Conceptual overview explores rapid adoption patterns and operational challenges of generative AI in workplaces, highlighting the need for responsible deployment strategies.
Artificial intelligence (AI)-based systems are increasingly pervading most parts of our everyday life. Whether we are shopping online or looking for information at work, providers nowadays rely on AI-based models and seek to provide us with tailored support or guidance. Recently, a novel class of AI-based systems has gained widespread attention around the world. At the latest when Open AI’s ChatGPT reached 100 million users in just over 2 months after launch (by comparison, it took TikTok 9 months, and Instagram 2.5 years to reach this level (Bhaimiya 2023; UBS 2023)), the potential as well as the challenges associated with Generative AI (GenAI) are widely discussed in academia, industry, and the public.
No takes yet. Share an insight, caveat, or question.
Söllner et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: