Ethics of Automation and Artificial Intelligence in Health Care Delivery

Abstract The healthcare industry, stagnant in productivity and overburdened by administrative tasks, stands to benefit greatly from artificial intelligence (AI) tools. Understandably, AI in healthcare has been met with skepticism and regulatory scrutiny, especially in the face of potential ethical issues. This paper examines the ethical implications of AI in healthcare as it applies to […]

Logical Intelligence Achieves 76 Percent on Putnam Benchmark, Highlighting Shift Beyond Large Language Models to Language-free, Mathematically Grounded Models

SAN FRANCISCO, December 02, 2025–Over the last decade, artificial intelligence (AI) has been largely built around large language models (LLMs). These systems are based on a language and guess words in a chain in the form of tokens. As a result, they frequently hallucinate and require vast compute and power infrastructure to solve tasks. The moment systems like public safety, national infrastructure, and industrial automation need logic, LLMs break and introduce safety risks. Token-free language

⚖️ Arizona Medicare Program to Use AI for Claim Approvals

A new program in Arizona will leverage AI to approve or deny Medicare claims, marking a significant shift in healthcare administration. This initiative utilizes machine learning algorithms, aiming to streamline the assessment process while raising ethical concerns regarding transparency and accountability in medical decisions.

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