The AI-extended professional self
User-centric AI integration into professional practice with exemplars from healthcare
Bibliographic Data
| ID | 20398653 |
|---|---|
| Authors | A Schneider-Kamp (0000-0001-9822-6996, University of Southern Denmark, corresponding author), Alessandro Godono (0000-0001-8095-5461, University of Turin) |
| Year | 2025 |
| Volume | 40 |
| Issue | 7 |
| Pages | 5469-5480 |
| Publication date | 2025-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-025-02319-5 |
| OpenAlex | W4408939056 |
| Language | EN |
| Citations received | 3 |
| References cited | 71 |
AI technologies are rapidly advancing and have shown potential for providing significant value across a variety of sectors, including healthcare. Much of research has focused on the technologies’ capabilities and pushing their boundaries, with many envisioning AI and AI-enabled robots replacing human labor and humans in the near future. However, in critical domains of professional practice such as healthcare, full replacement is neither realistic nor aimed for, and collaboration between AI and humans is a given for the foreseeable future. This article argues for a shift away from a sole focus on the efficiency and effectiveness of technology, proposing instead that AI-enabled technologies increasingly should learn to adapt to human users considering that healthcare professionals already are overburdened. Rather than contributing to this burden, AI might extend the professional self by anticipating and supporting human needs and intentions. Drawing on a selective meta-synthesis of recent reviews and studies, this article introduces the concept of the AI-extended professional self . This concept suggests a temporary, dynamic integration of human professionals with AI that extends their capabilities with minimal additional burdens regarding training and application. Through three exemplars from healthcare—healthcare consultations, breast cancer screening, and robotic surgery—this article explores how a perspective rooted in the AI-extended professional self might unlock the potential for deeper AI integration into professional practice. Beyond these exemplars, this article calls for interdisciplinary research into the associated potential and challenges, advocating that the burden of AI integration needs to shift from humans to AI-enabled technologies
Art · Health care · Health professionals · Human–computer interaction · Knowledge management · Medical education · Performing arts · Political science · Visual arts · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI · Medicine · Psychology
Synthesising qualitative and quantitative evidence
Revolutionizing healthcare
International variations in primary care physician consultation time
Qualitative synthesis and systematic review in health professions education
Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
The hype cycle model
User preferences and trust in hypothetical analog, digitalized and AI-based medical consultation scenarios
Anthropomorphic response
Beyond the hype
Do you care or do I have a choice? Expert authority and consumer autonomy in medicine consumption
Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints
The Potential of AI in Care Optimization
How can systematic reviews incorporate qualitative research? A critical perspective
Detached co-involvement in interactional care
Possessions and the Extended Self
| Citations per year | 3 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |