Algorithmic complexity and information theory are foundational disciplines that intersect to elucidate how data is structured, transmitted and computed. At its core, algorithmic complexity seeks to ...

Source: Walther, AI-generated with Claude / Anthropic, 2026 Algorithms are growing more powerful by the year. What they measure is a ghost of a pattern that once looked like someone statistically ...

Forbes contributors publish independent expert analyses and insights. AI researcher working with the UN and others to drive social change. In our workplaces a quiet revolution is unfolding. It is ...

Dr. Rumman Chowdhury has built solutions in the field of applied algorithmic ethics since 2017. She is the CEO and co-founder of Humane Intelligence, a nonprofit dedicated to algorithmic access and ...

This study develops an algorithmic framework for incorporating fairness constraints into sequential search problems where inspecting each candidate is costly. The framework generalizes classical ...

While hypothesis testing is a highly formalized activity, hypothesis generation remains largely informal. We propose a procedure that uses machine learning algorithms—and their capacity to notice ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

Machines can discriminate in harmful ways. I experienced this firsthand, when I was a graduate student at MIT in 2015 and discovered that some facial analysis software couldn’t detect my dark-skinned ...