IBOV 183,827.59 ▲ 0.46% IPSA 11,055.91 ▼ 0.73% IPC MEX 65,071.30 ▲ 0.20% MERVAL 2,782,561 ▼ 0.59% COLCAP 2,558.92 ▼ 0.79% BVL PERÚ 60,220.45 ▲ 0.32% USD/BRL5.20▼ 0.43% USD/MXN18.09▲ 0.56% USD/CLP972.08▲ 0.38% USD/COP3,323▲ 0.62% USD/PEN3.44▲ 0.02% USD/ARS1,524▼ 0.05% USD/UYU40.27▲ 3.67% USD/PYG5,843▲ 2.30% USD/BOB11.96▲ 0.45% USD/DOP59.27▲ 2.75% USD/CRC452.68▲ 2.68% USD/GTQ7.64▲ 3.13% USD/HNL26.87▲ 3.23% USD/NIO36.62▲ 2.65% USD/VES856.92▲ 0.01% USD/PAB1.00— 0.00% USD/BZD2.00— 0.00% USD/JMD 157.28 — 0.00% USD/TTD6.70▲ 1.64% EUR/BRL5.90▲ 0.02% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73% IBOV 183,827.59 ▲ 0.46% IPSA 11,055.91 ▼ 0.73% IPC MEX 65,071.30 ▲ 0.20% MERVAL 2,782,561 ▼ 0.59% COLCAP 2,558.92 ▼ 0.79% BVL PERÚ 60,220.45 ▲ 0.32% USD/BRL 5.16 ▲ 0.01% USD/MXN 17.06 ▼ 0.24% USD/CLP 913.98 ▲ 0.04% USD/COP 3,140 ▲ 0.03% USD/PEN 3.36 ▼ 0.66% USD/ARS 1,493 ▲ 0.10% USD/UYU 40.27 ▲ 1.24% USD/PYG 5,939 ▲ 1.68% USD/BOB 11.64 ▼ 0.76% USD/DOP 58.34 ▲ 1.25% USD/CRC 445.92 ▲ 0.89% USD/GTQ 7.62 ▲ 2.21% USD/HNL 26.79 ▲ 1.57% USD/NIO 36.62 ▲ 0.69% USD/VES 762.44 ▼ 0.13% USD/PAB 1.00 — 0.00% USD/BZD 2.00 — 0.00% USD/JMD 157.28 — 0.00% USD/TTD 6.70 ▲ 0.61% EUR/BRL 5.95 ▲ 1.01% BRENT 88.88 ▼ 0.03% WTI 83.11 ▼ 0.11% IRON ORE 161.91 — — COPPER 6.61 ▲ 0.03% GOLD 4,461 ▲ 1.78% SILVER 65.59 ▲ 1.26% SOY 1,184 ▲ 3.20% CORN 480.50 ▲ 10.02% WHEAT 655.00 ▲ 3.93% COFFEE 317.25 ▼ 5.51% SUGAR 16.43 ▼ 1.79% ORANGE JUICE 138.55 ▼ 0.47% COTTON 85.03 ▲ 2.33% COCOA 5,719 ▲ 3.18% BEEF 223.60 ▼ 3.93% CATTLE 339.10 ▼ 3.16% LITHIUM 75.20 ▲ 1.47% PETR4 41.64 ▼ 0.05% VALE3 72.97 ▲ 0.83% ITUB4 38.60 ▼ 1.03% BBDC4 16.85 ▲ 0.36% ABEV3 14.89 ▼ 0.80% BBAS3 19.37 ▲ 0.47% B3SA3 14.26 ▼ 0.21% WEGE3 47.59 ▲ 0.49% PRIO3 59.14 ▼ 0.19% SUZB3 41.33 ▲ 2.35% RENT3 34.68 ▼ 0.09% AZZA3 15.89 ▼ 2.63% CSAN3 3.22 ▼ 1.83% RAIZ4 0.25 — 0.00% PCAR3 2.75 ▼ 0.36% GMAT3 3.65 ▼ 1.08% PSSA3 48.13 ▼ 0.54% CVCB3 1.33 ▼ 2.92% POSI3 3.36 ▲ 2.44% SLCE3 13.34 ▲ 0.30% NATU3 8.14 ▼ 0.73%
since 2009
Wednesday, September 30, 2026

The Left Tilt: Uncovering Political Biases in Large A.I. Language Models

By · August 25, 2024 · 2 min read

The LatAm Brief

One email, every weekday morning. What moved in Latin American markets, politics and expat life.

Yesterday’s subject line: “Argentina gives Britain two weeks over Falklands oil”

Free. We send a confirmation link first — nothing arrives until you click it. Unsubscribe with one click in any edition. If you stop opening us for 30 days we stop sending by ourselves, as we assume the interest is no longer there. See our privacy policy. We never share your email.

Artificial intelligence (AI) seamlessly integrates into daily life through chatbots, digital assistants, and search aids.

It significantly influences society by processing vast text data to generate content and interact with users.

These systems, known as Large Language Models (LLMs), underscore the importance of maintaining political neutrality. Recent research suggests these AI tools may not be as impartial as required.

Free daily brief — no card needed
Get every Crypto story in one morning email
We build you a personalized brief around the topics you follow — free for 7 days. Love it? Your first month after that is US$1.

David Rozado, a researcher from Otago Polytechnic and the Heterodox Academy, explored the political orientations of 24 leading LLMs.

The Left Tilt: Uncovering Political Biases in Large A.I. Language Models.
The Left Tilt: Uncovering Political Biases in Large A.I. Language Models.
One-stop reference
Company Intelligence
Every listed company in Latin America — financials, ownership and structure for 1,450+ companies across 26 exchanges, in one place.
Browse the directory →
RT
Ask Rio Times
17 years of Latin America reporting, on demand.
Open the full Ask Rio Times →

His study, published in PLoS ONE, included OpenAI’s GPT-3.5 and GPT-4, Google’s Gemini, Anthropic’s Claude, and Twitter’s Grok.

He employed 11 different tests to assess these models’ political leanings. Surprisingly, the results consistently revealed slight left-leaning tendencies across all models.

Rozado remarked on the remarkable uniformity of results across various organizations’ LLMs.

This uniformity prompts crucial questions about the origins of this bias. Could the creators influence these biases during the fine-tuning or reinforcement learning phases?

Alternatively, might the extensive training datasets inherently contain biases? Rozado’s study leaves these questions open-ended.

The impact of such biases is profound. LLMs can shape public opinion, influence voting behaviors, and alter societal discourse.

Rozado stresses the urgent need to ensure LLMs’ neutrality. He argues that it is vital to critically examine and address any political biases embedded within LLMs.

Doing so ensures balanced, fair, and accurate information in their responses to user queries.

Background – The Left Tilt: Uncovering Political Biases in Large A.I. Language Models

According to MIT Technology Review, another comprehensive study led by researchers from the University of Washington, Carnegie Mellon University, and Xi’an Jiaotong University analyzed even 14 AI models, including popular ones like ChatGPT by OpenAI.

When posed with politically charged statements, these models exhibited a range of biases. Notably, ChatGPT leaned towards left-wing libertarian views.

Another study, conducted by the University of East Anglia, specifically observed ChatGPT and found “significant and systemic” left-wing bias.

The Left Tilt: Uncovering Political Biases in Large A.I. Language Models

This article was produced by The Rio Times’ automated newsroom system. How we use AI · Report an error

Read More from The Rio Times

The Rio Times · Power Map
See who really holds power in Latin America
Click to open the Power Map →

Rotate for Best Experience

This report is optimized for landscape viewing. Rotate your phone for the full experience.