Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice
Dartmouth College · Milken Institute · +2 more institutions
Abstract
Artificial intelligence (AI) has rapidly transformed various sectors, including healthcare, where it holds the potential to transform clinical practice and improve patient outcomes. However, its integration into medical settings brings significant ethical challenges that need careful consideration. This paper examines the current state of AI in healthcare, focusing on five critical ethical concerns: justice and fairness, transparency, patient consent and confidentiality, accountability, and patient-centered and equitable care. These concerns are particularly pressing as AI systems can perpetuate or even exacerbate existing biases, often resulting from non-representative datasets and opaque model development…
Citation impact
- FWCI
- 63.69
- Percentile
- 100%
- References
- 42
Authors
4Topics & keywords
- Transparency (behavior)
- Scrutiny
- Health care
- Accountability
- Confidentiality
- Engineering ethics
- Economic Justice
- Knowledge management
- Peace, Justice and strong institutions