Results for 'Inchul Yum'

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  1. Is Alignment Unsafe?Cameron Domenico Kirk-Giannini - 2024 - Philosophy and Technology 37 (110):1–4.
    Inchul Yum (2024) argues that the widespread adoption of language agent architectures would likely increase the risk posed by AI by simplifying the process of aligning artificial systems with human values and thereby making it easier for malicious actors to use them to cause a variety of harms. Yum takes this to be an example of a broader phenomenon: progress on the alignment problem is likely to be net safety-negative because it makes artificial systems easier for malicious actors to (...)
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  2. Bridging the gap between medical and bioinformatics: An ontological case study in colon carcinoma.Anand Kumar, Yum Lina Yip, Barry Smith & Pierre Grenon - 2006 - Computers in Biology and Medicine 36 (7):694--711.
    Ontological principles are needed in order to bridge the gap between medical and biological information in a robust and computable fashion. This is essential in order to draw inferences across the levels of granularity which span medicine and biology, an example of which include the understanding of the roles of tumor markers in the development and progress of carcinoma. Such information integration is also important for the integration of genomics information with the information contained in the electronic patient records in (...)
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  3. An ontology for carcinoma classification for clinical bioinformatics.Anand Kumar, Yum Lina Yip, Barry Smith, Dirk Marwede & Daniel Novotny - 2005 - Studies in Health Technology and Informatics 116 (1):635-640.
    There are a number of existing classifications and staging schemes for carcinomas, one of the most frequently used being the TNM classification. Such classifications represent classes of entities which exist at various anatomical levels of granularity. We argue that in order to apply such representations to the Electronic Health Records one needs sound ontologies which take into consideration the diversity of the domains which are involved in clinical bioinformatics. Here we outline a formal theory for addressing these issues in a (...)
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