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Understanding Confabulations in AI: Causes, Prevention, and Detection
Artificial intelligence (AI) systems are increasingly integrated into various sectors, including healthcare, finance, and customer service, making their reliability and accuracy critical. However, one lesser-known issue that can arise with AI systems is confabulation (aka hallucinations, fabrications).

Jeanette Towles
Jul 26, 2024


Exploring the Universal Guidelines for AI and Their Impact on Global Policy
In an era dominated by rapid advancements in artificial intelligence (AI), the need for robust governance frameworks has never been more critical. The Universal Guidelines on Artificial Intelligence (UGAI) represented a pioneering effort to address the ethical, legal, and societal challenges posed by AI technologies.

Jeanette Towles
Jul 23, 2024
Developing and Maintaining Metrics for Clinical Documentation Production and Understanding ROI in Artificial Intelligence (AI) Tools
Clinical documentation is a critical component in the healthcare and pharmaceutical industries, serving as the backbone for clinical studies, regulatory submissions, and patient care. Developing and maintaining metrics for the production of clinical documentation is essential to ensure quality, compliance, and efficiency and to be able to identify and mitigate risk during this process.
Alex Olinger
Jul 20, 2024
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