Automotive industry professionals deep dive into TÜV AUSTRIA´s TRUSTED AI

01.04.2026

Expert Shanghai event cuts an AI-driven path towards the future of automotive safety and quality.

Modestly titled “TRUSTED AI and Automotive Safety & Quality“, TÜV AUSTRIA Group´s hands-on AI event staged in Shanghai impressed automotive experts and industry representatives from automotive OEMs, component suppliers, AI algorithm companies, and the fields of software quality and security.

Standardization of AI system certification, ASPICE audit practices, and multi-agent collaboration energized the top-tier crowd´s lively exchanges. TÜV AUSTRIA provided valuable practical guidance for enterprises to build quality and safety capabilities in the era of intelligent connectivity. Senior experts from several leading OEMs and suppliers praised TÜV AUSTRIA´s AI deep dive for delivering “highly rewarding [substance]”.

TÜV AUSTRIA’s Game-Changing White Paper Sets the Stage for Trusted AI

“Safe and Certifiable AI Systems“, TÜV AUSTRIA’s second AI white paper, marked a milestone in the group’s long-standing research efforts, offering enterprises a practical and realistic blueprint for ensuring trust in AI. As Leon Xu, Head of TÜV AUSTRIA China’s Automotive Service Division, emphasized, “AI will undeniably shape our future—but safety and trust must remain the baseline.” The white paper’s insights into risk management, emerging regulations, and future certification approaches set the tone for the event’s overarching message:Trusted AI is the foundation for sustainable innovation.”

Building on this, TÜV AUSTRIA TRUSTIFAI Managing Director Andreas Gruber outlined the rapidly evolving landscape of AI system standardization, particularly in autonomous driving. With the EU AI Act redefining expectations, Gruber stressed the need for enterprises to develop trusted AI capabilities across functional safety, cybersecurity, and data governance—supported by international case studies that showed how to manage real-world development and deployment challenges.

Industry Practices: In-Vehicle AI, ASPICE, and Quality Assurance

With the core framework defined, the seminar transitioned into concrete automotive and quality assurance applications—each contribution reinforcing the central theme of trust.

Alex Teng, Automotive Safety & AI Technology Manager at TÜV AUSTRIA China, translated the EU AI Act into the Trusted AI framework, detailing the machine learning audit catalog as a practical tool for compliant implementation in high‑risk systems.

Turning to cybersecurity and regulatory alignment, Software Engineering Manager Sunny Ni demonstrated how ASPICE supports UN R155/R156 compliance and equips enterprises to meet stringent expectations for automotive software security.

Representing Volkswagen Group China, Bingyi An highlighted the necessity of embedding trustworthiness into the R&D phase, underscoring that AI reliability begins at the design level.

tuv-austria-china-trusted-ai-automotive-industry-org-03252026-1200px-compr
Modestly titled “TRUSTED AI and Automotive Safety & Quality“, TÜV AUSTRIA Group´s hands-on AI event staged in Shanghai impressed automotive experts and industry representatives from automotive OEMs, component suppliers, AI algorithm companies, and the fields of software quality and security. Standardization of AI system certification, ASPICE audit practices, and multi-agent collaboration energized the top-tier crowd´s lively exchanges. TÜV AUSTRIA provided valuable practical guidance for enterprises to build quality and safety capabilities in the era of intelligent connectivity. Senior experts from several leading OEMs and suppliers praised TÜV AUSTRIA´s AI deep dive for delivering “highly rewarding [substance]”.

Expanding the discussion into cutting-edge research, Professor Guanjie Cheng of Zhejiang University introduced a trusted collaboration framework for multi-agent systems—offering a fresh perspective for autonomous driving in complex environments.

FAW-Volkswagen’s Baixu Liu continued the ASPICE focus, comparing traditional software engineering with machine learning engineering and explaining how both disciplines must integrate to enable trustworthy AI functions.

Completing the picture, Qianqian Guo explored the real-world challenges of implementing ASPICE MLE, spotlighting data quality management and model validation as essential pillars of machine learning engineering.

Quality assurance expert Hongbo Li added a lifecycle perspective, proposing a strategy that unites shift-left testing with continuous verification to uphold AI reliability over time.

In closing, corporate security specialist Naixiong Zeng connected functional safety and AI safety, reviewing relevant standards—from ISO 26262 to ISO/SAE 8800—and outlining fault tolerance and error‑detection mechanisms that enhance the robustness of AI algorithms.

Forging Ahead with Trusted AI

The TÜV AUSTRIA deep dive brought together leading industry voices to reinforce a shared message: “AI is transforming the automotive industry, but trust and safety remain non-negotiable.” The event served not only as a platform for exchanging ideas but also as a launchpad for collaboration. With its decades of expertise in testing, certification, standardization, and training, TÜV AUSTRIA is committed to supporting Chinese automotive enterprises in building trustworthy AI capabilities and advancing confidently in global markets.

TÜV AUSTRIA: Over 150 Years of Technical Excellence Supporting Global Ambitions

TÜV AUSTRIA China continues to help the nation’s automotive sector expand globally with one-stop export solutions spanning entire supply chains—from EU Type Approval and international market access to certification services in Functional Safety, SOTIF, Cybersecurity, and ASPICE.

Trust in safety, in progress, markets & people. TÜV AUSTRIA Group. #wecare

TRUSTIFAI | TRUSTED AI by TÜV AUSTRIA Contact Information

TRUSTIFAI – TÜV AUSTRIA & SCCH AI Joint Venture
Andreas Gruber, MSc, MSc
Phone: +43 664 604 54 6592
Email: andreas.gruber@tuvaustria.com
Website: trustifai.at

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