led by Professor Anna Morgan-Thomas, University of Glasgow
Generative AI holds the potential to significantly transform academic publishing by enhancing the writing process, optimizing peer review, and broadening research dissemination. However, this promise is accompanied by notable risks related to accountability, integrity, and bias (Májovský et al. 2023). To date, the dialogue surrounding the potential and perils of AI has predominantly been spearheaded by the natural sciences, particularly medicine (Misra et al., 2023). This Professional Development Workshop (PDW) seeks to extend the conversation to explore the specific implications of generative AI in the realm of social science (Budhwar et al., 2023).
The session will commence by exploring the advantages offered by AI tools, such as aiding non-native English speakers in manuscript preparation (Kacena et al., 2024), delivering instantaneous feedback (Lund et al., 2023), and automating the initial screening of manuscripts (Lund et al., 2023). The ability of AI to democratize access to scientific knowledge is contrasted with urgent ethical considerations like the question of authorship (Lee et al., 2023), concerns of plagiarism, and preserving the integrity of scientific communication (Májovský et al., 2023), intellectual property rights (Inam et al., 2024), as well as the potential for ingrained biases (Lund et al., 2023).
This workshop will delve into these complex issues, aiming to provide attendees with a comprehensive understanding of the influence of AI on academic publishing and the ability to ethically navigate its use. Participants will examine the latest guidelines from academic publishers in the field of management and discuss the ethical integration of AI into scholarly communication, thereby ensuring the quality and integrity of academic outputs.