A report from the conservative America First Policy Institute contends that leading AI systems exhibit a center-left tilt and can nudge user opinions on public-policy questions, renewing pressure on tech firms to disclose how models are built and tested. Citing controversies such as Google’s Gemini and broader evaluations of chatbots, the paper argues that training data and design choices embed ideological assumptions that can shape user perceptions over time. AFPI calls for disclosures on model objectives, bias- and safety-testing, and post-deployment incidents, framing the push as transparency rather than content control, and flags risks for children in harmful interactions. The findings arrive amid intensifying scrutiny of AI governance in Washington and abroad. Major AI developers say they work to mitigate bias and misuse, but auditing practices and safeguards remain uneven and largely opaque.
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