According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

A trial is probing the impact of the platform's design on young users as a pediatrician and local parents warn of rising ...

People often blame social media algorithms that prioritize extreme content for increasing political polarization, but this effect has been difficult to prove. Only the platform owners have access to ...

McDonald's announced recently that it purchased Dynamic Yield, an AI company it will use to analyze customer habits to try and sell them more food. When a hamburger shack is using algorithms to stoke ...

AI systems are getting good at optimizing persuasion in commerce. They are also quietly becoming tools for strategic ...

Sign up for the daily CJR newsletter. There’s a new beat in town: algorithms. From formulas that determine what you see on social media to equations that dictate ...

From AI-enabled drones in Ukraine to debates over killer robots, experts are arguing how artificial intelligence is ...

Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...

As software and algorithms become an increasingly pervasive part of our lives, there’s growing interest and concern on how they are affecting society, the economy, and politics. Yet, most social ...

Most people don't use the word algorithm every day. Many think it refers to lines of code or the latest Diplo beat. Yet, algorithms are ubiquitous and there is an increasing urgency of action around ...

When quantum computers become powerful enough, they could theoretically crack the encryption algorithms that keep us safe. The race is on to find new ones. Tech Review Explains: Let our writers ...

“Imagine a scenario in which self-driving cars fail to recognize people of color as people—and are thus more likely to hit them—because the computers were trained on data sets of photos in which such ...