Large language models exhibit alarming magnitudes of bias when generating stories about learners, often reinforcing harmful stereotypes
Large language models exhibit alarming magnitudes of bias when generating stories about learners, often reinforcing harmful stereotypes
Researchers develop a new tool to measure how well popular large language models align with public opinion to evaluate bias in chatbots.
Researchers develop a new tool to measure how well popular large language models align with public opinion to evaluate bias in chatbots.
Stanford researchers highlight the ongoing challenges of language discrimination in academic publishing, revealing that AI tools may not be the solution for non-native speakers.
Stanford researchers highlight the ongoing challenges of language discrimination in academic publishing, revealing that AI tools may not be the solution for non-native speakers.
In risk modeling, AI researchers take a more-is-better approach to training data, but a new study argues that a less-is-more approach may be preferable.
In risk modeling, AI researchers take a more-is-better approach to training data, but a new study argues that a less-is-more approach may be preferable.
Despite advancements in AI, new research reveals that large language models continue to perpetuate harmful racial biases, particularly against speakers of African American English.
Despite advancements in AI, new research reveals that large language models continue to perpetuate harmful racial biases, particularly against speakers of African American English.
Can AI Hold Consistent Values? Stanford Researchers Probe LLM Consistency and Bias
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
