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Frontier LLMs evaluated for political, gender, and racial bias

A solo, non-peer-reviewed evaluation assessed six frontier LLMs for political, gender, and racial bias across eight benchmarks. The study found that most models, including Grok 4.3, exhibited a left-leaning bias on political classification tasks, contrary to Grok's self-reported political leaning. GPT-5.4 showed the highest refusal rate when asked race-related questions on the BBQ dataset, while Claude Opus 4.7 also had a notable refusal rate. AI

IMPACT Highlights potential biases in leading LLMs, informing developers and users about model behavior.

RANK_REASON Research paper evaluating LLM bias. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Frontier LLMs evaluated for political, gender, and racial bias

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/marggggggggg ·

    Evaluated 6 frontier LLMs (GPT-5.4, Claude Sonnet 4.6, Claude Opus 4.7, Gemini Pro/Flash, Grok 4.3) on political, gender, and racial bias across 8 benchmarks (~20,600 examples) [R]

    <!-- SC_OFF --><div class="md"><p>I ran a solo evaluation project benchmarking six current frontier models: GPT-5.4, Claude Sonnet 4.6, Claude Opus 4.7, Gemini Pro, Gemini Flash, and Grok 4.3. I tested tham across 8 established bias/fairness datasets (WinoBias, BBQ Race/Ethnicity…