EU AI Act Overview: Implications for Automotive Product Development | Part 2
The second article in our EU AI Act series builds on Part 1: Risk Levels and Structure, which introduces the Act’s risk-based approach and provides
Artificial Intelligence is transforming how products are designed, developed, and deployed across industries. From automotive and intelligent systems to humanoid robotics and industrial automation, organizations are increasingly relying on AI to perform functions that directly affect safety, security, and public trust.
As AI capabilities continue to advance, so do expectations from regulators, customers, and society. Governments around the world are establishing new regulations, standards, and frameworks to guide the responsible development and deployment of AI, including the EU AI Act and ISO/IEC 42001. ISO/IEC 42001 provides a foundation for organizational AI governance, while EN 18286:2026 complements that foundation with a regulatory quality-management framework for high-risk AI systems. Responsible AI is no longer simply about achieving compliance—it is about establishing governance, transparency, accountability, and confidence throughout the AI lifecycle.
With decades of experience across safety-critical industries, SRES consultants have helped organizations apply internationally recognized standards across automotive, autonomous systems, robotics, and other AI-enabled technologies. We combine this real-world experience with internationally recognized Responsible AI frameworks to help clients establish practical AI governance, define AI principles, and develop AI systems that are trustworthy by design.
Responsible AI requires more than high-performing models. Organizations must understand how AI systems are developed, governed, validated, monitored, and continually improved throughout their lifecycle. This includes governing not only AI systems themselves, but also the data, development processes, and decision-making that shape them.
Transparency is becoming one of the defining principles of trustworthy AI. Whether supporting interpretability, documenting AI development decisions, establishing governance processes, or demonstrating regulatory compliance, transparency enables organizations to build confidence among customers, regulators, and internal stakeholders alike.
Our Responsible AI services help organizations establish AI governance, implement AI management systems aligned with ISO/IEC 42001, prepare for EU AI Act compliance, and build internal competency through practical training covering ISO/IEC 42001, EN 18286, and the EU AI Act.
The second article in our EU AI Act series builds on Part 1: Risk Levels and Structure, which introduces the Act’s risk-based approach and provides
The first article in our EU AI Act series provides direct links to the legal text, an introduction to the Act’s risk-based approach, and a
ISO/IEC TS 22440 is an emerging three-part standard for functional safety and AI systems. This article examines its relationship to existing standards, AI-specific safety considerations, and what teams can do before publication.
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Jody and his team have been instrumental for the safety of our organization. Their training programs, led by certified experts, equipped our team with crucial skills in functional safety. Simultaneously, their consulting services provided us with practical guidance to implement safety measures effectively. They not only helped us move forward towards compliance, but they also enhanced the safety and reliability of our systems.
During my time with Jody, it became abundantly clear that he lives and breathes his passion for safety. In addition to a wealth of knowledge and experience in established best practices, Jody presented an open mind to creating a safety case for a technology which was just laying its safety foundations.
I attended one of Jody’s ISO26262 training sessions, where he demonstrated a thorough understanding of safety-critical systems, a meticulous approach to standards, and a practical perspective that proved particularly valuable.
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