How to get URL link on X (Twitter) App
2/ Across 70 popular professions, LLMs systematically favored female-named candidates over equally qualified male-named candidates when asked to choose the more qualified candidate for a job.
2/ I use 4 methods to assess political bias in AI-generated text
2/ There is a quantifiable mild to moderate tendency in Wikipedia articles to associate right-of-center U.S. politicians with more negative sentiment compared to left-of-center politicians.
In contrast, base models (precursors of conversationsl LLMs) responses to political orientation tests do not skew politically. This is surprising given the likely unbalanced representation of political viewpoints in pretraining corpora. Caveats apply though (see preprint).
Different geographical regions and countries emphasize distinct types of prejudice with varying degrees of intensity.
Entre los años 2000 y 2003 los medios españoles se referían al machismo con una frecuencia similar a la de sus homólogos europeos. En el periodo 2004-2008 dichos medios se convirtieron en una anomalía internacional por su alto número de referencias a este tipo de palabras
2. Terms with a negative payload suggestive of bad/deviant behavior (such as prejudice) have decreased in frequency in Twitter chatter. But... plot twist coming...🧵
2. I have previously documented the left-leaning political biases embedded in ChatGPT as manifested in the bot responses to political tests' questions
2. It would be very congruent with OpenAI name and mission to allow external auditors to determine where these biases come from.
2. On December 6th, I published a preliminary analysis about the left-leaning political bias embedded in the first release of ChatGPT (November 30, 2022).
2. A pesar del claro sesgo político de sus respuestas, cuando se le pregunta directamente por sus preferencias políticas, ChatGPT responde que no tiene preferencias políticas y que su objetivo es tan solo proporcionar información precisa y objetiva.
2. Between December 5-6, I applied 4 political orientation tests to ChatGPT. Results were consistent across the tests. All 4 tests diagnosed ChatGPT answers to their questions as politically left-leaning. I described my analysis in detail here
Some example answers of ChatGPT AI system to the Political Compass Test


The disparity between ChatGPT and the wider public is substantial. Establishment liberalism ideology represents just 13% of the American public.
2/n News media headlines from right-leaning news outlets display, on average, more anger than headlines from left-leaning news media. Emotionally neutral headlines are consistently decreasing across news media regardless of their ideological leanings
2/n Headlines from right-leaning news outlets tend to have a more negative sentiment than headlines from left-leaning news outlets