Chery Automobile publishes AI governance white paper

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Chery’s AI whitepaper signals that governance is becoming a competitive differentiator in global automotive markets Chery Automobile has published an artificial intelligence (AI) compliance whitepaper that lays out its governance framework against regulatory requirements in more than 80 jurisdictions. Prepared through Nextai, Chery’s smart technologies business founded in June 2024, the document identifies nine practical compliance cases covering data management, system security and talent development. The article compares Chery’s practices to the global regulatory environment, where more than 2,214 AI-related policies have been issued as of February 2026. Compliance failures under regimes such as the EU’s Artificial Intelligence Law can attract penalties of up to €35 million. [US$40.6 million] or 7% of annual global turnover for the most serious violations. Nextai’s documented use cases include an intelligent programming assistant that leverages open datasets to manage training data compliance, a talent discovery platform designed to exclude non-professional criteria such as age and marital status, and a computer-aided engineering simulation system with full process traceability for AI model changes. The DevOps monitoring platform provides intelligent surveillance of production lines with manual inspection checkpoints for high-risk operations such as fault self-healing. Chery has conducted more than 40 AI training sessions, covering all key business units and functional departments, with total attendance exceeding 10,000. The OEM has also launched an AI Evangelist Development Program in partnership with Chery University to improve AI literacy across its workforce.

Information: This content was prepared and published using AutomobileMagazine’s artificial intelligence-supported publishing system, in line with the information shared by international automotive manufacturers and reliable press sources.

Automobile Magazine – English News

Source link 2026-07-01 12:28:00

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