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New guidance for ensuring AI safety in clinical care published in JAMA by UTHealth Houston, Baylor College of Medicine researchers

November 27, 2024 sarah JonasResearch Results

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an article co-written by Dean Sittig, PhD, professor with McWilliams School of Biomedical Informatics at UTHealth Houston.

AI Safety Institute Launched as Korea’s AI Research Hub

November 27, 2024 sarah JonasResearch Results

“AI Safety Consortium” established to foster collaborative research among industry, aemia, and research institutes, with the AISI serving as the central hub. And active paticipation in the “International Network of AI Safety Institutes” (starting Nov 21), taking a leading role in advancing global collaboration.

ETRI Establishes International Standards for AI Safety and Reliability Support

September 11, 2024 sarah JonasResearch Results

Electronics and Telecommunications Research Institute (ETRI) announced that the 『Data Quality Standard for Data Analysis & Machine Learning』, which has been developed to promote the international standardization in the AI, has finally been established as an official international standard.