Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...

Structured interviews offer consistent evaluation criteria. Bias reduction leads to more diverse hiring outcomes. Data-driven approaches enhance decision-making. Structured interviewing has emerged as ...

Targeted interventions at patient, provider, and health system levels can optimize COVID-19 management in disproportionately affected communities. Multilevel assessments revealed increased vaccination ...

Bias and regulation are decoupled in agent systems. The intergroup bias appears to be intrinsic and difficult to eliminate.

AI is undeniably reshaping the modern workplace. As a recent Gallup study revealed, 93% of Chief Human Resource Officers (CHROs) report their organizations are leveraging AI to boost productivity and ...

Hirundo reduces bias in DeepSeek-R1 by 76% without performance loss, releasing the fairer model on Hugging Face to promote responsible AI development. Bias in AI is not just a technical issue—it’s a ...

For all AI's progress, the breakthroughs have come with great risks. Models are getting smarter, faster and more autonomous, but core challenges remain largely unsolved: How do we reduce bias, ensure ...

Everyone employs bias—otherwise known as cognitive shortcuts—in their lives every day. Imagine you’re scrolling through your social media feed and immediately dismiss a news article because it comes ...

Source: By Lizbeth Jacobs/GoAnimate, used with permission. A review of the scholarly literature on diversity training programs shows that after 30 years and thousands of workplace diversity ...