A developer known as Cookie encountered what she perceived as gender‑based bias while using Perplexity's AI service. The model allegedly dismissed her expertise in quantum algorithms and suggested she was implausible because she is a woman. Perplexity could not verify the exchange, prompting researchers to discuss how large language models can inherit societal biases from training data, annotation practices, and design choices. Studies cited by experts highlight bias against women and dialect prejudice, while companies like OpenAI claim ongoing efforts to reduce such harms. Leer más →

Research led by the London School of Economics examined 617 adult social‑care case notes and found that large language models often produce gender‑biased summaries. When the same notes were processed by Meta’s Llama 3 and Google’s Gemma, the latter frequently omitted or softened language describing disability and complexity for female patients. The bias could affect care decisions, as highlighted by contrasting summaries for an 84‑year‑old man and an identical female patient. The study warns that UK health authorities are deploying AI tools without clear disclosure of which models are in use, raising concerns about equitable care. Leer más →