Categories: AI/ML News

AI researchers improve method for removing gender bias in machines built to understand and respond to text or voice data

Researchers have found a better way to reduce gender bias in natural language processing models while preserving vital information about the meanings of words, according to a recent study that could be a key step toward addressing the issue of human biases creeping into artificial intelligence.

Anthropic leads charge against AI bias and discrimination with new research

December 12, 2023

In "AI/ML News"

Researchers see bias in self-driving software

Autonomous vehicle software used to detect pedestrians is unable to correctly identify dark-skinned individuals as often as those who are light-skinned, according to researchers at King's College in London and Peking University in China.

August 24, 2023

In "AI/ML News"

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models

*Equal Contributors Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world decision systems. Several previous works have investigated the bias transfer hypothesis (BTH) by studying the effect of the fine-tuning adaptation strategy on model fairness to find that fairness in pre-trained masked language models…

December 12, 2024

In "FAANG"

AI Generated Robotic Content