Home bias leads investors to favor domestic stocks, often ignoring the advantages of global diversification. Learn how this ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

A new study published in Psychological Medicine has found that a specific type of cognitive training can reduce biological ...

Objectives To examine the barriers and facilitators of anorexia nervosa (AN) recovery in adults with autism. Design Qualitative study using semi-structured interviews with autistic adults who ...

Looking back at 2025, it’s obviously, on a daily basis, why the broadcast networks are dismissed by most Americans as a source of daily advertising for one side of the political debate. This tilt has ...

A new study reveals that pathology AI models for cancer diagnosis perform unequally across demographic groups. The researchers identified three explanations for the bias and developed a tool that ...

What happens when artificial intelligence stops being a tool and starts becoming a mirror for its creator’s ego? Grok, the AI chatbot developed under Elon Musk’s leadership, seems to have crossed that ...

Abstract: Deep Neural Networks have been shown to perform poorly or even fail altogether when deployed in real-world settings, despite exhibiting excellent performance on initial benchmarks. This ...

Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...

Sampling (or sample) bias is a widespread concern in scientific research, across several disciplines. The concept of sampling bias originated in statistical studies. The consequence of a biased sample ...

According to IBM, AI bias “refers to AI systems that produce biased results that either reflect or perpetuate human biases within a society, including historical and current social inequality.” When ...