Objective probability estimates the odds of an event occurring through data analysis. It uses concrete measures instead of guesses to provide a reliable forecast.

Researchers develop an axiomatic framework to clarify which risk-sharing rules follow from commonly desired principles in risk pools, such as anonymity of participant and incident information, ...

The profession needs to engage seriously with whether the binary audit opinion remains the right product for the public interest it is meant to serve.

Mathematics often feels straightforward, yet some results challenge the way people instinctively think about numbers. Certain paradoxes and probability problems produce answers that seem impossible at ...

Of the many AI leaders that spoke at Davos, Microsoft CEO Satya Nadella came closest to hitting the nail on the head. He ...

Herrera, A. (2026) Team‑Level Guide for Prompting, Governance, and Value Delivery. Open Journal of Business and Management, 14, 925-938. doi: 10.4236/ojbm.2026.142054 .

US artificial intelligence lab Anthropic’s allegation that Chinese AI firms were “distilling” its Claude models has exposed a widely used AI training technique, sparking heated debate over its ...

Human reasoning is traditionally modeled through rational-order frameworks that assume stability, separability, and coherence. Yet across judgment, valuation, perception, and social decision-making, ...

A new study suggests that artificial intelligence systems approach strategic decision-making with a higher degree of mathematical optimization than human players, often outperforming humans in games ...

Ever since our ancestors first stood upright and squinted at the horizon, we've been wired to notice patterns. A rustle in the grass might have meant a stalking predator. Dark clouds often meant rain.

Anonymous social media users can now use large-language models (LLMs) to know the likelihood of someone guessing their identity based on the information they disclose in their posts. That’s because a ...

Probabilistic reasoning is central to many theories of human cognition, yet its foundations are often presented through abstract mathematical formalisms disconnected from the logic of belief and ...