Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...
Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...
Opinion

Does AI bias matter?

Cases of consumer AI bias have attracted widespread attention, highlighting the challenges of ensuring fairness in automated systems. Google Gemini, for instance, faced criticism for generating ...
Please provide your email address to receive an email when new articles are posted on . Bias can creep into AI models unintentionally during development and training. AI models should be continuously ...
Please provide your email address to receive an email when new articles are posted on . Bias can creep into AI models unintentionally during development and training. AI models should be continuously ...
AI should be a dream for any chief data officer, but before you can embrace the full creative effectiveness and efficiencies of AI, there’s a problem afflicting its ability to produce strong ideas ...
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...
For centuries, systemic bias has shaped how Americans live, work and are governed. It influences who receives quality health care, which neighborhoods are over-policed and whose concerns make it into ...
Researchers from the University of Washington examined how AI tools used during the recruitment process exhibited race-based biases when giving recommendations about candidates, and found that when an ...
AI learns from organizational patterns, not intentions. Unexamined bias can become embedded in the automated systems leaders rely on every day. Do you ever worry that the choices you make today might ...
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 ...
Employment attorneys warn that businesses shouldn’t be lulled into a false sense of security about assessing their AI-powered hiring tools for disparate impact discrimination.