Scopus subject areas

Sociology and Political Science

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10.1177/10755470251343486

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title = "Generative AI in Science Communication: Fostering Scientists{\textquoteright} Good Working Habits for Ethical and Effective Use",

abstract = "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.",

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AU - Hendriks, Friederike

AU - Barel-Ben David, Yael

AU - Banse, Lennart

AU - Fick, Julian

AU - Greussing, Esther

AU - Klein-Avraham, Inbal

AU - Rakedzon, Tzipora

AU - Taddicken, Monika

AU - Baram-Tsabari, Ayelet

PY - 2025/1/1

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N2 - 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.

AB - 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.

KW - artificial intelligence

KW - communicating scientists

KW - generative AI

KW - science communication

KW - science communication training

UR - https://www.scopus.com/pages/publications/105008079903

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DO - 10.1177/10755470251343486

M3 - Comment/debate

AN - SCOPUS:105008079903

SN - 1075-5470

JO - Science Communication

JF - Science Communication

M1 - 10755470251343486

ER -

Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use

Abstract

Keywords

ASJC Scopus subject areas

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