Simulated misuse of large language models and clinical credit systems.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39528596.
- Also identified by DOI 10.1038/s41746-024-01306-2 and PMC identifier 11554647.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
In the future, large language models (LLMs) may enhance the delivery of healthcare, but there are risks of misuse. These methods may be trained to allocate resources via unjust criteria involving multimodal data - financial transactions, internet activity, social behaviors, and healthcare information. This study shows that LLMs may be biased in favor of collective/systemic benefit over the protection of individual rights and could facilitate AI-driven social credit systems.