Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence and Humanoid Robotics: Bioethical Implications of Replacing Human Agency in Healthcare and beyond
0
Zitationen
27
Autoren
2025
Jahr
Abstract
Abstract The integration of advanced artificial intelligence (AI) and humanoid robotics into healthcare represents a critical evolution in biotechnology with profound societal implications. This review explores the bioethical implications of these technologies, and their potential to displace human agency in life-critical decisions. It adopts an interdisciplinary approach encompassing ethics, law, and technology. The review examines how innovations in AI and robotics might shift autonomy from humans to machines, and addresses the accountability challenges inherent in such transitions. We synthesize discussions on the ethical management of AI and robotics, underscoring the importance of maintaining human oversight and integrating ethical standards in technology development to prevent worsening of social inequalities. While AI and robotics present challenges to traditional concepts of autonomy, ethical responsibility, and justice, careful and inclusive policymaking and ethical oversight can harness these technologies to enhance human well-being. This analysis highlights the necessity for continued cross-disciplinary research to navigate the complex ethical landscapes these technologies create, emphasizing that the proactive engagement of diverse stakeholders is essential to guide AI and robotics towards improving human health.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.
Autoren
- Sara Feizyab
- G Bonetti
- Maria Chiara Medori
- Cecília Micheletti
- Immacolata De Luca
- K Donato
- Ján Miertuš
- Mehmet Sait Dündar
- Miroslava Vráblová
- Gary T. Henehan
- Richard E. Brown
- Robert S. Marks
- Stanislav Miertuš
- Lorenzo Lorusso
- Gianluca Martino Tartaglia
- Munis Dündar
- Sandro Michelini
- Stephen Connelly
- Ariola Bacu
- Tommaso Beccari
- Ornela Gordani
- Xhilda Dhamo
- Eglantina Kalluçi
- Dominika Vešelényiová
- Iveta Dirgová Ľuptáková
- Jiřı́ Pospı́chal
- Matteo Bertelli
Institutionen
- University of Perugia(IT)
- Center for Neuroscience and Cognitive Systems(IT)
- Atlanta Technical College(US)
- Peachtree Orthopaedic Clinic(US)
- Erciyes University(TR)
- Academy of the Police Force in Bratislava(SK)
- Trinity College Dublin(IE)
- Technological University Dublin(IE)
- Dalhousie University(CA)
- Ben-Gurion University of the Negev(IL)
- International Centre for Applied Research and Sustainable Technology(SK)
- University of Ss. Cyril and Methodius in Trnava(SK)
- Krankenhaus Meran(IT)
- University of Milan(IT)
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico(IT)
- Azienda Sanitaria Locale Roma 3(IT)
- San Francisco VA Health Care System(US)
- University of Medicine Tirana(AL)
- University of Tirana(AL)