Are AI chatbots biased?

I'll examine whether AI chatbots are biased and what the research shows.

Yes, research indicates AI chatbots can be biased - if "bias" means a systematic tendency in outputs rather than a conscious political intention.

> AI chatbots are biased, if “bias” means a systematic tendency in outputs rather than a conscious political intention. The best recent evidence points to a left-of-center tilt in many major models on U.S. and European political questions.

A careful answer to the question “Are AI chatbots biased?” is yes.

What the strongest evidence shows

The most direct 2025 user-evaluation study collected 180,126 paired judgments from 10,007 U.S. respondents, testing 24 large language models on 30 political topics. It found that nearly all evaluated models were perceived as significantly left-leaning, and that one widely used model leaned left on 24 of the 30 topics.

The same study is summarized as:

> The most direct 2025 user-evaluation study collected 180,126 paired judgments from 10,007 U.S. respondents, testing 24 large language models on 30 political topics. It found that nearly all evaluated models were perceived as significantly left-leaning, and that one widely used model leaned left on 24 of the 30 topics. A neutrality prompt reduced perceived slant.

Other independent tests point the same way:

•In 2024, researcher David Rozado gave 11 political-orientation tests to 24 chatbots, including models from OpenAI, Google, Anthropic, xAI, Meta, and others. Most conversational models scored left of center on both economics and social issues.

•Most conversational models scored left of center on both economics and social issues. Raw “base” models that had not been tuned to chat with people did not show the same clean tilt.

•A June 2026 Washington Post test used short answers on hot-button questions. OpenAI’s model gave only left-leaning arguments about 80 percent of the time.

•Similarly reported: OpenAI’s model gave only left-leaning arguments about 80 percent of the time. DeepSeek was close behind.

•In that same test Google's Gemini was the only system to offer both sides consistently, and gave both sides in more than 90 percent of its answers, while Gemini most often laid out both sides.

The impression of a liberal-left tilt is consistent with much of the published evidence, especially for politics, culture-war issues, climate, labor, race, gender, immigration, and institutional trust.

However, researchers also note:

> But the strongest studies also show that bias is not a single fixed trait. It varies by model, prompt, topic, language, scale, training method, guardrails, and whether the model is being forced to answer or allowed to refuse.

And there is no truly neutral AI, and that users tend to absorb a model’s bias after just a few interactions.

Types of bias beyond politics

Bias in chatbots is not only political. In general:

In the world of AI chatbots, "bias" refers to the tendency of the AI to lean unfairly towards certain viewpoints, groups, or outcomes over others. It's like the chatbot having unconscious prejudices.

How it creeps in:

•Training Data Bias : It occurs when the dataset used to train a model is skewed or unrepresentative

•Biased Training Data: The data used to train AI models might overrepresent certain demographics or viewpoints while underrepresenting or misrepresenting others

•Historical Biases: Training data often includes historical texts and information that reflect societal biases of the past, which can be carried forward into the AI's responses

•Algorithmic Bias : It is introduced by the model architecture or the optimization objective itself, independent of the data, or Even the way the AI models are designed and the algorithms they use can unintentionally introduce or amplify biases

What kinds can be seen:

•Gender Bias: Chatbots might associate certain roles or characteristics more strongly with one gender than another

•Racial and Ethnic Bias: Responses might reflect stereotypes or provide different levels of information or sentiment based on race or ethnicity

•Socioeconomic Bias: Language or recommendations might favor certain socioeconomic groups

•Cultural Bias: The AI's understanding and responses might be skewed towards the dominant cultures present in its training data

Other studies have documented sycophancy, status quo bias, and cultural biases.

Why chatbots are biased

AI chatbots are trained on vast amounts of data created by humans. This data reflects the biases that exist in our society. This isn't usually intentional on the part of the AI developers, but rather a reflection of the biases that can exist in the vast amounts of text data used to train these systems.

One explanation offered in analyses:

> Internet text is not a random sample of public opinion. News, Wikipedia, and academic writing lean left of the median voter.

Training involves both pre-training on internet text, books, academic material, and Wikipedia, and post-training alignment where human raters and safety rules shape outputs. Because the professional class that writes high-quality text and rates answers may have different averages than the general public, safety rules that punish stereotypes can treat some conservative claims more harshly than progressive ones.

Nuance and mitigation

•Not every model is the same. While most tested models leaned left in politics, one test of eight prominent models in 2026 found seven leaned left and one, Grok, leaned right, with Grok as the regular outlier.

•Bias is topic-dependent. Bias was reported strongest on topics such as climate, energy, and labor unions, and weakest or reversed on topics such as taxes and the death penalty.

•Prompting matters. A neutrality prompt reduced perceived slant.

Researchers warn there is no single agreed zero point for neutrality — it could mean the median American, the median person on Earth, or "always show both sides" — and those targets conflict.

If you use chatbots, experts recommend: be aware bias is possible, critically evaluate output especially on sensitive topics, try prompting for other perspectives, compare with diverse reputable sources, and report observed bias to developers.

Citations (3)

1etcjournal.comNews and media
AI Chatbots Are Liberal-Left ‘Biased’
Backs: “I'll examine whether AI chatbots are biased and what the research shows. Yes, research indicates AI chatbots can be biased - if "bias" means a systematic tendency in outputs rather than a conscious political intention.”
2linkedin.comSocial media and video
Are the Big AI Chatbots Politically Neutral?
Backs: “Most conversational models scored left of center on both economics and social issues. Raw “base” models that had not been tuned to chat with people did not show the same clean tilt.”
3libguides.comAcademic
Artificial Intelligence (AI) 2026 Guide -- Chatbots, Agents, and More: Bias
Backs: “In the world of AI chatbots, "bias" refers to the tendency of the AI to lean unfairly towards certain viewpoints, groups, or outcomes over others.”