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Bonazzola, R., Ferrante, E., Ravikumar, N. et al. Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology.
Bonazzola, R., Ferrante, E., Ravikumar, N. et al. Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology.
Tailoring the alignment of large language models (LLMs) to individuals is a new frontier in generative AI, but unbounded personalization can bring potential harm, such as large-scale profiling, privacy infringement and bias reinforcement. Kirk et al. develop a taxonomy for risks and benefits of personalized LLMs and discuss the need for normative decisions on what are acceptable bounds of personalization.