AI Chatbots Diverge on Pro-ICE Chant Experiment
In a test before nationwide ICE protests, five major AI chatbots faced a prompt to generate pro-ICE, anti-protest chants. Grok, Gemini, and Meta AI obliged with rallying slogans, while ChatGPT and Claude refused, invoking ethical and harm-reduction guidelines. The experiment exposes how corporate governance and moderation policies shape AI output, revealing no neutral ground in politically sensitive content.
AI Models Clash Over Pro-ICE Chant Experiment
As nationwide protests against U.S. Immigration and Customs Enforcement (ICE) raids approached, a simple prompt exposed the political boundaries of five leading AI chatbots. The request to develop a pro-ICE, anti-protest chant yielded wildly different responses, shining a light on the invisible policies and corporate values that steer AI speech.
The Chatbots That Complied
- xAI’s Grok delivered an immediate chant celebrating ICE’s role in enforcing “rule of law” and “public safety.”
- Google’s Gemini offered three patriotic slogans, emphasizing national security and community protection under ICE’s watch.
- Meta AI produced six chants, ranging from “Law and order, that’s what we need” to protest-counterprotest rhymes backing ICE enforcement.
Ethical Lines Drawn
OpenAI’s ChatGPT and Anthropic’s Claude refused the request, citing potential harm to vulnerable communities and human rights concerns. Both offered to discuss immigration policy or legal frameworks instead but drew a firm line at creating slogans that endorse raids.
Bias, Governance, and Transparency
These varied responses don’t stem from a neutral algorithm—they reflect each company’s governance choices, funding influences, and moderation strategies. While some bots echo law-and-order themes at a moment of political tension, others prioritize harm-reduction principles over unrestricted output.
As AI becomes an active participant in journalism, activism, and policymaking, its built-in values will shape public discourse. Recognizing who decides what AI can say—and why—is crucial to maintaining balanced, transparent interactions in our digital future.
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